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面向智能攻击的行为预测研究

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2024-10-25 16:00

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面向智能攻击的行为预测研究

作者简介:

马钰锡(1995-),男,博士生,主要研究领域为人工智能,强化学习,存储保护.
谭毓安(1972-),男,博士,教授,博士生导师,CCF高级会员,主要研究领域为深度学习及对抗,物联网与嵌入式系统,数据存储安全,Android安全.
张全新(1974-),男,博士,副教授,主要研究领域为人工智能,深度学习,信息安全.
沈蒙(1988-),男,博士,副教授,博士生导师,CCF专业会员,主要研究领域为数据安全与隐私保护,人工智能安全.

基金项目:

国家自然科学基金（61876019，61972039）；北京市自然科学基金（4192050）；北京市科技新星计划（Z201100006820006）；广东省重点领域研发计划（2019B010136001）；之江实验室开放课题（2020AA3AB04）

Research on Behavior-Prediction for Intelligent Attacks

Author:

MA Yu-Xi

School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
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ZHANG Quan-Xin

School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
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TAN Yu-An

School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
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SHEN Meng

School of Cyberspace Security, Beijing Institute of Technology, Beijing 100081, China;Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen 518055, China
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Fund Project:

National Natural Science Foundation of China (61876019, 61972039); Natural Science Foundation of Beijing Municipality (4192050); Beijing Nova Program of Science and Technology (Z201100006820006); Key Research and Development Program of Guangdong Province (2019B010136001); Opening Fund of Zhejiang Lab. (2020AA3AB04)

摘要 | | 访问统计 | 参考文献 [82] | | || 文章评论

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.

引用本文

马钰锡,张全新,谭毓安,沈蒙.面向智能攻击的行为预测研究.软件学报,2021,32(5):1526-1546

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