Temporal Logic-Based Artificial Immune System for Intrusion Detection

Author:

Chen Xiyue12ORCID,Pang Jianmin2ORCID

Affiliation:

1. Department of Archives, Zhengzhou University, Zhengzhou 450000, China

2. State Key Laboratory of Mathematics Engineering and Advanced Computing of China, Zhengzhou 450000, China

Abstract

Artificial immune system has made many contributions to network security areas, but there are still problems of insufficient detection range and high time cost. This paper presents a Hybrid Detector (HD) mechanism in which temporal logic antigens are proposed. The HD mechanism is constructed by using the advantage of temporal logic to describe time-varying behaviors in system. Finally, simulation experiments were carried out on KDD99 and NSL-KDD datasets. Experimental results show that the proposed method can extend the detection range and improve the detection rate. This work proves the possibility of applying temporal logic to AIS system.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference50 articles.

1. Self-nonself discrimination in a computer

2. Architecture for an Artificial Immune System

3. Learning using an artificial immune system

4. MoszkowskiB.Reasoning about digital circuits, [Ph.D. thesis]1983Stanford, CA, USADepartment of Computer Science, Stanford University

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fault detection in beam structure using adaptive immune based approach;Frattura ed Integrità Strutturale;2023-12-17

2. Hybridization of Artificial Immune System Algorithms with Other AI Algorithms: A Review;2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS);2023-11-01

3. Retracted: Temporal Logic-Based Artificial Immune System for Intrusion Detection;Wireless Communications and Mobile Computing;2023-07-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3