Results 31 to 40 of about 417 (172)
With Cyber warfare, detection of hardware Trojans, malicious digital circuit components that can leak data and degrade performance, is an urgent issue. Quasi‐Delay Insensitive asynchronous digital circuits, such as NULL Convention Logic (NCL) and Sleep ...
Kushal K. Ponugoti +3 more
doaj +1 more source
Hardware Trojan Dataset of RISC-V and Web3 Generated with ChatGPT-4
Although hardware trojans impose a relevant threat to the hardware security of RISC-V and Web3 applications, existing datasets have a limited set of examples, as the most famous hardware trojan dataset TrustHub has 106 different trojans.
Victor Takashi Hayashi +1 more
doaj +1 more source
ENTT/ENTTR: A Family of Improved Emerging NVM-Based Trojan Triggers and Resets
Hardware Trojans in Integrated Circuits (ICs), that are inserted as hostile modifications in the design phase and/or the fabrication phase, are a security threat since the semiconductor manufacturing process is increasingly becoming globalized.
Karthikeyan Nagarajan +2 more
doaj +1 more source
Hardware Trojans detection through automatic properties extraction and formal verification
To address the difficulties in obtaining golden reference models and the low accuracy when conducting pre-silicon hardware Trojans detection on a large-scale integrated circuit design, a formal detection method to quickly and accurately locate hardware ...
DAI Xiaojie +3 more
doaj +1 more source
Hardware Trojan Identification and Detection
ABSTRACT The majority of techniques developed to detect hardware trojans are based on specific attributes. Further, the ad hoc approaches employed to design methods for trojan detection are largely ineffective. Hardware trojans have a number of attributes which can be used to systematically develop detection techniques.
Moein, Samer +3 more
openaire +1 more source
Deep learning methods have been extensively studied and have been proven to be very useful in multiple fields of technology. This paper presents a deep learning approach to optically detect hidden hardware trojans in the manufacturing and assembly phase ...
Ameya Kulkarni, Chengying Xu
doaj +1 more source
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 +4 more
wiley +1 more source
Liquid jet capabilities for ultrafast chemistry at the SwissFEL Alvra instrument
The technical aspects of the Alvra endstation are outlined and its scientific capabilities are demonstrated with commissioning results obtained during the early years of SwissFEL's operation.The Alvra experimental station at the Swiss X‐ray free‐electron laser, SwissFEL, investigates ultrafast dynamics in chemical and biological systems using X‐ray ...
Claudio Cirelli +9 more
wiley +1 more source
Hardware security and reliability verification based on fault propagation model
Large scale integrate circuits is facing serious threat such as design vulnerabilities, side channels, and hardware Trojans. Traditional functional verification method is difficult to ensure high test coverage, and it is also difficult to detect security
ZHANG Xige +5 more
doaj +1 more source
Inducible CRISPR/Cas systems in precision oncology: Current applications and future perspectives
Inducible CRISPR/Cas systems enable spatiotemporal genome editing in precision oncology. Chemical, optical, physical, and microenvironmental stimuli provide distinct control strategies. Conditional activation may reduce off‐target exposure and basal nuclease activity.
Ziliang Ding +3 more
wiley +1 more source

