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~ similar to 2605.03948v1· 20 results

cs.CRcs.DCcs.NIRecentMay 19, 2026

Security Analysis of Bitcoin's V2 Transport Protocol: Exploiting Design Implications for Sustained Eclipse and Downgrade Attacks

Charmaine Ndolo, Florian Tschorsch

This paper analyzes Bitcoin's new V2 P2P transport protocol, demonstrating that while it fixes known vulnerabilities, attackers can still execute conceptual attacks like message identification via pay…

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cs.CRRecentMar 17, 2026

Ember: A Serverless Peer-to-Peer End-to-End Encrypted Messaging System over an IPv6 Mesh Network

Hamish Alsop, Leandros Maglaras, Naghmeh Moradpoor

Ember is a serverless, peer-to-peer messaging system that provides end-to-end encrypted communication over a decentralized IPv6 mesh network while enforcing strict data minimization.

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cs.CRRecentMay 13, 2026

HE-PIM: Demystifying Homomorphic Operations on a Real-world Processing-in-Memory System

Harshita Gupta, Mayank Kabra, Jaewoo Park, Priyam Mehta +8 more

The paper characterizes Homomorphic Encryption (HE) operations on a real-world Processing-In-Memory (PIM) system, demonstrating that while PIM is a viable alternative to CPUs/GPUs, performance is limi…

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cs.CRRecentMay 15, 2026

Security Analysis of a Communication Protocol: MQTT

Ricardo Venâncio, Clarisse Sousa, Filipe Duarte, Luís Ribeiro

This paper analyzes MQTT security in IoT, demonstrating critical vulnerabilities like eavesdropping and DoS due to weak encryption and authentication, and proposes mitigation strategies.

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cs.CRRecentJun 1, 2026

I-(OT)^2: A Client-optimal Oblivious Transfer Protocol for IoT Devices

Elia Onofri, Andrea Ciccotelli, Roberto Di Pietro

The paper introduces $I$-$(OT)^2$, a novel base 1-out-of-2 Oblivious Transfer (OT) protocol designed to minimize computation and interaction for resource-constrained IoT devices.

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cs.CRcs.LGRecentMay 10, 2026

Privacy-Preserving Distributed Learning in IoT Systems: A Unified Threat Model and Evaluation Framework

John Cartmell, Alexander Williams

This paper introduces a unified threat model and evaluation framework to systematically compare privacy-preserving techniques for distributed learning in IoT systems, highlighting the trade-off betwee…

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cs.ARcs.CRRecentMay 29, 2026

HE^2: A Communication-Light Heterogeneous Architecture for Efficient Fully Homomorphic Encryption

Shangyi Shi, Husheng Han, Zhaoxuan Kan, Yinghao Yang +7 more

The paper proposes $HE^2$, a novel communication-light heterogeneous accelerator architecture that significantly improves the efficiency of Fully Homomorphic Encryption (FHE) by optimizing dataflow an…

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cs.ARcs.CRRecentMay 29, 2026

HE^2: A Communication-Light Heterogeneous Architecture for Efficient Fully Homomorphic Encryption

Shangyi Shi, Husheng Han, Zhaoxuan Kan, Yinghao Yang +7 more

The paper proposes $HE^2$, a novel communication-light heterogeneous accelerator architecture that significantly improves the efficiency of Fully Homomorphic Encryption (FHE) by optimizing dataflow an…

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cs.CRRecentApr 13, 2026

Evaluating Lightweight Block Cipher Payload Encryption for Real-Time CAN Traffic

Kevin Setterstrom, Jeremy Straub

The paper demonstrates that using lightweight block cipher encryption on CAN payloads can effectively prevent passive reverse engineering of signal semantics without significantly impacting real-time…

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cs.CRRecentMar 20, 2026

LiteAtt: A Peer-to-Peer Self-Attestation Framework and Handshake Protocol for Connected IoT Devices

