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- W4220782023 abstract "Cyberattacks have grown to a much greater extent in the decades. According to statistics in the year of 2009, 12.4 million attacks were recorded, and recently, in 2018, it has raised up to 812.67 million known cases. To be told, these are only the known cases, and there are many which are unrecorded. Ranging from small cyberattack to large ransomware attacks or to a combination of several sophisticated cyberattacks which consists of advanced exploitation techniques and persistence capability for a long-term intrusion campaigns. However, the common part among all the cyberattacks that have happened so far was the use of malware . To mitigate these attacks, we have to understand the basic structure of malware, working features, and its effects upon the target. This paper provides an in-depth overview on malware types, by analyzing the malware via a process called malware analysis, and other related processes depending on the type of malware. It is actually the process which is conducted just after digital forensics and incident response (DFIR). It is the process of detection of malware and malware infection in a particular host or network. After getting any sort of suspicious file or malware, malware analysis is done. Although this paper does not focus on DFIR , it does focus on malware and different well known mechanisms of malware." @default.
- W4220782023 created "2022-04-03" @default.
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- W4220782023 date "2022-03-27" @default.
- W4220782023 modified "2023-10-12" @default.
- W4220782023 title "Malware Identification, Analysis and Similarity" @default.
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- W4220782023 doi "https://doi.org/10.1002/9781119812555.ch3" @default.
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