论文标题
灵丹妙药威胁情报和主动防御平台
The Panacea Threat Intelligence and Active Defense Platform
论文作者
论文摘要
我们描述了灵丹妙药,这是一个支持自然语言处理(NLP)组件的系统,以防止社会工程攻击。我们部署了人类语言技术的管道,包括询问和框架检测,指定的实体识别,对话工程和样式测定法。灵丹妙药通过插入式体系结构来处理现代消息格式,以适应创新的方法,以进行消息分析,知识表示和对话生成。灵丹妙药系统的新颖性是使用NLP进行网络防御,并使用机器人与攻击者一起吸引攻击者,以引起证据归因于攻击者并浪费攻击者的时间和资源。
We describe Panacea, a system that supports natural language processing (NLP) components for active defenses against social engineering attacks. We deploy a pipeline of human language technology, including Ask and Framing Detection, Named Entity Recognition, Dialogue Engineering, and Stylometry. Panacea processes modern message formats through a plug-in architecture to accommodate innovative approaches for message analysis, knowledge representation and dialogue generation. The novelty of the Panacea system is that uses NLP for cyber defense and engages the attacker using bots to elicit evidence to attribute to the attacker and to waste the attacker's time and resources.