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In this work, we propose SigMal, a fast and precise malware detection framework based on signal processing techniques. ...
SigMal improves the state-of-the-art by leveraging techniques borrowed from signal processing to extract noiseresistant similarity signatures from the samples. ...
In this paper, we propose SigMal, a fast and precise signal processing-based malware similarity detection technique suitable for a large-scale malware triage. ...
doi:10.1145/2523649.2523682
dblp:conf/acsac/KiratNVM13
fatcat:jmroaqsudnhc3gwfg55scise2y
Malware triage for early identification of Advanced Persistent Threat activities
[article]
2018
arXiv
pre-print
In our previous work we introduced a "malware triage" step for a semi-automatic malware analysis architecture. ...
Our paper focuses on malware developed by APTs, and we build our knowledge base, used in the triage, on known APTs obtained from publicly available reports. ...
signal processing techniques to extract noiseresistant signatures from the samples. ...
arXiv:1810.07321v1
fatcat:nz6mnmsuvzegfgrg4cjc4srkuq
Malware triage for early identification of Advanced Persistent Threat activities
2020
Digital Threats: Research and Practice
Recently, a malware triage step for a semi-automatic malware analysis architecture has been introduced. ...
For efficiency reasons, they rely on static malware features, extracted with negligible delay, and use machine learning techniques for the identification. ...
Another fast and precise malware analysis framework is SigMal [9] , a framework improving the state-of-the-art of the previous systems based on the concept of malware similarity by leveraging signal processing ...
doi:10.1145/3386581
fatcat:6bbblwjztnhhfn4zl2wwl66s2q
A Survey on Threat Situation Awareness Systems: Framework, Techniques, and Insights
[article]
2021
arXiv
pre-print
and devising a plan to avoid further attacks. ...
This paper provides a comprehensive study on the current state-of-the-art in the cyber SA to discuss the following aspects of SA: key design principles, framework, classifications, data collection, and ...
was supported by the Cyber Security Research Programme-"Artificial Intelligence for Automating Response to Threats" from the Ministry of Business, Innovation, and Employment (MBIE) of New Zealand as a ...
arXiv:2110.15747v1
fatcat:zboddcg4a5gdxmq5hqmo5cpj34
A Survey on Cyber Situation Awareness Systems: Framework, Techniques, and Insights
2022
ACM Computing Surveys
, and devising a plan to avoid further attacks. ...
To debilitate these types of threats, a modern and intelligent Cyber Situation Awareness (SA) system needs to be developed which has the ability of monitoring and capturing various types of threats, analyzing ...
was supported by the Cyber Security Research Programme-"Artificial Intelligence for Automating Response to Threats" from the Ministry of Business, Innovation, and Employment (MBIE) of New Zealand as a ...
doi:10.1145/3530809
fatcat:cwk5bp56ere5re2frzgzox56ka