Improvement of malware detection and classification using API call sequence alignment and visualization
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DOI: 10.1007/s10586-017-1110-2
Abstract: Conventional malware detection technologies have the limitation to detect malware because recent malware uses a variety of the avoidance techniques such as obfuscation, packing, anti-virtualization, anti-emulation, encapsulation technology in order to evade the detection of… read more here.
Keywords: malware detection; detection; api call; detection classification ... See more keywords
Contextual Identification of Windows Malware through Semantic Interpretation of API Call Sequence
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DOI: 10.3390/app10217673
Abstract: The proper interpretation of the malware API call sequence plays a crucial role in identifying its malicious intent. Moreover, there is a necessity to characterize smart malware mimicry activities that resemble goodware programs. Those types… read more here.
Keywords: interpretation; windows malware; api call; malware ... See more keywords
Dynamic Malware Analysis Based on API Sequence Semantic Fusion
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DOI: 10.3390/app13116526
Abstract: The existing dynamic malware detection methods based on API call sequences ignore the semantic information of functions. Simply mapping API to numerical values does not reflect whether a function has performed a query or modification… read more here.
Keywords: dynamic malware; based api; api call; sequence ... See more keywords