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:13
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 75 条
  • [1] Parametric Study and Optimization of End-Milling Operation of AISI 1522H Steel Using Definitive Screening Design and Multi-Criteria Decision-Making Approach
    Abas, Muhammad
    Alkahtani, Mohammed
    Khalid, Qazi Salman
    Hussain, Ghulam
    Abidi, Mustufa Haider
    Buhl, Johannes
    [J]. MATERIALS, 2022, 15 (12)
  • [2] A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria decision analysis methods
    Abdulkareem, Karrar Hameed
    Arbaiy, Nureize
    Zaidan, A. A.
    Zaidan, B. B.
    Albahri, O. S.
    Alsalem, M. A.
    Salih, Mahmood M.
    [J]. NEURAL COMPUTING & APPLICATIONS, 2021, 33 (04) : 1029 - 1054
  • [3] Al-Hchaimi A.A.J., 2021, P ASIA PACIFIC C POS, P17, DOI [10.1109/PRIMEASIA51450.2021.9701472, DOI 10.1109/PRIMEASIA51450.2021.9701472]
  • [4] Evaluation Approach for Efficient Countermeasure Techniques Against Denial-of-Service Attack on MPSoC-Based IoT Using Multi-Criteria Decision-Making
    Al-Hchaimi, Ahmed Abbas Jasim
    Bin Sulaiman, Nasri
    Bin Mustafa, Mohd Amrallah
    Bin Mohtar, Mohd Nazim
    Hassan, Siti Lailatul Binti Mohd
    Muhsen, Yousif Raad
    [J]. IEEE ACCESS, 2023, 11 : 89 - 106
  • [5] A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems
    Al-Samarraay, Mohammed S.
    Salih, Mahmood M.
    Ahmed, Mohamed A.
    Zaidan, A. A.
    Albahri, O. S.
    Pamucar, Dragan
    AlSattar, H. A.
    Alamoodi, A. H.
    Zaidan, B. B.
    Dawood, Kareem
    Albahri, A. S.
    [J]. NEURAL COMPUTING & APPLICATIONS, 2022, 34 (06) : 4937 - 4955
  • [6] Extension of interval-valued Pythagorean FDOSM for evaluating and benchmarking real-time SLRSs based on multidimensional criteria of hand gesture recognition and sensor glove perspectives
    Al-Samarraay, Mohammed S.
    Zaidan, A. A.
    Albahri, O. S.
    Pamucar, Dragan
    AlSattar, H. A.
    Alamoodi, A. H.
    Zaidan, B. B.
    Albahri, A. S.
    [J]. APPLIED SOFT COMPUTING, 2022, 116
  • [7] Based on neutrosophic fuzzy environment: a new development of FWZIC and FDOSM for benchmarking smart e-tourism applications
    Alamoodi, A. H.
    Mohammed, R. T.
    Albahri, O. S.
    Qahtan, Sarah
    Zaidan, A. A.
    Alsattar, H. A.
    Albahri, A. S.
    Aickelin, Uwe
    Zaidan, B. B.
    Baqer, M. J.
    Jasim, Ali Najm
    [J]. COMPLEX & INTELLIGENT SYSTEMS, 2022, 8 (04) : 3479 - 3503
  • [8] Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses
    Albahri, A. S.
    Albahri, O. S.
    Zaidan, A. A.
    Alnoor, Alhamzah
    Alsattar, H. A.
    Mohammed, Rawia
    Alamoodi, A. H.
    Zaidan, B. B.
    Aickelin, Uwe
    Alazab, Mamoun
    Garfan, Salem
    Ahmaro, Ibraheem Y. Y.
    Ahmed, M. A.
    [J]. COMPUTER STANDARDS & INTERFACES, 2022, 80
  • [9] Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients
    Albahri, O. S.
    Zaidan, A. A.
    Albahri, A. S.
    Alsattar, H. A.
    Mohammed, Rawia
    Aickelin, Uwe
    Kou, Gang
    Jumaah, FM.
    Salih, Mahmood M.
    Alamoodi, A. H.
    Zaidan, B. B.
    Alazab, Mamoun
    Alnoor, Alhamzah
    Al-Obaidi, Jameel R.
    [J]. JOURNAL OF ADVANCED RESEARCH, 2022, 37 : 147 - 168
  • [10] Multidimensional benchmarking of the active queue management methods of network congestion control based on extension of fuzzy decision by opinion score method
    Albahri, Osamah Shihab
    Zaidan, Aws Alaa
    Salih, Mahmood M.
    Zaidan, Bilal Bahaa
    Khatari, Maimuna A.
    Ahmed, Mohamed A.
    Albahri, Ahmed Shihab
    Alazab, Mamoun
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 36 (02) : 796 - 831