Results 81 to 90 of about 5,994 (219)

TrojanWhisper: Evaluating Pre-Trained LLMs to Detect and Localize Hardware Trojans

IEEE Access
Existing Hardware Trojan (HT) detection methods face critical limitations: logic testing struggles with scalability, side-channel analysis requires golden reference chips, and formal verification suffers from state-space explosion.
Md Omar Faruque, Peter Jamieson, Ahmad Patooghy, Abdel-Hameed A. Badawy   +3 more
doaj   +1 more source

A Cost-Driven Method for Deep-Learning-Based Hardware Trojan Detection. [PDF]

Sensors (Basel), 2023
Dong C, Yao Y, Xu Y, Liu X, Wang Y, Zhang H, Xu L.   +6 more
europepmc   +1 more source

Microplastics and the Endocrine–Metabolic Interface: Novel Diagnostic Tools Targeting Thyroid–Adipose Axis

Environmental Toxicology, EarlyView.
ABSTRACT Microplastics (MPs) have been identified as major environmental contaminants that can affect organisms directly and act as carriers of particles and chemical additives, thereby aggravating endocrine networks that coordinate metabolic homeostasis.
Sunday Amos Onikanni, Babasola Aiyeku, Marjorie Dardis Murucci, Temitope Aribigbola, Kenia Bispo, Oluwatosin Stella Olayinka, Rômulo Sperduto Dezonne, Sara Gemini Piperni, Paula Soares, Denise Pires de Carvalho, Leandro Miranda‐Alves   +10 more
wiley   +1 more source

Intelligent Electromagnetic Sensors for Non-Invasive Trojan Detection. [PDF]

Sensors (Basel), 2021
Chen E, Kan J, Yang BY, Zhu J, Chen V.
europepmc   +1 more source

Feature-Engineered Trojan Malware Detection on Windows-Based IoT Gateways Using a Custom Deep Neural Network and Automated Monitoring Pipeline

Journal of Cybersecurity and Privacy
The growth of Internet of Things (IoT) environments has expanded the attack surface of modern systems. Trojan attacks are a major challenge as they evade conventional detection mechanisms and operate silently within legitimate processes.
Mazdak Maghanaki, Mohammad Shahin, Soraya Keramati, F. Frank Chen, Enrique Contreras   +4 more
doaj   +1 more source

Remote Access Trojan Traffic Detection Based on Fusion Sequences [PDF]

Jisuanji kexue
In response to the issues of weak generalization ability,limited representation capability,and delayed warning in exis-ting remote access Trojan(RAT) traffic detection methods,a RAT traffic detection model based on a fusion sequence is proposed.By deeply
WU Fengyuan, LIU Ming, YIN Xiaokang, CAI Ruijie, LIU Shengli
doaj   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
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, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Fleeting Feminism: The Singapore Women's Federation, Singapore Chinese Left‐Wing Feminism and Anti‐Colonial Nationalism, c. 1950s

Gender &History, EarlyView.
ABSTRACT In 1955, two female factory workers and trade union leaders, Tan Lee Eng and Kwek Tai Eng, established the Singapore Women's Federation (SWF) to unite women regardless of race, religion or class for the anti‐colonial nationalist struggle. Singapore Chinese left‐wing feminism emerged at the confluence of the nationalist interest in mobilising ...
Yee‐Ting Leong
wiley   +1 more source

Detection of Botnet in the loT Network [PDF]

ITM Web of Conferences
The ubiquity of Internet of Things (IoT) devices has prompted security concerns, particularly in the face of evolving botnet attacks. This paper investigates the impact of botnet attacks on IoT devices and proposes a network-based detection and ...
Mumtaz Syeda Lamiya, Syed Hassan Jamil, Al-Ani Ayman, Fatah Salmah, Al-Ani Ahmed K., Khan Azeem   +5 more
doaj   +1 more source

Co‐phylogeny and biogeography of the myrmecophilous beetle Paussus favieri (Carabidae, Paussinae) and its host ant Pheidole pallidula (Hymenoptera, Myrmicinae)

Insect Science, EarlyView.
Strict patterns of co‐divergence have rarely been documented other than among organisms and their symbionts. In this paper, using a molecular approach, we inferr the population‐level phylogenies of a Mediterranean ant species Pheidole pallidula and its nest parasite, the obligate myrmecophilous beetle Paussus favieri. We then investigate the role of co‐
Davide Bergamaschi, Wendy Moore, Andrea Di Giulio   +2 more
wiley   +1 more source