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Big Data for CyberSecurity

A key concern in today’s Internet is the threat of cybercrime. Cybercrimes on the Web use different types of malware and fraud for various purposes such as financial theft, espionage, copyright infringement, denial of service and cyber-warfare. They spread using different protocols such as HTTP or HTTPS, links in email or IM, IRC, malware attachments, and phishing attacks. This cyber threat landscape, often controlled by organized crime and nation states, has been evolving rapidly and is becoming more evasive and difficult to detect. They often make use of multiple infection mechanisms to take control of machines and make them part of botnets, which can then be utilized to perpetrate other kinds of attacks such as data leakage and denial of service attacks. As threats blend across diverse data channels, their detection requires scalable distributed monitoring and cross-correlation with a substantial amount of contextual information. Conventional methods of protecting against cyber attacks such as signature-based detection and firewalls have become less effective.

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