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Authors of malicious software, or malware, have a plethora of options when deciding how to protect their code from network defenders and malware analysts. For many static analyses, malware authors do not even need sophisticated obfuscation techniques to bypass detection, simply compiling with different flags or with a different compiler will suffice. We propose a new static analysis called CARDINAL...
This research aims to examine the effectiveness and efficiency of fuzzing hashing algorithm in the identification of similarities in Malware Analysis. More precisely, it will present the benefit of using fuzzy hashing algorithms, such as ssdeep, sdhash, mvHash and mrsh – v2, in identifying similarities in Malware domain. The obtained results will be compared with the traditional and most common Cryptographic...
Dynamic taint analysis and forward symbolic execution are quickly becoming staple techniques in security analyses. Example applications of dynamic taint analysis and forward symbolic execution include malware analysis, input filter generation, test case generation, and vulnerability discovery. Despite the widespread usage of these two techniques, there has been little effort to formally define the...
Enterprise information infrastructures are generally characterized by a multitude of information systems which support decision makers in fulfilling their duties. The object of information security management is the protection of these systems, whereas security information and event management (SIEM) addresses those information management tasks which focus on the short term handling of events, as...
Many peer-to-peer networks are used to share different types of files. These files could be damaged, contain false content or even include malware. To be able to choose the right peers, the requesting peer needs to assess the trustworthiness of the requested peer. Embedded trust algorithms enable the requesting peers to perform this assessment without the continuous involvement of human users. Requesting...
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