Follow blockchain research across journals, conferences, and preprint repositories.
2,611 results · page 62 of 109
B. Sriman, Sushil Kumar
No abstract is available for this record.
Simin Ghesmati, Walid Fdhila, Edgar Weippl
No abstract is available for this record.
Przemysław Rodwald
No abstract is available for this record.
Ibrahim Aliyu, Marco Carlo Feliciano, Sélinde van Engelenburg, Dong Ok Kim · 5 authors
In-vehicle communication systems are usually managed by controller area networks (CAN). By broadcasting packets to their bus, the CAN facilitates the interaction between Electronic Control Units (ECU) that coordinate, monitor and control internal vehicle components. With no authentication mechanism for identifying the legitimacy and source of packets, CAN are vulnerable to cyber-attacks. An Intrusion Detection System (IDS) can detect attacks on CAN and machine learning can be used to create the models for the IDSs to detect non-linear attack patterns. However, car manufacturers and owners might want to keep the sensitive information required for training the models confidential. Therefore, we proposed a Blockchain-based Federated Forest Software-Defined Networking (SDN)-enabled IDS (BFF-IDS) to address the problem of data sharing the sensitive CAN data. To ensure scalability, we used InterPlanetary File System (IPFS) to host the models, and the blockchain is designed to store only a hash of the model and a pointer to its location. The SDN provides the dynamic routing of packets and model exchanges. We used Federated Learning (FL) to create a random forest model. Individuals provide partially trained models, allowing them to keep the underlying data confidential. Using Fourier transform, we decomposed the CAN IDs cycle from CAN bus traffic in the frequency domain for better generalization in multiclass detection of attacks. Multiple statistical and entropy features were extracted to handle the high complexity and non-linearity in CAN bus traffic. The proposed system allows manufacturers and car owners to contribute to the training of the models, as their sensitive data is protected. By storing hashes of the models on a blockchain, the risk of adversaries poisoning the models is reduced and a single point of failure is avoided. We evaluated the proposed system by conducting experiments on a testbed. We found that the proposed system has efficient use of memory and CPU resources and that the detection rate of closely related attacks was high. We recorded the highest model attack detection rate of about 0.981.
Michał Pawlak, Aneta Poniszewska-Marańda
No abstract is available for this record.
Yang Yang, Zhangshuang Guan, Zhiguo Wan, Jian Weng · 6 authors
Election and voting play crucial roles in democratic society for an elactorate to make a collective decision. E-voting is one of the most challenging problems in cryptographic research to provide multiple dimensions security assurances. In this paper, we study an important voting paradigm, score voting, with privacy protection, which has not been investigated in previous work. We propose a blockchain based self-tallying election system to support score voting, dubbed “PriScore”, where the ballots are recorded on blockchain to prevent vote forgery or tampering. PriScore makes it possible for each voter to assign different evaluation scores (within a certain range) for the candidates as ranked-choice, where the sum of the scores in each ballot should be a predefined constant, and the evaluation scores are encrypted to maintain confidentiality. A major challenge in score voting is to simultaneously prove two constraint conditions: range proof and sum proof. We introduce a new technique, called dual zero-knowledge proof (dual-ZKP), to prove the scores satisfying two crucial requirements, which integrates “1-out-of-$K$” proof and distributed ElGamal crypto in a non-trivial way. The self-tallying mechanism in PriScore enables any party in the system to calculate and verify the election result, which provides fairness, dispute-freeness. The security analysis demonstrates that PriScore achieves completeness, soundness, eligibility, universal/individual verifiability and multiple-voting detection. We evaluate the performance of PriScore on modern workbench to test the performance, and also on a blockchain platform to measure the resource consumption. The experiments show that PriScore preserves privacy of score voting with reasonable overheads.
