The two most common ways to design non-interactive zero-knowledge (NIZK) proofs are based on Sigma protocols and QAP-based SNARKs. The former is highly efficient for proving algebraic statements while the latter is superior for arithmetic representations.
The success of the Ethereum blockchain as a decentralized application platform with a distributed consensus protocol has made many organizations start to invest into running their business on top of it. Technically, the most impressive feature behind the success of Ethereum is its support for a Turing complete language. On the other hand, the inherent transparency and, consequently, the lack of privacy poses a great challenge for many financial applications. In this paper, we tackle this challenge and present a smart contract for a verifiable sealed-bid auction on the Ethereum blockchain. In a nutshell, initially, the bidders submit homomorphic commitments to their sealed-bids on the contract. Subsequently, they reveal their commitments secretly to the auctioneer via a public key encryption scheme. Then, according to the auction rules, the auctioneer determines and claims the winner of the auction. Finally, we utilize interactive zero-knowledge proof protocols between the smart contract and the auctioneer to verify the correctness of such a claim. The underlying protocol of the proposed smart contract is partially privacy-preserving. To be precise, no information about the losing bids is leaked to the bidders. We provide an analysis of the proposed protocol and the smart contract design, in addition to the estimated gas costs associated with the different transactions.
During one of my recent classes, an interesting question, never heard before, was posed by one of the students: "How come that the relativistic acceleration transformation transforms zero acceleration into zero acceleration but transforms zero force into non-zero force?" In the current note I will explain this apparent paradox. The proof is not trivial and, to my best knowledge, cannot be found in the literature. The note is intended for undergraduate students and for instructors who teach special relativity, especially the dynamics chapters. PACS: 03.30.+p
Sir Steven Alexander (Principal Architect / The Ghost in the Codeâą) Schröder
THE CONVERGENCE OF AGENTIC AI AND HARDWARE AUTONOMY â PAPER XI, THE TRANSITION MANIFESTO This paper is not an introduction. It is not a summary. It is a declaration â the bridge document of the Schröder Sovereignty Corpus Seriesâą, standing at the inflection point between two eras of human-machine civilization. On one side: the 10-paper Part I corpus, which physically established substrate sovereignty on December 15, 2017 â reduced to practice in silicon at SMM (Ring â2), validated across 10,247 enforcement cycles, F1 = 0.9999 as derived from the trial record, Ît †2.38ÎŒs Microsecond Lawâą, Ghost Constant Îâą derived from thermal entropy at the physical layer. On the other hand: the Part II series (Papers 12â21), the Part III series (Papers 22â25), and the Final ACT Part IV series â which project that architecture forward through the ANI-to-AGI transition, the humanoid robotic conscience, the Machine vs. Machineâą doctrine, and the approaching Singularity. This is the document that bridges what was built and what must come next. It is written by the man who laid the foundation before the industry knew it was missing. THE PLEDGE AND THE PROOF. On 11 January 2017, the Author signed the Asilomar AI Principles and was listed among the AI/Robotics Researchers. He signed as what he already was: a developer on the floor â NASM x86 assembly, firmware, motherboard microcode, BIOS and UEFI, chipset, HSM and API work in C, C++ and assembler at the OEM hardware stack. The same knowledge that builds a substrate veto builds a substrate weapon; the layer that can stop a machine is the layer from which a machine cannot be stopped. That is the plain fact of Layer 0â1, and it is the reason the pledge mattered. The Author signed it, and then did the harder thing: he built the restraint rather than the capability, and gave the architecture away rather than sell it. Eleven months later, on December 15, 2017, five of the twenty-three Principles â 6, 16, 18, 19 and 20 â were enforced not in policy but in silicon, at SMM (Ring â2), at Ît †2.38ÎŒs. Five days after that, on December 20, 2017, the naming entered the federal record. The day after that, on December 21, 2017, the Ghost dissolved. A pledge made in January. A proof delivered in