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SNIFFER leverages in-hardware feature monitoring, and uses machine learning to assess whether a system shows signs of an attack. Experiments with a virtual ...
SNIFFER: A high-accuracy malware detector for enterprise-based systems. E. Chavis, H. Davis, Y. Hou, M. Hicks, S. Yitbarek, T. Austin, and V. Bertacco.
SNIFFER: A high-accuracy malware detector for enterprise-based systems ... System for Interactive Scientific and Scientific-Technical Information”.
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This paper examines the feasibility of building a malware detector in hardware using existing performance counters and finds that data from performance ...
Mar 14, 2020 · In this paper, we propose three models to capture the combined output of different combinations of anti-malware scanners based on the limited amount of ...
Today, machine learning boosts malware detection using various kinds of data on host, network and cloud-based anti-malware components. Machine learning:.
Missing: SNIFFER: | Show results with:SNIFFER:
May 31, 2023 · Advanced malware detection is a method of identifying and analysing malicious software that has been designed to evade traditional security measures.
Advanced malware protection is designed to prevent, detect, respond to, and help with the removal of malware such as ransomware and worms from computer systems.
In this survey, we review the key developments in the field of malware detection using AI and analyze core challenges.
Apr 18, 2024 · This survey presents a comprehensive and comparative analysis of recent advancements in the emerging field of intelligent hardware-assisted ...