Aritra Banerjee
The idea of smart contracts has been around for a long time. The introduction of Ethereum has taken the concept of smart contracts to new heights because of its integration with Blockchain technology. As a result, the applications of smart contracts have also surged in areas such as e-Voting, Insurance, Crowdfunding, etc. In this paper, we aim to present the construction of a “Fully Anonymous e-Voting” protocol using the concepts of zkHawk and Zcash. zkHawk is a novel smart contract protocol designed during this Ph.D. that improves upon the Hawk protocol by solving the underlying anonymity problem of a trusted manager. We will leverage the concept of zk-SNARKs in Zcash to carry out the voting phase of the election and the zkHawk smart contract protocol to tally the results of the election. The voting phase employing Zcash will be initially designed with Non-Universal zk-SNARKs and improved upon with Universal zk-SNARKs.
Saurav Gupta, C R Manjunath
For long, different e-voting systems have been provided with the goal of increasing security and minimizing cost. Blockchain is a major breakthrough in the technological industry that provide immense secured platform. With the launch of Ethereum, a decentralized platform which runs decentralized applications (DApps) on it, a secured voting system now seems possible. Many organizations have now shifted their focus on voting through blockchain platforms. There’s a very high chance that a normal voting method won’t lead to a clear majority. There can be many ways to deal with this issue which includes another voting process to take place which can be quite expensive in terms of time and resources. In our paper, we introduce the vote-trading concept where the votes can be redistributed to other candidates in case if there is no clear majority and also this ‘ majority’ factor can be set by the organization according to their requirement. We discuss the design for the blockchain based preferential e-voting system using the Solidity programming language where instead of one vote per candidate, we provide the concept of giving preference to the candidates.
Robert Muth, Florian Tschorsch
No abstract is available for this record.
Aljosha Judmayer, Nicholas Stifter, Alexei Zamyatin, Itay Tsabary · 8 authors
No abstract is available for this record.
Vadim Lyubashevsky, Ngoc Khanh Nguyen, Gregor Seiler
In a set membership proof, the public information consists of a set of elements and a commitment. The prover then produces a zero-knowledge proof showing that the commitment is indeed to some element from the set. This primitive is closely related to concepts like ring signatures and “one-out-of-many” proofs that underlie many anonymity and privacy protocols. The main result of this work is a new succinct lattice-based set membership proof whose size is logarithmic in the size of the set.
Thomas Haines, Johannes Müller
No abstract is available for this record.
Wei Xia, Zhenzhen Li, Zhen Li, Gang Xiong · 5 authors
No abstract is available for this record.
Meng Shen, Jinpeng Zhang, Liehuang Zhu, Ke Xu · 5 authors
Decentralized Applications (DApps) are increasingly developed and deployed on blockchain platforms such as Ethereum. DApp fingerprinting can identify users' visits to specific DApps by analyzing the resulting network traffic, revealing much sensitive information about the users, such as their real identities, financial conditions and religious or political preferences. DApps deployed on the same platform usually adopt the same communication interface and similar traffic encryption settings, making the resulting traffic less discriminative. Existing encrypted traffic classification methods either require hand-crafted and fine-tuning features or suffer from low accuracy. It remains a challenging task to conduct DApp fingerprinting in an accurate and efficient way. In this paper, we present GraphDApp, a novel DApp fingerprinting method using Graph Neural Networks (GNNs). We propose a graph structure named Traffic Interaction Graph (TIG) as an information-rich representation of encrypted DApp flows, which implicitly reserves multiple dimensional features in bidirectional client-server interactions. Using TIG, we turn DApp fingerprinting into a graph classification problem and design a powerful GNN-based classifier. We collect real-world traffic datasets from 1,300 DApps with more than 169,000 flows. The experimental results show that GraphDApp is superior to the other state-of-the-art methods in terms of classification accuracy in both closed- and open-world scenarios. In addition, GraphDApp maintains its high accuracy when being applied to the traditional mobile application classification.
