Results 31 to 40 of about 3,548,547 (167)
HTDet: A Clustering Method Using Information Entropy for Hardware Trojan Detection
Hardware Trojans (HTs) have drawn increasing attention in both academia and industry because of their significant potential threat. In this paper, we propose HTDet, a novel HT detection method using information entropy-based clustering.
Renjie Lu +5 more
doaj +1 more source
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
Base Semantics—A Novel Approach for Minimizing Malware Detection Rules
ABSTRACT The rapid evolution of malware variants has increasingly undermined traditional signature‐based detection techniques, which are easily evaded through obfuscation and polymorphism that preserve malicious functionality. This challenge is particularly acute in Internet of Things (IoT) environments, where device heterogeneity, resource constraints,
Khizar Hayat +5 more
wiley +1 more source
Blockchain Security: An Empirical Evaluation of High‐Impact Exploits and Detection Tools
ABSTRACT Blockchain introduced secure, peer‐to‐peer transactions in decentralized environments without reliance on central authorities. However, attackers continue to exploit blockchain projects. Over the past decade, reported blockchain exploit losses have exceeded $24 billion.
Abdur Rehman Raza +5 more
wiley +1 more source
Hardware Trojan detection [PDF]
Chip design and fabrication is becoming increasingly vulnerable to malicious activities and alternations with globalization. An adversary can introduce a Trojan designed to disable and/or destroy a system at some future time (Time Bomb) or the Trojan may
Krishnan, Sunumani
core
Register-transfer-level features for machine-learning-based hardware trojan detection
Register-transfer-level (RTL) information is hardly available for hardware Trojan detection. In this paper, four RTL Trojan features related to branching statement are proposed. The Minimum Redundancy Maximum Relevance (mRMR) feature selection is applied
Inoue, Michiko +5 more
core +1 more source
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang +3 more
wiley +1 more source
ABSTRACT As the global tourism industry confronts the existential imperatives of the Anthropocene, the remediation of degraded landscapes through regenerative economic models has emerged as a critical frontier in sustainability science. This research presents a rigorous empirical examination of the “restoration–revenue” paradigm, investigating the ...
Xin Sui, Tianchang Chen
wiley +1 more source
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa +2 more
wiley +1 more source
Hardware Trojan detection method based upon XGBoost model
This paper proposed a hardware Trojan detection method based upon XGBoost(eXtreme Gradient Boosting) model by using the analysis results of ring oscillator network, and used the cross-validation method to optimize the model.
Gao Hongbo +3 more
doaj +1 more source

