多通道网络安全新闻和威胁智能引擎——SecBuzzer

Shin-Ying Huang, Yennun Huang, Ching-Hao Mao
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引用次数: 2

摘要

恶意软件和漏洞利用等网络威胁给经济造成了重大损失,并已成为利用暗网作为沟通渠道的一种有利可图的非法业务形式。为了更好地了解新出现的网络威胁的攻击工具及其参与者,提出了一种威胁情报收集机制来识别新出现的威胁。通过众包情报和公共威胁情报(如NVD和CERT),它能够利用多个信息来源并提供特定领域的安全情报。此外,我们提出了一种基于网络的暗网网络威胁预警模型,该模型可以很好地表示和可视化参与者的相似性,从而发现暴露在地下市场中的脆弱供应商(组织)。
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A multi-channel cybersecurity news and threat intelligent engine - SecBuzzer
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.
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