Ashish Sharma, Chavikant, Takshi Singh, Tushar Aggarwal · 6 authors
In recent years, the use of the internet to vote has become popular and several governments in Europe and worldwide are intending to experiment with it. Online voting is becoming more popular in today’s culture. Many people are currently benefiting from cold digital technologies. Unlike the election system, it makes far more frequent use of paper. A standard (offline) method poses a security and transparency risk to popular elections. National elections are still centralized, with only one political party in authority. One of the main issues with traditional election systems is the organization that has complete control over the website and system, which might disrupt the database of many opportunities. Because we accept a separate system and the complete database is handled by many people, blockchain technology is one of the answers. The blockchain technology has been employed in a Bitcoin system called as a separate Bank. One of the most fraudulent sources on a website can be reduced by using a blockchain in the distribution of information on electronic voting systems. This research examines the use of a blockchain algorithm to record vote results at all polling sites. It’s no longer necessary to print ballot sheets or open polling stations. The goal of this research is to look into the use of blockchain as an electronic voting mechanism.In this paper, an e-trust voting system is divided into blockchain. The classification system means that the calculation depends on the blockchain segmentation. The voter does not have to trust the election administration in an unreliable system, and the trust is divided among all voters. The entire protocol affects system accuracy. Furthermore, all voters will have cryptographic assurance that their privacy will be safeguarded. The article covers the needs for developing electronic voting systems and identifies legal and technical barriers to employing blockchain as a monitoring service for such systems.
Simin Ghesmati, Walid Fdhila, Edgar Weippl
The Bitcoin blockchain was the first publicly verifiable, and distributed ledger, where it is possible for everyone to download and check the full history of all data records from the genesis block. These properties lead to the emergence of new types of applications and the redesign of traditional systems that no longer respond to current business needs (e.g., transparency, protection against censorship, decentralization). One particular application is the use of blockchain technology to enable decentralized and self-sovereign identities including new mechanisms for creating, resolving, and revoking them. The public availability of data records has, in turn, paved the way for new kinds of attacks that combine sophisticated heuristics with auxiliary information to compromise users’ privacy and deanonymize their identities. In this paper, we review and categorize Bitcoin privacy attacks, investigate their impact on one of the Bitcoin-based identity methods namely did:btcr, and analyze and discuss its privacy properties.
Anatoly Konkin, Sergey Zapechnikov
Nowadays distributed ledger technology or blockchain is widely used in the corporate sector for various industries. Although implementation issues (coding practice, lack of capabilities, etc.) are not among the major barriers for the technology adaption, there are still some informational security challenges to adjust and scale blockchain networks for corporate usage. One of them is to provide functionality for private transactions stored in a blockchain. Some methods including mix networks, ring signatures, and off-chain protocols were applied to meet the privacy requirements. However, these methods have some limitations associated with the key blockchain characteristics such as decentralized storing system and immutability verification of private data. This article examines zero-knowledge proof (ZKP) methods for corporate blockchain networks. The article provides the review of existing methods for private transactions, discovers the implementation of ZKP methods, also performance and scalability issues are discussed.
Maria Apostolaki, Cedric Maire, Laurent Vanbever
No abstract is available for this record.
Rohit Saxena, Deepak Arora, Vishal Nagar, Satyasundara Mahapatra
No abstract is available for this record.
Geetanjali Rathee, Razi Iqbal, Omer Waqar, Ali Kashif Bashir
A smart city refers to an intelligent environment obtained by deploying all available resources and recent technologies in a coordinated and smart manner. Intelligent sensors (Internet of Things (IoT) devices) along with 5G technology working mutually are steadily becoming more pervasive and accomplish users' desires more effectively. Among a variety of IoT use cases, e-voting is a considerable application of IoT that relegates it to the next phase in the growth of technologies related to smart cities. In conventional applications, all the devices are often assumed to be cooperative and trusted. However, in practice, devices may be disrupted by the intruders to behave maliciously with the aim of degradation of the network services. Therefore, the privacy and security flaws in the e-voting systems in particular lead to a huge problem where intruders may perform a number of frauds for rigging the polls. Thus, the potential challenge is to distinguish the legitimate IoT devices from the malicious ones by computing their trust values through social optimizer in order to establish a legitimate communication environment. Further, in order to prevent from future modifications of data captured by smart devices, a Blockchain is maintained where blocks of all legitimate IoT devices are recorded. This article has introduced a secure and transparent e-voting mechanism through IoT devices using Blockchain technology with the aim of detecting and resolving the various threats caused by an intruder at various levels. Further, in order to validate the proposed mechanism, it is analyzed against various security parameters such as message alteration, Denial of Service (DoS) and Distributed Denial of Service (DDoS) attack and authentication delay.
