Results 51 to 60 of about 3,548,547 (167)

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, Sara Silva Pereira, David Kirchenbuechler, Leandro Lemgruber, Constadina Arvanitis   +4 more
wiley   +1 more source

Hardware Trojan detection using exhaustive testing of k-bit subspaces

, 2015
Post-silicon hardware Trojan detection is challenging because the attacker only needs to implement one of many possible design modifications, while the verification effort must guarantee the absence of all imaginable malicious circuitry.
Cheng, Kwang Ting, Kulkarni, Shrikant, Lesperance, Nicole   +2 more
core   +1 more source

Blockchain and time-delay based hardware Trojan detection

, 2022
Nowadays, various electronic devices bring convenience to people’s life and work, which is inseparable from the development of microelectronics technology.
Zhai, Dongyao
core   +1 more source

Triggered Hardware Trojan Detection in IP Cores for Ensuring Safety in Cyber Physical Systems

Chips
Cyber physical systems (CPSs) increasingly depend on complex hardware IP cores to perform critical functions. However, triggered hardware Trojans’ stealthy, malicious modifications activated under rare conditions pose significant threats to the safety ...
Mahfuzur Rahman Talukder, Md. Eftekhar Alam, Abu Monsur Mohammah Fahim, Fakir Sharif Hossain   +3 more
doaj   +1 more source

A Survey of SIR‐Based Differential Epidemic Models for Control and Security Against Malware Propagation in Computer Networks

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, M. Faisal Amjad, Sajjad A. Ghauri, Shahzaib Tahir, Nauman Anwar Baig   +4 more
wiley   +1 more source

Hardware Trojans detection based on projection pursuit

Tongxin xuebao, 2013
A novel hardware Trojans detection technique using the side channel signals of chips was proposed.Based on the projection pursuit with absolute information divergence index,this technique could find out the data structure enables reflect high dimension ...
Peng ZHANG, Xin-cheng WANG, Qing ZHOU
doaj   +2 more sources

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

Trojan Awakener

, 2021
S.17-27The threat of hardware Trojans (HTs) and their detection is a widely studied field. While the effort for inserting a Trojan into an application-specific integrated circuit (ASIC) can be considered relatively high, especially when trusting the chip
Jean-Pierre Seifert, Shahin Tajik, Krachenfels, Thilo, Seifert, Jean-Pierre, Tajik, Shahin, Thilo Krachenfels   +5 more
core   +1 more source

A Side Channel Delay Analysis for Hardware Trojan Detection [PDF]

, 2020
This research proposal introduces a learning assisted modeling technique for the purpose of Hardware Trojan detection. Our proposed model, unlike the prior art, does not require a Golden fabricated chip as a fingerprint to compare the side channel ...
Vakil, Ashkan
core   +1 more source