{"title":"Probabilistic models for evaluating network edge's resistance against scan and foothold attack","authors":"Shuo Wang, Qingqi Pei, Yang Xiao, Feng Shao, Shuai Yuan, Jiang Chu, Renjie Liao","doi":"10.1049/cmu2.12774","DOIUrl":null,"url":null,"abstract":"The threat of Scan and Foothold Attack to the Network Edge (SFANE) is increasing, which greatly affects the application and development of edge computing network architecture. However, existing works focus on the implementation of specific technologies that resist the SFANE but ignore the effectiveness analysis of them. To overcome this limitation, this paper constructs probabilistic models for evaluating network edge's resistance against SFANE. In particular, the attacker models of the SFANE based on the ATT&CK model are first formalized. Afterward, according to the state‐of‐the‐art defense technologies, three different defense strategies are illustrated: no defense, address mutation, and fingerprint decoy. Subsequently, three different probabilistic models are constructed to provide a deeper analysis of the theoretical effect of these strategies on resisting the SFANE. Finally, the experimental results show that the actual defense effect of each strategy almost perfectly follows its probabilistic model.","PeriodicalId":55001,"journal":{"name":"IET Communications","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Communications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1049/cmu2.12774","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The threat of Scan and Foothold Attack to the Network Edge (SFANE) is increasing, which greatly affects the application and development of edge computing network architecture. However, existing works focus on the implementation of specific technologies that resist the SFANE but ignore the effectiveness analysis of them. To overcome this limitation, this paper constructs probabilistic models for evaluating network edge's resistance against SFANE. In particular, the attacker models of the SFANE based on the ATT&CK model are first formalized. Afterward, according to the state‐of‐the‐art defense technologies, three different defense strategies are illustrated: no defense, address mutation, and fingerprint decoy. Subsequently, three different probabilistic models are constructed to provide a deeper analysis of the theoretical effect of these strategies on resisting the SFANE. Finally, the experimental results show that the actual defense effect of each strategy almost perfectly follows its probabilistic model.
期刊介绍:
IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth.
Topics include, but are not limited to:
Coding and Communication Theory;
Modulation and Signal Design;
Wired, Wireless and Optical Communication;
Communication System
Special Issues. Current Call for Papers:
Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf
UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf