Results 41 to 50 of about 579,666 (199)
Hardware Trojan Detection and Mitigation in NoC using Key authentication and Obfuscation Techniques
Today's Multiprocessor System-on-Chip (MPSoC) contains many cores and integrated circuits. Due to the current requirements of communication, we make use of Network-on-Chip (NoC) to obtain high throughput and low latency.
Thejaswini P +5 more
doaj +1 more source
Thermal Scans for Detecting Hardware Trojans
International audienceIt 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
Maxime Cozzi +5 more
core +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
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
Current computer engineering curriculum does not cover hardware security at the undergraduate level. It is assumed in many classes that security at the hardware level is impenetrable and that the hardware itself is not compromised in any way.
Top, Iris
core
Hardware Trojans - Detect and React?
Hardware Trojans are a serious threat. In comparison to their software counterparts, appropriate detection measures are still missing. The main reason is that there are no malware implementations to develop and test against. To solve this, we implemented
Dabrowski, Adrian +5 more
core +2 more sources
Base Semantics—A Novel Approach for Minimizing Malware Detection Rules
ABSTRACT The rapid evolution of malware variants has increasingly undermined traditional signature‐based detection techniques, which are easily evaded through obfuscation and polymorphism that preserve malicious functionality. This challenge is particularly acute in Internet of Things (IoT) environments, where device heterogeneity, resource constraints,
Khizar Hayat +5 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
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
Blockchain Security: An Empirical Evaluation of High‐Impact Exploits and Detection Tools
ABSTRACT Blockchain introduced secure, peer‐to‐peer transactions in decentralized environments without reliance on central authorities. However, attackers continue to exploit blockchain projects. Over the past decade, reported blockchain exploit losses have exceeded $24 billion.
Abdur Rehman Raza +5 more
wiley +1 more source

