Results 121 to 130 of about 1,852 (218)

Intelligent Electromagnetic Sensors for Non-Invasive Trojan Detection. [PDF]

Sensors (Basel), 2021
Chen E, Kan J, Yang BY, Zhu J, Chen V.
europepmc   +1 more source

Near-Field Microwave Sensing for Chip-Level Tamper Detection. [PDF]

Sensors (Basel)
Saadat Safa M, Tajik S.
europepmc   +1 more source

Encryption chain based on measurement result and its applications on semi-quantum key distribution protocol. [PDF]

Sci Rep, 2022
Yang CW.
europepmc   +1 more source

ChipletQuake: On-Die Digital Impedance Sensing for Chiplet and Interposer Verification. [PDF]

Sensors (Basel)
Khalaj Monfared S, Saadat Safa M, Tajik S.   +2 more
europepmc   +1 more source

Hardware reverse engineering and its implications for hardware protections and hardware trojans

Mikrochips bilden das Rückgrat der digitalen Gesellschaft, doch globale, komplexe Lieferketten erhöhen das Risiko böswilliger Hardware-Manipulationen. Hardware-Reverse-Engineering (HRE) kann Angriffe wie Hardware-Trojaner aufdecken, ermöglicht jedoch zugleich IP-Diebstahl und Angriffsvorbereitungen.
openaire   +2 more sources

Three-Basis Loop-Back QKD: A Passive Architecture for Secure and Scalable Quantum Mobile Networks. [PDF]

Entropy (Basel)
Lizama-Pérez LA, Morales-Calvo P.
europepmc   +1 more source

Hardware Trojan Detection Utilizing Graph Neural Networks and Structural Checking

The integrated circuit (IC) industry has experienced exponential growth, particularly in the complexity and scale of hardware designs. To sustain this growth, faster development cycles and cost-effective solutions have been the focus for many companies ...
Nauman, Hunter
core   +1 more source

Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. [PDF]

Sensors (Basel)
Maghanaki M, Keramati S, Chen FF, Shahin M.   +3 more
europepmc   +1 more source

A dual mode self-test for a stand alone AES core. [PDF]

PLoS One, 2021
Hossain FS, Sakib TH, Ashar M, Ferdian R.   +3 more
europepmc   +1 more source

TCF-CBM: a three-stage collaborative poisoned sample filtering method based on composite backdoor mechanism. [PDF]

Sci Rep
Huang W, Gui W, Chen Y, Chen G, Lv Q, Du Z.   +5 more
europepmc   +1 more source