Computer Science

Computer Science ›› 2024, Vol. 51 ›› Issue (3): 3-13.doi: 10.11896/jsjkx.230700130

• Information Security Protection in New Computing Mode • Previous Articles     Next Articles

Overview of IoT Traffic Attack Detection Technology Based on Fuzzy Logic

SHANG Yuling1, LI Peng1,2, ZHU Feng1, WANG Ruchuan1,2   

  1. 1 College of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
    2 Institute of Network Security and Trusted Computing,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
  • Received:2023-07-18 Revised:2023-11-28 Online:2024-03-15 Published:2024-03-13
  • About author:SHANG Yuling,born in 1999,postgraguate.Her main research interests include cyberspace security and Internet of things technology.LI Peng,born in 1979,Ph.D,professor,Ph.D supervisor,is a member of CCF(No.48573M).His main research interests include computer communication networks,cloud computing and information security.
  • Supported by:
    National Natural Science Foundation of China(62102196) and Six Talent Peaks Project of Jiangsu Province(RJFW-111).

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Abstract: The Internet of things(IoT) is progressively permeating our daily activities,interconnecting an array of diverse physical devices to the Internet.This foundational connectivity underpins applications spanning smart cities,e-health,precision agriculture,and beyond.The swift proliferation of IoT applications,however,has been paralleled by an upsurge in the frequency of network attacks targeting these devices and services.The complex and dynamic nature of these attacks,coupled with their imprecision 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 strategically 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 comprehensive 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 attacks it faces.Subsequently,it offers a detailed portrayal of intrusion detection systems(IDS) and further encapsulates the foundational 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 sections,a discerning comparative analysis of diverse traffic attack detection schemes,grounded in disparate technological methodologies,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.

Key words: Fuzzy logic, Internet of things, Attack detection, Traffic, Network security

CLC Number: 

  • TP311
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