Results 101 to 110 of about 9,623 (197)

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

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

Malware in IoT Software and Hardware [PDF]

, 2016
Koutsikou, Konstantina, Milosevic, Jelena, Sklavos, Nicolas   +2 more
core  

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

MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. [PDF]

Sci Data
Bragança H, Kreutz D, Rocha V, Assolin J, Feitosa E.   +4 more
europepmc   +1 more source

Applicability and Design Considerations of Chaotic and Quantum Entropy Sources for Random Number Generation in IoT Devices. [PDF]

Entropy (Basel)
Marszalek W, Melosik M, Naumowicz M, Głowacki P.   +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

A distributed framework for zero-day malware detection using federated ensemble models. [PDF]

PLoS One
Ishfaq H, Shah JH, Saleem R, Afzal M.
europepmc   +1 more source

IoT malware: An attribute-based taxonomy, detection mechanisms and challenges. [PDF]

Peer Peer Netw Appl, 2023
Victor P, Lashkari AH, Lu R, Sasi T, Xiong P, Iqbal S.   +5 more
europepmc   +1 more source

Few-shot android malware classification with quantum-enhanced prototypical learning and drift detection. [PDF]

Sci Rep
Tawfik M, Tarazi H, Dalalah A, Bajeszeyadaljunaeidia, Shaban WM, Fathi IS.   +5 more
europepmc   +1 more source