首页|基于模糊逻辑的物联网流量攻击检测技术综述

基于模糊逻辑的物联网流量攻击检测技术综述

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物联网越来越多地出现在日常活动中,将我们周围多样化的物理设备连接到互联网,奠定了智慧城市、电子健康、精准农业等应用的基础.随着物联网应用的迅速普及,针对这类设备和服务的网络攻击数量也有所增加,且这些攻击具有不精确性和不确定性,使得对其进行正确检测和识别更加困难.为了应对上述挑战,学者们引入了基于模糊逻辑的攻击检测框架,在各种操作步骤中结合不同的模糊技术,以便在数据不准确和不确定时更精确地检测网络攻击.文中首先对物联网的安全性进行了详细的探讨,如其应对的安全挑战、所需的安全要求、面临的攻击类型等;其次对入侵检测系统(Intrusion Detection Systems,IDS)进行了描述,进而简述了物联网中IDS的基础框架;然后阐述了模糊逻辑的技术原理,分析了将其应用在流量攻击检测中的合理性;接着比较了各种基于不同技术的流量攻击检测方案,以说明它们在该领域的性能和重要性;最后总结了本文的主要工作,指出了未来的研究方向,为该领域的研究者提供了新的视角,以更好地应对不断升级的网络攻击.
Overview of IoT Traffic Attack Detection Technology Based on Fuzzy Logic
The Internet of things(IoT)is progressively permeating our daily activities,interconnecting an array of diverse physi-cal devices to the Internet.This foundational connectivity underpins applications spanning smart cities,e-health,precision agricul-ture,and beyond.The swift proliferation of IoT applications,however,has been paralleled by an upsurge in the frequency of net-work attacks targeting these devices and services.The complex and dynamic nature of these attacks,coupled with their impre-cision and uncertainty,has significantly compounded the intricacies of accurate detection and identification.In response to these exigencies,a novel approach has emerged in the form of fuzzy logic-based attack detection frameworks.These frameworks strate-gically integrate varied fuzzy techniques throughout diverse operational phases to facilitate heightened precision in the detection of network attacks,particularly in instances characterized by data inaccuracy and uncertainty.Within the expanse of this comprehen-sive survey paper,a meticulous exposition unfolds.It commences by delving deeply into the realm of IoT security,dissecting its multifaceted dimensions,such as the security challenges it responds to,the required security requirements,and the types of at-tacks it faces.Subsequently,it offers a detailed portrayal of intrusion detection systems(IDS)and further encapsulates the founda-tional framework of IDS within the IoT domain.The foundational tenets of fuzzy logic are subsequently expounded upon,followed by a discerning analysis of the rational underpinning the integration of fuzzy logic in traffic attack detection.In subsequent sec-tions,a discerning comparative analysis of diverse traffic attack detection schemes,grounded in disparate technological methodolo-gies,is meticulously presented.This analytical elucidation underscores their respective performance metrics and,by extension,their pivotal significance within this burgeoning sphere.Finally,the synthesis of the principal contributions encapsulated within this paper is meticulously articulated,concurrently outlining pathways for future research.These nascent trajectories are expected to provide researchers with new perspectives and enrich the academic discourse to mitigate escalating cyberattacks.

Fuzzy logicInternet of thingsAttack detectionTrafficNetwork security

商钰玲、李鹏、朱枫、王汝传

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南京邮电大学计算机学院 南京 210023

南京邮电大学网络安全与可信计算研究所 南京 210023

模糊逻辑 物联网 攻击检测 流量 网络安全

国家自然科学基金江苏省六大人才高峰高层次人才项目

62102196RJFW-111

2024

计算机科学
重庆西南信息有限公司(原科技部西南信息中心)

计算机科学

CSTPCD北大核心
影响因子:0.944
ISSN:1002-137X
年,卷(期):2024.51(3)
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