A comprehensive evaluation approach for efficient countermeasure techniques against timing side-channel attack on MPSoC-based IoT using multi-criteria decision-making methods

被引:10
|
作者
Al-Hchaimi, Ahmed Abbas Jasim [1 ,2 ]
Bin Sulaiman, Nasri [1 ,3 ]
Bin Mustafa, Mohd Amrallah [3 ]
Bin Mohtar, Mohd Nazim [3 ]
Hassan, Siti Lailatul Binti Mohd [4 ]
Muhsen, Yousif Raad [5 ]
机构
[1] Univ Putra Malaysia, Fac Engn, Dept Comp & Embedded Syst Engn, Serdang 43400, Selangor, Malaysia
[2] Southern Tech Univ, ThiQar Tech Coll, Dept Electromech Syst Engn, Basra 6161001, Iraq
[3] Univ Putra Malaysia, Fac Engn, Dept Elect & Elect Engn, Serdang 43400, Selangor, Malaysia
[4] Univ Teknol MARA, Coll Engn, Dept Elect Engn, Shah Alam 40450, Selangor, Malaysia
[5] Univ Wasit, Coll Engn, Ctr Informat Technol, FRXQRC4, Kut, Iraq
关键词
NoC Security; Timing Side -channel Attack; Multi -criteria Decision Making; CRITIC; Fermatean Fuzzy Set (FFS); Multi-Processor System-On-Chip (MPSoC); TOPSIS METHOD; FUZZY; SECURE; PROTECTION; OPERATORS;
D O I
10.1016/j.eij.2023.05.005
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Context: Timing side-channel attack countermeasure techniques (TSCA-CTs) evaluation is a multi-criteria decision-making (MCDM) problem based on different MPSoCs of IoT platform architectures, performance, and design overhead. Therefore, the Fermatean by fuzzy decision opinion score method (F-FDOSM) for prioritizing the powerful countermeasure technique against timing side-channel attack is the best approach because it employs the most efficient MCDM ranking technique. Nonetheless, the FDOSM method needs to weigh the criteria before being submitted for the ranking process. In order to address this theoretical challenge, the Criteria-importance through inter-criteria correlation (CRITIC) technique can be applied as an effective MCDM weighting technique to offer an explicit weight for a set of criteria with no inconsistency based on the standard deviation, which uses correlation analysis to determine the relevance of each criterion.Objectives: This research proposes a Fermatean-FDOSM framework for evaluating TSCA-CTs in the con-text of MPSoCs-based IoT and CRITIC techniques to weight the criteria.Methods: The methodology is presented in three phases. Firstly, a proposed countermeasure techniques dataset was collected that included seven defense approaches (e.g., Gossip and SER router) based on ten criteria (e.g., number of malicious IP cores, number of routers, power, latency... etc.). Then, the decision matrix was built based on an intersection of the countermeasure techniques as an alternative and MPSoC design and performance criteria. Then, the multi-criteria decision-making methods were integrated. The CRITIC method for criteria weighting was followed by the development of the Fermatean-FDOSM method for ranking.Results: (1) CRITIC weighting shows that MPSoC NoC throughput (packet/clock) is the highest weight cri-terion, whereas latency (clock/cycle) is the less weight criterion. (2) The Fermatean-FDOSM-based group ranking shows that the Adaptive routing countermeasure technique is the highest score alternative com-pared to the Combined with separate interface hybrid approach. (3) The TSCA-CTs priority ranks were subjected to a systematic ranking that was confirmed by strong correlation results throughout ten crite-rion weight values. A comparison with recent studies confirmed the feasibility of the proposed frame-work.Conclusion: The outcomes of this study are anticipated to give particular knowledge and direction to those who want to do decision theory-based MPSoCs-based IoT and NoC communication security research.(c) 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Computers and Artificial Intel-ligence, Cairo University. This is an open access article under the CC BY-NC-ND license (http://creative-commons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:351 / 364
页数:14
相关论文
共 50 条
  • [31] Mobile-Based Patient Monitoring Systems: A Prioritisation Framework Using Multi-Criteria Decision-Making Techniques
    Almahdi, E. M.
    Zaidan, A. A.
    Zaidan, B. B.
    Alsalem, M. A.
    Albahri, O. S.
    Albahri, A. S.
    JOURNAL OF MEDICAL SYSTEMS, 2019, 43 (07)
  • [32] Comprehensive evaluation research of hybrid energy systems driven by renewable energy based on fuzzy multi-criteria decision-making
    Chen, Xiangyu
    Chen, Chunsheng
    Tian, Guang
    Yang, Yang
    Zhao, Yunhao
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [33] Towards on Develop a Framework for the Evaluation and Benchmarking of Skin Detectors Based on Artificial Intelligent Models Using Multi-Criteria Decision-Making Techniques
    Yas, Qahtan M.
    Zadain, A. A.
    Zaidan, B. B.
    Lakulu, M. B.
    Rahmatullah, Bahbibi
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2017, 31 (03)
  • [34] Evaluation of groundwater quality indices using multi-criteria decision-making techniques and a fuzzy logic model in an irrigated area
    Abidi, Jamila Hammami
    Elzain, Hussam Eldin
    Sabarathinam, Chidambaram
    Selmane, Tahar
    Selvam, Sekar
    Farhat, Boutheina
    Ben Mammou, Abdallah
    Senapathi, Venkatramanan
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2024, 25
  • [35] Evaluation of the performance of the multi-objective scalarization methods for the aircraft sequencing and scheduling problem using multi-criteria decision-making
    Donmez, Kadir
    AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2023, 95 (04): : 501 - 511
  • [36] Multi-criteria decision-making using interval-valued hesitant fuzzy QUALIFLEX methods based on a likelihood-based comparison approach
    Zhang, Zhiming
    NEURAL COMPUTING & APPLICATIONS, 2017, 28 (07): : 1835 - 1854
  • [37] Multi-criteria decision-making using interval-valued hesitant fuzzy QUALIFLEX methods based on a likelihood-based comparison approach
    Zhiming Zhang
    Neural Computing and Applications, 2017, 28 : 1835 - 1854
  • [38] An integrated multi-criteria group decision-making approach to efficient supplier selection and clustering using fuzzy preference relations
    Ertay, T.
    Kahveci, A.
    Tabanli, R. M.
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2011, 24 (12) : 1152 - 1167
  • [39] A hybrid entropy-based economic evaluation of hydrogen generation techniques using Multi-Criteria Decision Making
    Alamri, Faten S.
    Saeed, Muhammad Haris
    Saeed, Muhammad
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 49 : 711 - 723
  • [40] Evaluation of the performance of bearing materials using distance-based fuzzy multi-criteria decision-making process
    Bhattacharya, S.
    Sarkar, B.
    Mukherjee, R.N.
    International Journal of Manufacturing Technology and Management, 2009, 18 (03) : 293 - 299