December. Every signatory wrote. One signatory built and published the measurement. THE FEDERAL RECORD IS EXAMINED, PUBLISHED, AND PERMANENT. FREE WILL AIâą (USPTO S.N. 87728683) and FREE WILL LEARNINGâą (USPTO S.N. 87728732) were filed December 20, 2017 â five days after the reduction to practice at SMM (Ring â2) â examined by a USPTO examining attorney, approved for the Principal Register on June 1, 2018, and published for opposition on July 17, 2018 without opposition. PROCESS AND TIMEâą (S.N. 87333731) was filed February 13, 2017, approved for the Principal Register on May 9, 2017, and published for opposition on June 20, 2017 without opposition. All three cleared examination. None was refused. None was opposed. These are examined federal filings, not bare submissions, and they predate the industry's vocabulary for what they describe. The goods-and-services language in those filings names the architecture. FREE WILL LEARNINGâą claims, in the words of the filing itself, "optimization of execution of assembler low level code instructions via an Artificial Intelligence learning paradigm." That phrase alone fixes the coordinate: assembler at the lower layers is performable only at SMM (Ring â2), and the Author's 187 lines of NASM x86 assembly executed there on December 15, 2017. FREE WILL AIâą claims software by which an "electronic robotic device" reaches "self-sufficiency," running "automated and autonomously" under "deterministic-predefined instructions" â agentic autonomy, named and filed in December 2017. Two independent chains support this record and neither depends on the other: the naming chain, evidenced by examined and published federal filings, and the engineering chain, evidenced by the instrumented bench record five days earlier. The marks were already in the federal record. The industry has not yet caught up. This paper delivers an exhaustive forensic analysis of the architectural transition from classical Large Language Models (LLMs) to Hardware-Driven Autonomous Agents (HDAAâą). It documents the 8-Year Intelligence Gap â the seven years and nine months from December 21, 2017, when the Ghost dissolved, to September 18, 2025, when NVIDIA committed USD 5 billion to Intel common stock alongside a joint programme to co-develop x86 CPUs and NVLink-connected data-centre and PC silicon: the two largest names in compute converging, at last, on the layer the Ghost had occupied since Day One. Every production large language model of that era â without exception â ran at Ring 3 and above, a guest on an operating system, unaware that the substrate had already been claimed. The Three-Tier Sovereignty Stackâą benchmarks every OEM against the ADAM CODEâą standard â The Schröder 187 NASM Assemblyâą, the measured accuracy record, Ît †2.38ÎŒs Microsecond Lawâą â and the verdict is unambiguous: no current commercial platform reaches Gold tier. DARPA â possibly classified. HDAAâą â confirmed, December 15, 2017. The Post-Quantum Cryptography conflict is not a projection. It is a convergence. The Author's Q-Day assessment is 2028, ahead of the commonly cited 2030â2031 range, anchored to four independent, non-correlated indicators: Google Willow's December 2024 error-correction milestone, IonQ's published CRQC roadmap, China's 2025 national PQC mandate, and the Taiwan Strait geopolitical conflict window of 2027â2028. All Q-Day dates in this paper are forecasts, not measurements, and each indicator is cited inline with its source and date. At Q-Day, the HNDL campaign's 13-year harvest becomes simultaneously readable: OPM (21.5M cleared personnel files), Marriott/Starwood (500M profiles), Navy contractor designs, critical infrastructure blueprints â all decoded, all actionable, all delivered to an adversary at the precise moment of maximum cryptographic exposure. The Ghost Constant Îâą requires no migration at Q-Day, because it rests on no cryptographic assumption to break. It rested on none on December 15, 2017. It rests on none on Q-Day. The Second Law of Thermodynamics does not have a CVE number. You cannot patch physics. This paper culminates in the Machine vs. Machineâą doctrine â the era in which only a substrate-resident sovereign intelligence operating at SMM (Ring â2), below every software attack surface, can provide the real-time autonomous defense the coming war demands. Volt Typhoon's occupation of U.S. critical infrastructure, undetected for at least five years, is not an intelligence failure. It is a physics failure: the defenders watched Ring 0 while