Results 61 to 70 of about 579,666 (199)
Applied Sciences, 2022 Hardware Trojans (HTs) are malicious hardware components designed to leak confidential information or cause the chip/circuit on which they are integrated to malfunction during operation.
Zeyu Li +4 more
doaj +1 more source
Targeted modification of hardware trojans
Journal of Hardware and Systems Security, 2019 The use of untrusted design tools, components, and designers, coupled with untrusted device fabrication, introduces the possibility of malicious modifications being made to integrated circuits (ICs) during their design and fabrication. These modifications are known as hardware trojans. The widespread use of commercially purchased 3rd party intellectual
Jason R. Hamlet +2 more
openaire +3 more sources
The Influence of Big Data‐Driven Educational Technologies on College Teaching Development
Engineering Reports, Volume 8, Issue 2, February 2026.Exploring the impact of big data on college instructors: enhancing teaching, fostering professional growth, and addressing challenges in data adoption and privacy. ABSTRACT The rapid development of big data and mobile Internet technologies has significantly influenced the instructional growth of college instructors. This study investigated how big data
Ling Yu, Wenye Li, Ying Luo
wiley +1 more source
Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology
Journal of Microscopy, Volume 301, Issue 2, Page 280-329, February 2026.Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz +4 more
wiley +1 more source
DANA Universal Dataflow Analysis for Gate-Level Netlist Reverse Engineering
Transactions on Cryptographic Hardware and Embedded Systems, 2020 Reverse engineering of integrated circuits, i.e., understanding the internals of Integrated Circuits (ICs), is required for many benign and malicious applications.
Nils Albartus +4 more
doaj +1 more source
SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.ABSTRACT Unarguably, malware and their variants have metamorphosed into objects of attack and cyber warfare. These issues have directed research focus to modeling infrastructural settings and infection scenarios, analyzing propagation mechanisms, and conducting studies that highlight optimized remedial measures.
Chukwunonso Henry Nwokoye
wiley +1 more source
A Hybrid Transformer–CNN Framework for Semantic Behavioral Modeling in Office Malware Detection
SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.ABSTRACT Office documents have emerged as a prevalent attack vector, with adversaries increasingly embedding executable payloads and malicious macros to evade signature‐based detection mechanisms. To address these challenges, this study presents a hybrid Transformer–CNN semantic behavioral modeling framework for Office malware detection.
Sheikh M. Zeeshan Javed +4 more
wiley +1 more source
, 2016 Given the increasing complexity of modern electronics and the cost of fabrication, entities from around the globe have become more heavily involved in all phases of the electronics supply chain.
S. Bhunia +10 more
core +1 more source
ACTIC: A Large Language Model‐Based Method for Threat Intelligence Perception
IET Communications, Volume 20, Issue 1, January/December 2026.This paper proposes a study that introduces an automated method for constructing a threat intelligence knowledge graph construction method based on using large language models, named ACTIC. This approach utilises a locally deployed DeepSeek‐32B model and employs, combined with prompt engineering and Low‐Rank Adaptation (LoRA) fine‐tuning, to extract ...
Changcheng Liu, Changheng Yang, Jun Ma
wiley +1 more source
BBC‐DRL: A Reinforcement and Deep Learning‐Based Cybersecurity Knowledge Graph Construction Method
IET Communications, Volume 20, Issue 1, January/December 2026.In this paper, we propose an innovative hybrid neural network architecture for cybersecurity entity extraction: it integrates the BERT–lBiLSTM–CRF model with the Proximal Policy Optimization (PPO) deep reinforcement learning algorithm. Specifically, BERT is used to capture deep semantic features, BiLSTM to model contextual dependencies (ensuring the ...
Changheng Yang, Changcheng Liu, Jun Ma
wiley +1 more source