Automatic detection and analysis towards malicious behavior in IoT malware

Our society is rapidly moving towards the digital age, which has led to a sharp increase in IoT networks and devices. This growth requires more network security professionals, who are focused on protecting IoT systems. One crucial task is to analyze malicious software to gain a deeper understanding...

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Bibliographic Details
Main Authors: LI, Sen, GE, Mengmeng, FENG, Ruitao, LI, Xiaohong, LAM, Kwok Yan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8701
https://ink.library.smu.edu.sg/context/sis_research/article/9704/viewcontent/AutomaticDetection_IoT_av.pdf
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Institution: Singapore Management University
Language: English