Results 31 to 40 of about 695 (175)
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
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
A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things
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 +3 more
doaj +1 more source
Research on Influencing Factor of Hardware Trojan Side-channel Detection Method [PDF]
The side-channel detection method screens the hardware Trojan circuit by collecting physical parameters such as power consumption,delay,and electromagnetic field,but its detection performance is seriously affected by process fluctuation,and process ...
LI Ying,CHEN Lan,ZHOU Yinhao
doaj +1 more source
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa +2 more
wiley +1 more source
A Novel Two-Level Protection Scheme against Hardware Trojans on a Reconfigurable CNN Accelerator
With the boom in artificial intelligence (AI), numerous reconfigurable convolution neural network (CNN) accelerators have emerged within both industry and academia, aiming to enhance AI computing capabilities.
Zichu Liu +3 more
doaj +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
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
The Influence of Big Data‐Driven Educational Technologies on College Teaching Development
Exploring the impact of big data on college instructors: enhancing teaching, fostering professional growth, and addressing challenges in data adoption and privacy. ABSTRACT The rapid development of big data and mobile Internet technologies has significantly influenced the instructional growth of college instructors. This study investigated how big data
Ling Yu, Wenye Li, Ying Luo
wiley +1 more source
Targeted modification of hardware trojans
The use of untrusted design tools, components, and designers, coupled with untrusted device fabrication, introduces the possibility of malicious modifications being made to integrated circuits (ICs) during their design and fabrication. These modifications are known as hardware trojans. The widespread use of commercially purchased 3rd party intellectual
Jason R. Hamlet +2 more
openaire +2 more sources

