Výsledky vyhledávání - "Islam, Md. Shohidul"

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Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling

Autor: Islam, Md Shohidul, Alouani, Ihsen, Khasawneh, Khaled N.

Machine learning-based hardware malware detectors (HMDs) offer a potential game changing advantage in defending systems against malware. However, HMDs suffer from adversarial attacks, can be effectively reverse-engineered and subsequently be evaded,

Externí odkaz: http://arxiv.org/abs/2103.06936

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E-MIIM: An Ensemble Learning based Context-Aware Mobile Telephony Model for Intelligent Interruption Management

Autor: Sarker, Iqbal H., Kayes, A. S. M., Furhad, Md Hasan, Islam, Mohammad Mainul, Islam, Md Shohidul

Publikováno v: Journal: AI and Society, Springer Nature, 2019

Nowadays, mobile telephony interruptions in our daily life activities are common because of the inappropriate ringing notifications of incoming phone calls in different contexts. Such interruptions may impact on the work attention not only for the mo

Externí odkaz: http://arxiv.org/abs/1909.11029

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IoT Device Fingerprint using Deep Learning

Autor: Aneja, Sandhya, Aneja, Nagender, Islam, Md Shohidul

Device Fingerprinting (DFP) is the identification of a device without using its network or other assigned identities including IP address, Medium Access Control (MAC) address, or International Mobile Equipment Identity (IMEI) number. DFP identifies a

Externí odkaz: http://arxiv.org/abs/1902.01926

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