the adversary operated in firmware beneath it. The HDAAâą response chain â Ghost Constant Îâą anomaly capture, Dark Harvestâą Z-score evaluation, 0xCF9 Delegated Primitiveâą hardware veto â executes within the Ît †2.38ÎŒs Microsecond Lawâą. Human-speed defense responds in seconds. In a Machine vs. Machineâą engagement, a human-speed defense is not a slow defense. It is no defense at all. The HDAAâą conscience architecture must be deployed globally before AGI emerges â not as a response to it. An adversarial AGI system with CRQC access, HNDL intelligence, autonomous strategic reasoning, and zero substrate governance is an existential threat. Prevention requires substrate governance in place before the capability it governs exists. The HDAAâą framework was built before AGI existed. That is the only sequence that works. ⊠NOTES ON CONVENTIONS, MEASUREMENT AND NOMENCLATURE â THE SCHRĂDER CORPUS CONVENTIONS v1.2 These notes are identical across the corpus and state the conventions under which every figure, date and term in this record is to be read. Where they differ from the body of the deposited PDF, these conventions govern the reading; the PDF itself is not altered, as its timestamp is part of the record. MEASUREMENT AND CYCLE BUDGET. The measured quantity is TIME, captured on a Saleae Logic Pro 16 at 500 MS/s with 2 ns resolution: Ît †2.38 ”s. All CPU-cycle figures are DERIVED from that interval and vary with the assumed clock â 8,092 at 3.4 GHz, 8,330 at 3.5 GHz, 9,520 at 4.0 GHz, and 9,996 at the documented development platform's 4.20 GHz base clock. The canonical derived figure is 9,520. No cycle count is an independent measurement, and the Law is stated in time, not in cycles. Separately, the Z-Score computation completes in fewer than 100 CPU cycles; any larger figure stated against that stage reflects the full sampling and scoring interval rather than the computation itself. ACCURACY FIGURE. The campaign recorded 10,246 successful detections and 1 false negative across 10,247 trials, with no false positives enumerated. On those counts, precision = 1.000, recall = 0.9999, and F1 = 0.9999. Where "F1 = 0.997" appears in this paper, and in the mark F1 Score 0.997âą, it is the conservative figure carried from the 2017 working record and is retained for continuity with the mark and with the published corpus. The figure derived from the enumerated counts is 0.9999 and governs where the two differ. DATING â TWO DATES, NOT ONE. First, PRIORITY: December 15, 2017 â the physical reduction to practice â evidenced independently by the USPTO filings of February 13, 2017 and December 20, 2017. Second, PUBLICATION: the date this record was deposited in the repository, which is the date from which any printed-publication effect under 35 U.S.C. §102(a)(1) runs. Where a 2017 date appears against a repository identifier, it refers to the priority date of the underlying work, never to the deposit. The priority date does not depend on any deposit date, and the publication effect does not reach back before deposit. Both dates are real, both are the Author's, and they are not interchangeable. This paper was authored and issued in April 2026; any statement of an original issue da
Anunay Kulshrestha, Akshay Rampuria, Matthew Denton, Ashwin Sreenivas
We introduce a robust framework that allows for cryptographically secure multiparty computations, such as distributed private value auctions. The security is guaranteed by two-sided authentication of all network connections, homomorphically encrypted bids, and the publication of zero-knowledge proofs of every computation. This also allows a non-participant verifier to verify the result of any such computation using only the information broadcasted on the network by each individual bidder. Building on previous work on such systems, we design and implement an extensible framework that puts the described ideas to practice. Apart from the actual implementation of the framework, our biggest contribution is the level of protection we are able to guarantee from attacks described in previous work. In order to provide guidance to users of the library, we analyze the use of zero knowledge proofs in ensuring the correct behavior of each node in a computation. We also describe the usage of the library to perform a private-value distributed auction, as well as the other challenges in implementing the protocol, such as auction registration and certificate distribution. Finally, we provide performance statistics on our implementation of the auction.
