Towards cognitive security systems

W. Kinsner
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引用次数: 25

Abstract

This talk addresses the changing world of security systems, and a possible approach to their improvement. Since the scientific, technical, industrial, business, and social worlds have changed from physically isolated systems to electronically interconnected system-of-systems (SoS), the functioning of such a SoS depends critically on its operational robustness and security. In the previous physically-isolated world, robust static security for selected matched problems was often sufficient. Today, we need a new approach to providing security, because even adaptive security is insufficient. This new approach is termed here a cognitive security system. The talk will cover three major issues. First, the talk starts from a review of the existing security systems, with their problems and required solutions, as well as their vulnerabilities, attacks, and defences. Second, it provides a review of decision-making systems, including dynamic and dynamical systems, complex systems, adaptive systems, autonomic systems and their attributes, symbiotic systems, and finally special attention is given to cognitive dynamic systems as defined by Wang's cognitive informatics [1-4], Kinsner cognitive machines, [5], Haikonen conscious machines [6], and Haykin cognitive dynamic systems [7]. This review ends with a model of cognitive security system. This model has a feature based on polyscale analysis and synthesis never reported before. Finally, examples of security-related cognitive static and dynamic systems developed in our research group are presented, including wavelet-packet fingerprint compression for data mining, watermarking and steganography, a new chaotic cryptography system, and new polyscale analysis for SmartGrid2.
走向认知安全系统
本次演讲将讨论不断变化的安全系统世界,以及改进安全系统的可能方法。由于科学、技术、工业、商业和社会世界已经从物理隔离的系统转变为电子互联的系统的系统(so),这些系统的功能严重依赖于其操作的健壮性和安全性。在以前物理隔离的世界中,对于选定的匹配问题,健壮的静态安全性通常就足够了。今天,我们需要一种新的方法来提供安全性,因为即使是自适应安全性也是不够的。这种新方法在这里被称为认知安全系统。这次谈话将涉及三个主要问题。首先,演讲从现有安全系统的回顾开始,包括它们的问题和需要的解决方案,以及它们的弱点、攻击和防御。其次,回顾了决策系统,包括动态和动态系统、复杂系统、自适应系统、自主系统及其属性、共生系统,最后特别关注了认知动态系统,如Wang的认知信息学[1-4]、Kinsner认知机器[5]、Haikonen意识机器[6]和Haykin认知动态系统[7]。本文以认知安全系统模型作为结束语。该模型具有以前从未报道过的基于多尺度分析和综合的特征。最后,介绍了我们研究小组开发的与安全相关的认知静态和动态系统的示例,包括用于数据挖掘的小波包指纹压缩、水印和隐写、一种新的混沌密码系统以及用于smartgrid的新的多尺度分析2。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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