Varun Kohli, Biplab Sikdar

LiteAtt introduces a verifier-less, Peer-to-Peer Self-Attestation (P2P-SA) framework for modern IoT MCUs, enabling mutual authentication and firmware attestation directly within the connection handsha…

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cs.CRRecentMay 13, 2026

MQTT Across a Raspberry Pi 5 IoT Network Utilizing Quantum-resistant Signature Algorithms

Ray Feingold, Chansu Yu

This paper demonstrates the integration of the quantum-resistant FALCON digital signature scheme into an MQTT-based IoT network using Raspberry Pi 5s to secure communications against future quantum at…

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cs.CRRecentMar 19, 2026

Impact of Differentials in SIMON32 Algorithm for Lightweight Security of Internet of Things

Jonathan Cook, Sabih ur Rehman, M. Arif Khan

The paper analyzes the differential properties of the SIMON32 cipher, identifying high-probability differentials to improve the efficiency and depth of cryptanalysis beyond current state-of-the-art me…

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cs.CRRecentMay 28, 2026

FIDEM: A Standard-Compliant Framework for Secure Binding of MUD Profiles to IoT Devices

Alessandro Lotto, Savio Sciancalepore, Alessandro Brighente, Mauro Conti

FIDEM introduces a standard-compliant framework that uses Zero-Knowledge Proofs to securely bind IoT devices to their Manufacturer Usage Description (MUD) profiles, mitigating risks associated with in…

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cs.CRRecentMay 5, 2026

Quantum-Resistant Networks: A Review of Primitives, Protocols and Best Practices

Elisa Bertino, Ramana Kompella, Ashish Kundu, Cristina Nita-Rotaru +2 more

This paper provides a comprehensive, system-level taxonomy for designing quantum-resistant network architectures, moving beyond simple protocol substitutions to address key distribution and management…

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cs.CRRecentApr 27, 2026

Converging Zero Trust and IoT Security: A Multivocal Literature Review

Mariam Wehbe, Laurent Bobelin

This multivocal literature review analyzes the convergence of IoT and Zero Trust security, finding that academia focuses on IoT modifications while industry prioritizes practical integration within ex…

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cs.CRRecentApr 23, 2026

Physically Unclonable Functions for Secure IoT Authentication and Hardware-Anchored AI Model Integrity

Maryam Taghi Zadeh, Mohsen Ahmadi

This survey reviews hardware-rooted trust mechanisms, such as PUFs and TPMs, demonstrating that hardware-based solutions are superior to software-only methods for ensuring secure authentication and AI…

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cs.CRcs.DCRecentApr 21, 2026

CHRONOS: A Hardware-Assisted Phase-Decoupled Framework for Secure Federated Learning in IoT

Hung Dang

CHRONOS is a hardware-assisted framework that significantly reduces the latency of secure federated learning by decoupling cryptographic key setup from the active training phase, while maintaining hig…

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cs.CRRecentMar 27, 2026

Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption

Ivan Costa, Pedro Correia, Ivone Amorim, Eva Maia +1 more

This paper enhances Federated Learning privacy by integrating two key protection mechanisms—masking and RSA encapsulation—into Hybrid Homomorphic Encryption (HHE) to secure against malicious clients.

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cs.CRRecentMay 6, 2026

A Pragmatic Comparison of Cryptographic Computation Technologies for Machine Learning

Marcus Taubert, Adam Skuta, Thomas Loruenser

This paper provides a comparative analysis and benchmarking of Secure Multi-Party Computation (SMPC) and Fully Homomorphic Encryption (FHE) for machine learning, finding that the optimal choice depend…

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cs.CRcs.LGRecentMay 28, 2026

Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels

Anthony Ayli, Khalil Harris, Jihad Fahs, Mohamad Assaad

The paper proposes a novel four-phase protocol to enable secure, multi-key homomorphic encryption (xMK-CKKS) aggregation for zero-order Federated Learning over wireless channels without requiring chan…

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