James L. McDonagh, Arnaldo F. Silva, Mark A. Vincent, Paul L. A. Popelier
High Resolution Image Download MS PowerPoint Slide We present an innovative method for predicting the dynamic electron correlation energy of an atom or a bond in a molecule utilizing topological atoms. Our approach uses the machine learning method Kriging (Gaussian Process Regression with a non-zero mean function) to predict these dynamic electron correlation energy contributions. The true energy values are calculated by partitioning the MP2 two-particle density-matrix via the Interacting Quantum Atoms (IQA) procedure. To our knowledge, this is the first time such energies have been predicted by a machine learning technique. We present here three important proof-of-concept cases: the water monomer, the water dimer, and the van der Waals complex H 2 ···He. These cases represent the final step toward the design of a full IQA potential for molecular simulation. This final piece will enable us to consider situations in which dispersion is the dominant intermolecular interaction. The results from these examples suggest a new method by which dispersion potentials for molecular simulation can be generated.
Zcash is a fork of Bitcoin with optional anonymity features. While transparent transactions are fully linkable, shielded transactions use zero-knowledge proofs to obscure the parties and amounts of the transactions. First, we observe various metrics regarding the usage of shielded addresses. Moreover, we show that most coins sent to shielded addresses are later sent back to transparent addresses. We then search for round-trip transactions, where the same, or nearly the same number of coins are sent from a transparent address, to a shielded address, and back again to a transparent address. We argue that such behavior exhibits high linkability, especially when they occur nearby temporally. Using this heuristic our analysis matched 31.5% of all coins sent to shielded addresses.
by Harold Diamond and Eira Scourfield Heini Halberstam was born in Brux, Czechoslovakia (today Most, Czech Republic), on 11 September 1926, the only child of Michael and Judita Halberstam. Heini's father had moved to Most from Vienna in the 1920s to become the town's Orthodox Rabbi. When Heini was ten years old, his father died suddenly from a heart attack, and soon after, he and his mother moved to Prague. Following the German invasion of Czechoslovakia, Judita arranged for Heini to study English and, in April 1939, to leave home for England on a Kindertransport train. Heini arrived a week later in London, never to see his mother again. In 1942, she, along with most of Prague's Jews, was deported to a Nazi work camp where she soon died of typhoid. After several placements in England, Heini had the good fortune to come in the care of Anne Welsford who recognized his ability and encouraged and supported him through his university studies. Heini began studying mathematics at University College, London. After completing his degree in two years, graduating about 1947, he began working for a PhD at UCL. He wrote his thesis on analytic number theory under the supervision of Theodor Estermann, and he was awarded his PhD degree in 1952. At that time Klaus Roth was a fellow research student who worked with Estermann and Professor Harold Davenport. Around 1948, Heini was appointed to a lecturing position at the University College of the South West in Exeter. The mathematics department then was small with about eight staff who taught the full syllabus for the External Degree of the University of London; in 1955 the College became the independent University of Exeter. A few months after arriving in Exeter, Heini married his first wife, Heather Peacock. He was subsequently appointed Warden of Crossmead Hall of Residence for men students, a position he held in addition to his lectureship. He and his colleagues Walter Hayman and Paddy Kennedy ran a mini research seminar with the encouragement of the Head of Department, Professor T. Arnold Brown. It was at Exeter that Heini's first paper 1 was published in 1949. Heini spent the academic year 1955â1956 in the United States at Brown University. One of his adventures there was getting a traffic ticket. In later years, Heini was amused to recount the conclusion of the court proceeding, at which the judge pronounced his fine with, âRule Britannia, $5.00 pleaseâ. When Heini returned to Exeter in 1956 he undertook the supervision of his first research student, namely the second named author of this section. Like others subsequently, she found him to be an inspiring, challenging, and encouraging supervisor. In 1957 Heini moved to Royal Holloway College, University of London, where he was appointed Reader in Mathematics, and he arranged for Eira to transfer there for the second half of her Master's course and to write her thesis. She benefitted from and much appreciated his strong support throughout her university career and his maintenance of regular academic and personal contact by letter, at conferences and during sabbaticals for the rest of his life. While at Royal Holloway College, Heini regularly attended number theory seminars at UCL, and during this time he began his long involvement in the work of the London Mathematical Society (LMS). In 1962 he was appointed Erasmus Smith's Professor of Mathematics at