Cyber Threat Intelligence and Analytics: Cyber attack triage is among most complicated and time-consuming tasks of security analysts. These triage activities are mainly focused on analyzing malware, exploit-kits and other attack payloads for timely identification of attack payloads (i.e. the malware). AI has a lot to offer to cyber threat triage and may significantly reduce the required time and resources to respond to an incident. Cyber Science Lab built a number of unique datasets for AI-Aided cyber threat triage as lack of suitable security datasets for AI tasks is among most important barriers in advancing research in this field. CSL has contributed to several researches for AI-aided Malware Analysis, Ransomware Analysis, AI-aided threat attribution and Cyber Threat Analytics.

Machine learning aided Android malware classification
Machine learning aided Android malware classification Abstract: The widespread adoption of Android devices and their capability to access significant private
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M0Droid: An Android Behavioral-Based Malware Detection Model
M0Droid: An Android Behavioral-Based Malware Detection Model Abstract:Anti-mobile malware has attracted the attention of the research and security community in
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