Classification of Malware Using Visualisation of Similarity Matrices
Malicious software (malware) attacks are on the rise with the explosion of Internet of Things (IoT) worldwide. With the proliferation of Big Data, it becomes a time consuming process to use various automatic approaches and techniques that are available to detect and capture malware thoroughly. Visualisation techniques can support the malware analysis process for performing the similarity comparisons and summarisation of possible malware in such Big Data contexts. In this paper, we design a...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings - 2017 Cybersecurity and Cyberforensics Conference, CCC 2017|
|01_Venkatraman+_Classification_of_Malware_2017.pdf||193.48 kB||Adobe PDF||Request a copy|
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