Next-generation malware will adopt self-mutation to circumvent current malware detection techniques. The authors propose a strategy based on code normalization that reduces different instances of the same malware into a common form that can enable accurate detection.
Recognizing self-mutating malware by code normalization and control-flow graph analysis / D. Bruschi, L. Martignoni, M. Monga. - In: IEEE SECURITY & PRIVACY. - ISSN 1540-7993. - 5:2(2007 Mar), pp. 46-54. [10.1109/MSP.2007.31]
Recognizing self-mutating malware by code normalization and control-flow graph analysis
D. BruschiPrimo
;L. MartignoniSecondo
;M. MongaUltimo
2007
Abstract
Next-generation malware will adopt self-mutation to circumvent current malware detection techniques. The authors propose a strategy based on code normalization that reduces different instances of the same malware into a common form that can enable accurate detection.
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