Dionysis Xenakis, Anastasia Tsiota, Christos-Thrasyvoulos Koulis, Christos Xenakis · 5 authors
The new “status quo” created by the emerging integration of Multi-Access Edge Computing (MEC) and Radio Access Network (RAN) infrastructures, combined with the openness of the 5G service market, have set new standards on how the multitude of 5G service domains should be incentivized and coordinated to comply with the performance requirements set on a per session basis. In this paper, we revisit the predominant offline contract-driven mobile data access model enabling users to gain access to the infrastructure of only a few network operators and propose a new blockchain-backed mobile data access model where the key 5G stakeholders can trade, share and consume mobile edge network assets (access to the internet, spectrum, processing, storage, local content etc.) in a fully decentralized, anonymous and highly-robust fashion. Blockchain-backed mobile data access should address critical practical challenges of blockchain decentralization, scalability and security in the context of 5G and Beyond networks. Accordingly, we provide a meticulous survey of existing solutions in the aforementioned three areas and present a comprehensive holistic framework of protocols to address the key challenges identified, including a delegated Proof-of-Stake (DPoS) for distributed blockchain consensus over 5G and Beyond mobile data networks, a future-proof smart-contract enabled payment relay service enabling instant off-chain payments in a highly robust fashion as well as a hybrid mixing protocol that enables payment relays to act as anonymous payment hubs while addressing the unique challenges opposed by the joint blockchain and network level interaction of the 5G and Beyond service components. A wide range of practical implications and mitigation measures for dishonest operation of the blockchain nodes are investigated and sophisticated yet highly-robust incentive engineering mechanisms are derived. Detailed numerical results also accompany the paper, bringing to light the unique performance trade-offs and valuable design guidelines towards blockchain-backed mobile data access for 5G and Beyond mobile data networks.
N. Banupriya, G. Pooja, S. Nevetha, J. Roopini · 5 authors
In the expeditiously advancing technological world, with the advent of IoT and big data, every day new people and devices which store highly sensitive personal data are getting connected. For instance, your Google home is listening to you and collecting data, your Facebook knows a lot about you; Amazon's Alexa gets to know our everyday wants. This implies that our data is used to spy on us for advertising purposes, hence these siren servers make the overall profit off us. This paper throws light on developing a dApp (decentralised application) that could be used in a voting system. Everything around us is digitising which does not mean we are moving towards a safe and secured scheme, thus the revolutionary Blockchain technology is used to deploy an e-voting system (Giorgino, 2018) and this is done using the Ethereum Blockchain (Wang et al., 2018).
Arash Mirzaei, Amin Sakzad, Jiangshan Yu, Ron Steinfeld
No abstract is available for this record.
Nadia Pocher, Andreas Veneris
Central banks and governments all over the world are increasingly exploring digital versions of fiat money, known as retail Central Bank Digital Currencies (CBDCs). Most initiatives rely on Distributed Ledger Technologies and are presented as alternatives to physical cash. Consequently, anonymity-related regulatory questions have naturally started to arise in terms of Anti-Money Laundering and Counter-Terrorist Financing compliance. Against this backdrop, this paper provides a techno-legal taxonomy of approaches to balance privacy and transparency in CBDCs without thwarting accountability, but it also underlines cross-sectoral impacts. The contribution heeds regulation-by-design as its core methodological foundation, with Privacy-Enhancing Technologies as the relevant use case. Thus, it highlights that not only technology aids legal purposes, but also that some regulatory requirements ought to be designed into technology for one to reach agreed-upon results and/or standards.