Cyber-Twin: Digital Twin-boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks
The article presents a study introducing a cyber-twin framework to enhance the security of Roadside Units (RSUs)…
Quantum Resistant Ciphertext-Policy Attribute-Based Encryption Scheme with Flexible Access Structure
The academic article discusses a novel ciphertext-policy attribute-based encryption (CP-ABE) scheme that introduces a flexible access structure….
A Modular Approach to Automatic Cyber Threat Attribution using Opinion Pools
The article discusses the importance of cyber threat attribution and the need to automate this process. It…
Carry Your Fault: A Fault Propagation Attack on Side-Channel Protected LWE-based KEM
The article discusses a new type of fault attack on side-channel secure masked implementation of LWE-based key-encapsulation…
All of Me: Mining Users’ Attributes from their Public Spotify Playlists
This work explores the relationship between Spotify users’ attributes and their public playlists, focusing on identifying recurring…
A Quantum Lifting Theorem for Constructions of Pseudorandom Generators from Random Oracles
This study focuses on the quantum security of pseudorandom generators (PRGs) constructed from random oracles. The authors…
SunBlock: Cloudless Protection for IoT Systems
The paper ‘SunBlock: Cloudless Protection for IoT Systems’ addresses the increasing security threats and privacy risks associated…
Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement
The study introduces CAFFEINE, a context-aware refinement framework for contradictory personas in long-term conversations. This framework aims…
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
AVs utilize deep neural network (DNN)-based classification systems to identify traffic signs. However, these models are susceptible…
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models models via Romanization
The study addresses the challenge of extending Large Language Models (LLMs) to non-English languages, specifically those using…