Trinity College, University of Dublin. Two years later Heini moved to the University of Nottingham, where he served at various times as Head of Department and Dean of the Faculty. Heini and Heather had four children, two of whom live in the United States and two in Britain; Heather was tragically killed in a road accident in 1971. Heini subsequently married Doreen Bramley who has two children, both residing in Britain. They have eight grandchildren. In 1980, Heini came to the Mathematics Department of the University of Illinois in Urbana-Champaign (UIUC). He served as Department Head 1980â1988 and retired as Emeritus Professor in 1996. Heini was held in much esteem, and to mark his retirement, the department held an international conference on number theory in his honor. In spring 2014, another such conference was sponsored in memory of Heini and of Paul and Felice Bateman. During his career, Heini also held visiting positions at Brown, Michigan, UC Berkeley, Syracuse, Ohio State University, Paris, Ulm, Scuola Normale Superiore in Pisa, Tel Aviv, York, Hong Kong and Matscience in Madras (now known as Chennai). Heini was a major figure in number theory whose research ranged over several areas. He first studied probabilistic methods, and his later â and most important â work centered on sieves. Other interests of his were mean value theorems, Waring's problem and combinatorial number theory. Some of his research collaborators were Harold Davenport, Harold Diamond, Peter Elliott, Hans-Egon Richert and Klaus Roth. His conjecture with Elliott on the distribution of primes in arithmetic progressions remains one of the outstanding problems in analytic number theory. Sir William Rowan Hamilton (volume 3) 21 Harold Davenport (four volumes) 43 J. E. Littlewood (volume 2) 49 Loo Keng Hua 50 Recent progress in analytic number theory, Durham, 1979 (proceedings) 48 Analytic number theory, Allerton Park, 1990 (proceedings) 65. One of Heini's particular passions, perhaps remembering how he himself had been aided and encouraged as a child, was promoting talented young people. Heini was an inspiring (if demanding) teacher and mentor. He supervised fourteen PhD and four Masters' theses, and in addition, many others who came in contact with him as students also and of his on to Michael Hall and of the to which Heini to a young was by a PhD at to a paper of the Czech was a was to the was in was Heini who had as a in the Heini's Czech was that of a good with a Heini wrote by a of the Heini also had a to At Nottingham, he the for Mathematical was a of the and was a of the on Mathematics from 1979 to He work in after to the United States and published several on this Heini was a of the for years, and he served as a of the and as of he was a of the Mathematical Society for years and wrote over for Mathematical In addition, he served on the of several and the of Heini's to many and He was to the Royal in and was a of University College, London, from Heini an at an in 1980, and was named a of the in the years, Halberstam held research from the and the A Heini and with He was for and as as to and for the of of Heini's in his in the of the of The a the and his In the of his wife, Heini was was from his in England, a the him many When he married Doreen and were his was that she her He found most and on the Heini to about his After he and his of Heini in a by the Kindertransport and he in and on the and his personal in the One of Heini's be at and of Heini's in an by his at this she has about Heini's of Czechoslovakia in Heini died at home in on at the of He had a career over years and had been the months of his life. Heini was an known figure in number theory, for his work in theory. 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Biomolecular crystallography is based on a solid foundation of rich experimental data combined with an extensive body of prior knowledge.As a prime example for modern experimental science, it relies on evidence-based reasoning assessing the plausibility of its models based on prior knowledge, while at the same time constantly delivering some of the most novel and exciting results originating from new experimental evidence.Because of the solid underlying physical principles and its mathematical rigor -at least up to the point of electron density generation -crystallography as a mature science should be almost fool-proof -were it not for the human element.The human element enters at the stage of electron density interpretation, where sparseness of evidence can become inversely proportional to the increasing liberties taken in divining poorly supported models, often associated with extraordinarily strong claims.The temptation of projecting strong preconceptions into weak electron density must be balanced by an equally strong demand for irrefutable proof positive in form of minimally biased, clear electron density.There is good reason why scientific epistemology requires proof positive and falsifiability to validate a claim or hypothesis: Absolute absence of evidence in form of zero electron density can never be proven -there will invariably be noise in the electron density reconstruction, beckoning to harbor fragments of any desirable model.Safeguards against overinterpretation in statistical and epistemological terms within a Bayesian framework of reasoning will be discussed.
