Results 41 to 50 of about 5,994 (219)

Thermal Scans for Detecting Hardware Trojans [PDF]

, 2018
It is well known that companies have been outsourcing their IC production to countries where it is simply not possible to guarantee the integrity of final products. This relocation trend creates a need for methodologies and embedded design solutions to identify counterfeits but also to detect potential Hardware Trojans (HT).
Cozzi, Maxime, Maurine, Philippe, Galliere, Jean-Marc   +2 more
openaire   +2 more sources

A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things

International Journal of Distributed Sensor Networks, 2019
With the development of the Internet of Things, smart devices are widely used. Hardware security is one key issue in the security of the Internet of Things.
Chen Dong, Jinghui Chen, Wenzhong Guo, Jian Zou   +3 more
doaj   +1 more source

Using deep learning to detect digitally encoded DNA trigger for Trojan malware in Bio-Cyber attacks

Scientific Reports, 2022
This article uses Deep Learning technologies to safeguard DNA sequencing against Bio-Cyber attacks. We consider a hybrid attack scenario where the payload is encoded into a DNA sequence to activate a Trojan malware implanted in a software tool used in ...
M. S. Islam, S. Ivanov, H. Awan, J. Drohan, S. Balasubramaniam, L. Coffey, S. Kidambi, W. Sri-saan   +7 more
doaj   +1 more source

Research and realization of the Trojan detection engine based on Android

Dianxin kexue, 2016
During recent years, Trojan viruses on Android systems have greatly evolved, and the frequent security breach of Android systems is rapidly becoming a great concern of contemporary cyber security. The study of Trojan virus detection on Android engine and
Bin XIA, Feng QIU
doaj   +2 more sources

Hardware Trojan Detection Based on Long Short-Term Memory Neural Network [PDF]

Jisuanji gongcheng, 2020
Hardware Trojans pose a huge threat to the reliability of integrated circuit chips.Therefore,this paper proposes a hardware Trojan detection method based on Principal Component Analysis(PCA) and Long Short-Term Memory(LSTM) neural network.The method uses
HU Tao, DIAN Songyi, JIANG Ronghua
doaj   +1 more source

Trojan Detection Test for Clockless Circuits

Journal of Electronic Testing, 2020
Clockless integrated circuits, as any type of integrated system, might today carry hardware Trojan (HT) circuits maliciously implanted in the designs during outsourced phases of fabrication. This paper proposes a testing technique dedicated to detect HTs in clockless circuits fabricated in CMOS technologies.
Ricardo Aquino Guazzelli, Matheus Garay Trindade, Leonel Acunha Guimaraes, Thiago Ferreira de Paiva Leite, Laurent Fesquet, Rodrigo Possamai Bastos   +5 more
openaire   +2 more sources

DETERRENT

Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022
Insertion of hardware Trojans (HTs) in integrated circuits is a pernicious threat. Since HTs are activated under rare trigger conditions, detecting them using random logic simulations is infeasible. In this work, we design a reinforcement learning (RL) agent that circumvents the exponential search space and returns a minimal set of patterns that is ...
Gohil, Vasudev, Patnaik, Satwik, Guo, Hao, Kalathil, Dileep, Jeyavijayan, Rajendran   +5 more
openaire   +2 more sources

Gate-Level Hardware Trojan Detection Method for Graph Neural Networks Based on Controllability Metrics [PDF]

Jisuanji gongcheng
With the continuous increase in globalization, third-party Intellectual Property (IP) core applications have become increasingly widespread. The gradual maturity of hardware Trojan attack technology enables the implantation of hardware Trojan in the chip
Yang ZHANG, Chang LIU, Shaoqing LI
doaj   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Trojan Detection in Large Language Models: Insights from The Trojan Detection Challenge

CoRR
Large Language Models (LLMs) have demonstrated remarkable capabilities in various domains, but their vulnerability to trojan or backdoor attacks poses significant security risks. This paper explores the challenges and insights gained from the Trojan Detection Competition 2023 (TDC2023), which focused on identifying and evaluating trojan attacks on LLMs.
Narek Maloyan, Ekansh Verma, Bulat Nutfullin, Bislan Ashinov   +3 more
openaire   +2 more sources