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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...
This paper presents and analyzes a selection of 21 “myths” identified from the authors' experience as being the most common in power utilities and the most harmful to their cybersecurity posture. For each one, tangible and referenced elements, typically sparse and dispersed, are presented in this single and up-to-date reference to support their rationalization. This paper also provides generic recommendations...
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