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96,040 results · page 269 of 4,002
Nafiz Eashrak, Mohammad Ikbal Hossain, Md. Omum Siddique Auyon, Abdullah Al Adnan
No abstract is available for this record.
Sweta Kahurke, Harsha Jain, Shifra Sheikh, Srushti Pillare · 5 authors
Decentralized finance (DeFi) platforms have experienced a rapid increase in fraudulent activities such as price manipulation, wash trading, and anomalous transaction behavior, while traditional centralized fraud detection methods remain unsuitable due to privacy and regulatory constraints. This study proposes a privacy-preserving fraud detection framework using federated learning, enabling multiple decentralized entities to collaboratively train a machine learning model without sharing raw transaction data. A real-world decentralized exchange (DEX) dataset containing over 100,000 transactions is preprocessed and enhanced through feature engineering techniques capturing swap rate deviations, transaction volume anomalies, and temporal patterns. In the absence of labeled fraud data, a heuristic-based labeling approach is employed to simulate realistic fraud scenarios. A Logistic Regression model is trained across multiple distributed client nodes, with model parameters aggregated using the Federated Averaging (FedAvg) algorithm over several communication rounds. The experimental findings show that the federated model delivers results similar to centralized methods while preserving data privacy, proving it to be an efficient solution for secure and scalable fraud detection in decentralized financial environments.
Andreas Park
No abstract is available for this record.
Mahdiyeh Barzegar, Hamid Reza Barzegar, Nabil El Ioini, Claus Pahl
No abstract is available for this record.
Alimul Ghani
No abstract is available for this record.
Alistair Milne
No abstract is available for this record.
Damiano Di Francesco Maesa, Francesco Donini, Paolo Mori, Laura Ricci
No abstract is available for this record.
Jiazhen Gan, Qihao Yuan, Neng Zhang, Zigui Jiang · 5 authors
No abstract is available for this record.
C. M. Nalayini, V. Sathya, M. Harshini, S. Swathi
No abstract is available for this record.
Richard Hanna Beainy, Cesar Kamel
No abstract is available for this record.
Fernando Mori
No abstract is available for this record.
xuezhi cheng
Abstract Grounded in a hard-core perspective at the intersection of thermodynamics and information theory, this paper strips away the symbolic illusions of traditional political economy, redefining human society as an active, viscoelastic "colloidal fluid" dissipative structure driven by external energy throughput and the fundamental "time ledgers" of carbon-based individuals. Moving beyond monetary and financial fictions, the framework establishes the Dual Constraint Equations of Civilizational Survival: The Upper Limit Constraint Equation, which maps the physiological and physical time limits imposed on carbon-based components by the combined demands of innovative labor, unmechanized repetitive labor, and exponential administrative/game-theoretic complexity overhead ; and The Lower Limit Maintenance Equation, which dictates the non-negotiable minimum energy baseline required to prevent system disintegration. Using this apparatus, the work diagnoses two terminal pathologies plaguing modern advanced societies: Mechanization Blockade Disease (where stalled technological evolution forces human flesh to brute-force unmechanized repetitive labor, triggering population cliffs) and Complexity Parasitism (where skyrocketing administrative and defensive friction devours society's scarce innovative brainpower). The classical scholar Gu Yanwu once distinguished between the "fall of a state" (wangguo) and the "collapse of all-under-heaven" (wang tianxia)—the former representing the mere succession of ruling algorithms, and the latter the disintegration of a civilization's high-order negative entropy system. Examining the present, the global sphere is deeply mired in the quagmire of AI algorithm bubbles and capital centralization; from Asia, Africa, and Latin America to Europe and the Americas, state will is reasserting comprehensive control over physical resources. History and the laws of physics indicate that even though technological bubbles will ultimately burst, and even though centralized control will cause internal friction and complexity overhead to expand exponentially, we must still hope that this represents merely a transient system damping in the long river of history. For the Second Law of Thermodynamics has long delivered its ultimate verdict: without free physical sampling and distributed trial-and-error, human civilization will inevitably descend into absolute information dead silence. This theory may well transcend its era. Humanity remains trapped in the illusions of gold and fiat currency vouchers, unable as yet to embrace a true "Entropy Standard." Yet, a day will come when civilization is anchored upon the physical ledger of entropy-based accounting, and humanity will no longer rely on crude "combustion and explosions" to enact its achievements, but will instead drive grand phase transitions via minute energy leaps. So long as civilization's informational genes are not swallowed by entropy increase, the myth will endure across the starry seas of the universe.
Ashish Kumar, Kakali Chatterjee, Ashish Singh, Abhinav Kumar
Consumer Healthcare Devices (CHD) in Healthcare 4.0 (HC 4.0) increasingly generate continuous physiological data that are transformed into 3-dimensional holographic visualizations for remote monitoring, diagnosis, and clinical decision support. However, existing IoMT and blockchain (BC)-based healthcare systems protect data storage and access but do not verify the integrity, freshness, or provenance of holographic patient representations, leaving such visualizations vulnerable to spoofing, replay, and slice-level tampering. This paper proposes a Blockchain-Assisted Holographic Counterpart (BAHC) framework that cryptographically binds wearable devices to holographic updates using PUF-derived Holographic Authentication Tokens (HAT), enforces slice-level integrity through a Merkle-Hologram-Commitment Tree (Merkle-HC Tree), and anchors updates on a permissioned Proof-of-Authority (PoA) BC. Privacy-preserving access control and verification are achieved using Ciphertext-Policy Attribute-Based Encryption (CP-ABE) and Zero-Knowledge Proofs (ZKPs). The framework is evaluated on a controlled experimental testbed emulating 500 concurrent patient streams using independent public physiological datasets and public MRI volumes for synthetic hologram generation, measuring end-to-end latency, anomaly detection performance, rendering efficiency, and blockchain throughput under up to 100 validators. Experimental results show a 68.6% reduction in holographic rendering latency, a 34% reduction in diagnostic latency, a relative 27% improvement in anomaly detection performance, and sustained throughput close to 500 transactions per second, demonstrating that BAHC provides a scalable and trustworthy foundation for secure holographic monitoring in HC 4.0 systems.