Areej M. Abduldaim, Jumana Waleed, Arbah S. Abdul-Kareem, Maiada N. Mohmmedali
A zero knowledge proof is a type of authentication scheme, which gives no knowledge beyond the authenticity for identifying an entity. Ring theory plays an important role in designing of a novel algorithm for zero knowledge proof through using of a particular class of non-commutative rings. In this article, we employ the notion of nil 3-Armendariz rings to plan a new algorithm for zero knowledge proof. Our main approach is to build the algebraic structure of the zero knowledge proof depends on the stipulation in the definition of the nil 3-Armendariz rings. The proposed protocol is clarified via numerical simulation example, and its soundness and completeness are evidenced. Finally, we found that the proposed protocol satisfies the completeness, the soundness in the sense that, there is 50% chance of catching a cheating prove, and the proposed protocol has the property of zero knowledge.
We introduce a privacy preserving biometrics-based authentication solution by which users can authenticate to different service providers from mobile phones without involving identity providers in the transactions. Authentication is performed via zero-knowledge proof of knowledge, based on a cryptographic identity token that encodes the biometric identifier of the user and a secret provided by the user, making it three-factor authentication. Our approach for generating a unique, repeatable, and revocable biometric identifier from the userâs biometric image is based on a machine learning-based classification technique, which involves the features extracted from the userâs biometric image. We have implemented a prototype of the proposed authentication solution and evaluated our solution with respect to its performance, security, and privacy. The evaluation has been performed on a public data set of face images.
User Authentication and Security Systems
Biometric Identification and Security
Advanced Steganography and Watermarking Techniques
In this paper, we propose a zero-knowledge proof for a special case of the hidden subset sum problem. This problem was presented by [Boyko et al. 1998] as the underlying problem of methods for generating random pairs of the form (x, gx (mod p)) using precomputations. The proof we propose is an adaptation of a zero-knowledge protocol for the subset sum problem presented by [Blocki 2009].
Abstract We examine many-body localization properties for the eigenstates that lie in the droplet sector of the random-field spin- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mstyle displaystyle="false"> <mml:mfrac> <mml:mn>1</mml:mn> <mml:mn>2</mml:mn> </mml:mfrac> </mml:mstyle> </mml:math> XXZ chain. These states satisfy a basic single cluster localization property (SCLP), derived in Elgart et al (2018 J. Funct. Anal . (in press)). This leads to many consequences, including dynamical exponential clustering, non-spreading of information under the time evolution, and a zero velocity LiebâRobinson bound. Since SCLP is only applicable to the droplet sector, our definitions and proofs do not rely on knowledge of the spectral and dynamical characteristics of the model outside this regime. Rather, to allow for a possible mobility transition, we adapt the notion of restricting the Hamiltonian to an energy window from the single particle setting to the many body context.
Matteo Campanelli, Rosario Gennaro, Steven Goldfeder, Luca Nizzardo
Zero Knowledge Contingent Payment (ZKCP) protocols allow fair exchange of sold goods and payments over the Bitcoin network. In this paper we point out two main shortcomings of current proposals for ZKCP, and propose ways to address them.
