A multi-channel cybersecurity news and threat intelligent engine - SecBuzzer

A multi-channel cybersecurity news and threat intelligent engine - SecBuzzer

연구 분야: Safety

학회: ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Cyber threat such as malware and exploit have causes significant losses to the economy and has become a lucrative form of illicit business by leveraging the darkweb as a communication channel. To understand more about the emerging cyber threats of attacking tools and its actors, a threat intelligence collecting mechanism is proposed for identifying the emerging threat. With crowdsourcing intelligence and public threat intelligence such as NVD and CERT, it is able to leverage multiple sources of information and provide domain-specific security intelligence. In addition, we propose a network-based darkweb cyberthreat alert model, which can well represent and visualize actors' similarity and thus uncover the vulnerable vendor (organization) exposed in the underground markets.