Yueyue He, Wenxuan Fan, Kaiming Chen, Atsuko Miyaji · 5 authors
No abstract is available for this record.
Oyelokiki George Egbedayo
No abstract is available for this record.
Surendra Kumar Shukla, Garima Sharma, Vishan Kumar Gupta, Harvinder Singh · 6 authors
No abstract is available for this record.
Zongrui Tang, Xiaomei Dong, Wenpeng Chen, Hanyu Mao · 8 authors
No abstract is available for this record.
Matthias Bohrn
Die vorliegende Arbeit befasst sich mit dem Spannungsfeld zwischen staatlicher Kontrolle und indi-vidueller Autonomie bei der Gestaltung von digitalen Zentralbankwährungen (Central Bank DigitalCurrencies, CBDCs). Auf Basis einer vergleichenden Analyse vier bestehender Systeme – Sand Dollar(Bahamas), e-CNY (China), eNaira (Nigeria) und e-Krona (Schweden) – wird eine deutliche Tendenzzur Zentralisierung sowie ein weitgehendes Fehlen von Technologien zum Schutz der Privatsphäre(Privacy-Enhancing Technologies) aufgezeigt. Mithilfe eines normativen Bewertungsrahmens, der diesechs Kriterien Dezentralisierung, Datenschutz, Interoperabilität, finanzielle Inklusion, Finanzstabil-ität und regulatorische Compliance umfasst, wird ein bislang unbesetztes Gestaltungsfeld identifiziert.Um diese Lücke zu schließen, wird ein Referenzmodell konzipiert, das eine erlaubnispflichtige(permissioned) Distributed Ledger Technology mit Zero-Knowledge Proofs, selektiver Offenlegungund einer Multi-Stakeholder-Governance verknüpft. Die technische Machbarkeit dieses Modells wirddurch einen funktionalen Python-Prototyp belegt. Die Ergebnisse stützen die Hypothese, dass hybrideArchitekturen Dezentralisierung, Privatsphäre und regulatorische Konformität erfolgreich in Einklangbringen können.
Xavier Bultel, Charlène Jojon, Benjamin Nguyen, Haoying Zhang
No abstract is available for this record.
Ujjwal Mishra, Rajesh Sasane, Sachin Lad, Pallavi Bhujbal · 6 authors
No abstract is available for this record.
Qiyuan Gao, Qianhong Wu, Junxiang Nong, Qi Liu
No abstract is available for this record.
Nikita Tiwari, Pradeep Kumar Biswal, Prakash Ranjan
The rapid development of the Internet of Medical Things (IoMT) has also facilitated real-time monitoring of healthcare, yet creates major issues of security, privacy, and interoperability, particularly in terms of emerging threats of quantum computing. This paper introduces a quantum-resilient blockchain paradigm, which combines post-quantum cryptography (PQC), Zero Knowledge Proofs (ZKPs), and Fast Healthcare Interoperability Resources (FHIR) into secure and interoperable healthcare data management. Key encapsulation is performed using lattice-based algorithms, including Kyber and NTRU, and Dilithium and Falcon are algorithms used to secure digital signatures against quantum attacks. An authentication system which is based on a ZKP, and role-based access control allows privatizing access to electronic health records without exposing sensitive data. The framework is deployed on a PBFT-based permissioned blockchain and tested in simulated IoMT settings and has low latency, high throughput, and efficient cryptographic performance. In general, the suggested system will provide a reconfigurable, secure, and future-oriented method to safeguard the healthcare information against quantum threats without compromising the interoperability of the heterogeneous systems.
Siqin Li, Kun He, Min Shi, Yajing Huang · 6 authors
Anonymous submissions inspire people to speak up since hiding their identities can protect them from negative influence by their own words. However, the abuse of anonymity may bring harassment to those public submission callers. Existing works only handle DoS attacks or block harassment senders in an active manner, which behave poorly in the early prevention of uncharacterized harassment. In this paper, we propose MsgFliter, a sender-anonymous messaging system with proactive anti-harassment mechanism. Our core idea is to prevent unanswered senders from sending messages continually while keeping their identities, messages, and sender types secret. To meet the functionality and security requirements of MsgFliter, we propose the Anti-Harassment Anonymous Authentication (AHAA) protocol. We associate messages from the same sender through linkable tags and invalidate linkability when a message is replied to. To achieve session indistinguishability, we further combine the proposed anonymous authentication with zero-knowledge proofs of disjunctive relations. We implement MsgFliter and compare its performance with related solutions. Experimental results show that our solution is practicable.
Shailendra Singh, Prashant Mishra
No abstract is available for this record.