Farhan Mahmood Babar

 

Date: Wednesday August 21, 2019

Time:  10:00 AM – 12:00 PM

Location: Essex Hall Room 122

 

Advancement in computing technologies made malware development easier for malware authors. Unconventional computing paradigms such as cloud computing, the internet of things, In-memory computing, etc. introduced new ways to develop more complex and effective malware. We argue that the current state-of-the-art malware detection techniques are not effective against the new classes of unconventional and emerging malware. In our work, we show that by utilizing the unique characteristics of emerging technologies, malware attacks could easily deceive the anti-malware tools and evade themselves from detection. This clearly demonstrates the need for innovative and effective detection mechanism. In our research, we propose the use of a hybrid approach by combining specification-based and behavioral analysis techniques as an effective approach against unconventional and emerging malware instances.

 

Thesis Committee: 

 

 

Thesis Proposal Announcement

 

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