Parallel security:generative adversarial systems for intelligent security in CPSS

Yidong LI; Jun ZHANG; Yaodong TAO; Wei WANG; Yuanxiang GU; Fei-Yue WANG

doi:10.11959/j.issn.2096-6652.202022

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Parallel security:generative adversarial systems for intelligent security in CPSS

Regular Papers | 更新时间：2024-06-05

- Parallel security:generative adversarial systems for intelligent security in CPSS
- Chinese Journal of Intelligent Science and Technology Vol. 2, Issue 2, Pages: 194-202(2020)
- 作者机构：
  
  1. 北京交通大学，北京 100044
  2. 中国科学院自动化研究所，北京 100190
  3. 武汉大学，湖北武汉 430000
  4. 爱迪德公司，加拿大渥太华 K2T1G5
  5. 中国科学院大学，北京 100049
  6. 青岛智能产业技术研究院，山东青岛 266109
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-6652.202022
  CLC： TP309.2
- Published Online：2020-06，
  
  Published：20 June 2020
- 稿件说明：
移动端阅览
Yidong LI, Jun ZHANG, Yaodong TAO, et al. Parallel security:generative adversarial systems for intelligent security in CPSS[J]. Chinese journal of intelligent science and technology, 2020, 2(2): 194-202.
DOI：

Yidong LI, Jun ZHANG, Yaodong TAO, et al. Parallel security:generative adversarial systems for intelligent security in CPSS[J]. Chinese journal of intelligent science and technology, 2020, 2(2): 194-202. DOI： 10.11959/j.issn.2096-6652.202022.

摘要

人工智能、大数据等新一代信息技术的兴起使网络空间安全面临的威胁与挑战进一步复杂化。传统防御技术多采用“打补丁”式的被动检测防护机制，很难满足由新的攻击特征带来的安全防护需求。首次系统性地提出以平行智能ACP理论为基础思想的平行安全系统框架，利用生成式对抗模型、平行情报、平行区块链等方法，融入社会学、心理学和行为学等因素，建立了集描述性安全、预测性安全和引导性安全于一体的防护体系，旨在实现以“增强免疫力”为目标的预测引导防护。以工业互联网典型场景为实际案例，设计并研发了首个以平行安全框架为基础的生成式对抗安全智能系统平台，从而为平行安全在不同领域的实际应用提供指导和借鉴。

Abstract

Developing technologies such as AI and big data are changing the landscape of cybercrime for both attackers and defenders.Traditional defense technology mainly use the passive detect-then-defend model

which is hard to meet the security protection requirements brought by new attack characteristics.A novel security framework

named parallel security was proposed

which aimed at providing a comprehensive solution with descriptive security

predictive security and prescriptive security.The main idea was based on the ACP theory of parallel intelligent

and integrated new methods such as generative adversarial leaning model

parallel blockchain.Human elements

sociology and psychology were taken as an important component in the framework

in order to enhance the immunity of the system.In addition

a parallel security based platform was design and developed for several typical scenarios in the field of industrial internet as a proof of concept.

关键词

Keywords

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Related Institution

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