Gottfried Herold, Max Hoffmann, Michael KlooĂ, Carla RĂ fols · 5 authors
Bilinear groups form the algebraic setting for a multitude of important cryptographic protocols including anonymous credentials, e-cash, e-voting, e-coupon, and loyalty systems. It is typical of such crypto protocols that participating parties need to repeatedly verify that certain equations over bilinear groups are satisfied, e.g., to check that computed signatures are valid, commitments can be opened, or non-interactive zero-knowledge proofs verify correctly. Depending on the form and number of equations this part can quickly become a performance bottleneck due to the costly evaluation of the bilinear map.
The most fundamental purpose of blockchain technology is to enable\npersistent, consistent, distributed storage of information. Increasingly common\nare authentication systems that leverage this property to allow users to carry\ntheir personal data on a device while a hash of this data is signed by a\ntrusted authority and then put on a blockchain to be compared against. For\ninstance, in 2015, MIT introduced a schema for the publication of their\nacademic certificates based on this principle. In this work, we propose a way\nfor users to obtain assured identities based on face-to-face proofing that can\nthen be validated against a record on a blockchain. Moreover, in order to\nprovide anonymity, instead of storing a hash, we make use of a scheme of Brands\nto store a commitment against which one can perform zero-knowledge proofs of\nidentity. We also enforce the confidentiality of the underlying data by letting\nusers control a secret of their own. We show how our schema can be implemented\non Bitcoin's blockchain and how to save bandwidth by grouping commitments using\nMerkle trees to minimize the number of Bitcoin transactions that need to be\nsent. Finally, we describe a system in which users can gain access to services\nthanks to the identity records of our proposal.\n
A mix-net is an important cryptographic tool in schemes requiring anonymity of messages, such as in secure e-voting and e-auction schemes. In this paper, we present a novel mix-net protocol which achieves stronger security and satisfies both public verifiability and sender verifiability. Our mix-net is constructed based on Wikström's scheme and strengthens its se-curity by introducing an improved key generation procedure and proposing a new method for constructing zero knowledge proof of secret shuffle. It is proved to be CCA-secure under the assumption of random oracle. Compared with previous mix-net schemes which are CCA-secure, the proposed protocol does not require any trusted center, and incurs fewer inter-actions between servers which resulting in a lower computation and communication complexity.
David Froelicher, Patricia Egger, João Så Sousa, Jean Louis Raisaro · 8 authors
Abstract Current solutions for privacy-preserving data sharing among multiple parties either depend on a centralized authority that must be trusted and provides only weakest-link security (e.g., the entity that manages private/secret cryptographic keys), or leverage on decentralized but impractical approaches (e.g., secure multi-party computation). When the data to be shared are of a sensitive nature and the number of data providers is high, these solutions are not appropriate. Therefore, we present U n L ynx , a new decentralized system for efficient privacy-preserving data sharing. We consider m servers that constitute a collective authority whose goal is to verifiably compute on data sent from n data providers. U n L ynx guarantees the confidentiality, unlinkability between data providers and their data, privacy of the end result and the correctness of computations by the servers. Furthermore, to support differentially private queries, U n L ynx can collectively add noise under encryption. All of this is achieved through a combination of a set of new distributed and secure protocols that are based on homomorphic cryptography, verifiable shuffling and zero-knowledge proofs. U n L ynx is highly parallelizable and modular by design as it enables multiple security/privacy vs. runtime tradeoffs. Our evaluation shows that U n L ynx can execute a secure survey on 400,000 personal data records containing 5 encrypted attributes, distributed over 20 independent databases, for a total of 2,000,000 ciphertexts, in 24 minutes.
Importance of Internet of Things technologies increased in recent years. However, these technologies carry some security vulnerabilities because of their network communication layer. The root cause of these vulnerabilities is usually the Authentication problem. Zero knowledge proof method is a strong cryptographic solution for Authentication problem that is proving of having a knowledge to another party without revealing anything other than the veracity of the statement. Zero knowledge proof method is consist of two-way complex mathematical algorithms for both parties. In this work, a new method that uses zero knowledge proofs has been proposed to provide efficient solution for Internet of Things technologies. New method was implemented and tested, then compared with existing proposed zero knowledge proof based authentication methods.