摘要:人工智能的迅速发展和广泛应用促进了数字技术的整体跃升.然而，基于人工智能技术的智能攻击也逐渐成为一种新型的攻击手段，传统的攻击防护方式已经不能满足安全防护的实际需求.通过预测攻击行为的未来步骤，提前部署针对性的防御措施，可以在智能攻击的对抗中取得先机和优势，有效保护系统安全.首先界定了智能攻击和行为预测的问题域，对相关研究领域进行了概述；然后梳理了面向智能攻击的行为预测的研究方法，对相关工作进行分类和详细介绍；之后，分别阐述了不同种类的预测方法的原理机制，并从特征及适应范围等角度对各个种类的方法做进一步对比和分析；最后，展望了智能攻击行为预测的挑战和未来研究方向.



Abstract:The rapid development and broad application of artificial intelligence have promoted the overall leap in digital technology. However, intelligent attacks based on artificial intelligence technology have gradually become a new type of attack method. Traditional attack protection methods have been far from meeting the requirements of security protection. By predicting the future steps of the attack behavior and deploying targeted defense measures in advance, the opportunities and advantages can be obtained in the confrontation of intelligent attacks and system security is effectively protected. This study first defines the problem domain of behavior-prediction and intelligent attacks and outlines its related research areas. Then it combs the research methods of behavior-prediction for intelligent attacks, and introduces the classification and related work in detail. After that, the principle and mechanism of different types of prediction methods are explained, respectively. Each type's methods are further compared, discussed, and analyzed from the perspective of characteristics and adaptation scope. Finally, the challenges and future directions of intelligent attack behavior-prediction are prospected.



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