Results 31 to 40 of about 5,994 (219)
Design and detection of hardware Trojan based on satisfiability don't cares
网络与信息安全学报, 2021 Hardware Trojans are intended malicious design modifications to integrated circuits, which can be used to launch powerful low-level attacks after being activated.
WU Lingjuan +1 more
doaj +1 more source
Adaptive secure malware efficient machine learning algorithm for healthcare data
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source
A machine learning method for hardware Trojan detection on real chips
AIP Advances, 2021 Due to the global supply chain of integrated circuits (IC) from design to application, Hardware Trojan (HT) may be stealthily inserted into ICs. The effect of HT detection methods are related to the signal-to-noise ratio (SNR) and the Trojan-to-circuit ...
C. Sun +5 more
doaj +1 more source
Topological Detection of Trojaned Neural Networks
CoRR, 2021 Deep neural networks are known to have security issues. One particular threat is the Trojan attack. It occurs when the attackers stealthily manipulate the model's behavior through Trojaned training samples, which can later be exploited. Guided by basic neuroscientific principles we discover subtle -- yet critical -- structural deviation characterizing ...
Songzhu Zheng +4 more
openaire +3 more sources
IEEE Access, 2020 The ageing phenomenon of negative bias temperature instability (NBTI) continues to challenge the dynamic thermal management of modern FPGAs. Increased transistor density leads to thermal accumulation and propagates higher and non-uniform temperature ...
Sohaib Aslam +4 more
doaj +1 more source
Hardware Trojan Detection Method Based on Hidden Markov Model [PDF]
Jisuanji gongcheng, 2016 Hardware Trojan causes a huge threat to the reliability of the integrated circuit chips,so this paper proposes a Trojan detection method based on Hidden Markov Model(HMM).It extracts the characteristic parameters of original circuit data,trains the ...
GAO Zhenbin,BAI Xue,YANG Song,HE Jiaji
doaj +1 more source
A Novel Semi-Supervised Adversarially Learned Meta-Classifier for Detecting Neural Trojan Attacks
IEEE Access, 2023 Deep neural networks (DNNs) are highly vulnerable to neural Trojan attacks. To carry out such an attack, an adversary retrains a DNN with poisoned data or modifies its parameters to produce incorrect output.
Shahram Ghahremani +3 more
doaj +1 more source
Structural and Functional Siderophore Remodeling by Enzymatic Delipidation
Angewandte Chemie, EarlyView.A surprising functional switch in bacterial siderophores was discovered through genome mining and the analysis of environmental and pathogenic Pandoraea species. Pandorachelin B, a lipocyclopeptide that promotes swarming motility, is cleaved by a specialized acylase, yielding a ring‐contracted, homodetic cyclopeptide, pandorachelin A, which exhibits ...
Elena Herzog +5 more
wiley +2 more sources
Engineering of fluorescent or photoactive Trojan probes for detection and eradication of β-Amyloids
Drug Delivery, 2020 Trojan horse technology institutes a potentially promising strategy to bring together a diagnostic or cell-based drug design and a delivery platform.
Amal A. Aziz +2 more
doaj +1 more source
Bio-Inspired Approaches to Safety and Security in IoT-Enabled Cyber-Physical Systems
Sensors, 2020 Internet of Things (IoT) and Cyber-Physical Systems (CPS) have profoundly influenced the way individuals and enterprises interact with the world. Although attacks on IoT devices are becoming more commonplace, security metrics often focus on software ...
Anju P. Johnson +2 more
doaj +1 more source