Coordinated Defense of Distributed Denial of Service Attacks against the Multi-Area Load Frequency Control Services

被引:11
|
作者
Wang, Qi [1 ]
Tai, Wei [1 ]
Tang, Yi [1 ]
Zhu, Hong [2 ]
Zhang, Ming [2 ]
Zhou, Dongxu [2 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210000, Jiangsu, Peoples R China
[2] State Grid Nanjing Power Supply Co, Nanjing 210000, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
distributed denial of service; co-simulation platform; load frequency control; coordinated defense; DDOS ATTACKS; CYBER; VULNERABILITY; FRAMEWORK; SECURITY; DOS;
D O I
10.3390/en12132493
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the application of information and communication technology (ICT), the modern power system has gradually been updated to a typical cyber physical power system (CPPS). The deployment of distributed measurement devices enriches the application range of power communication services. However, due to the easy accessibility of distributed devices, it also creates favorable conditions for distributed denial-of-service (DDoS) attacks. In this paper, we focus on the security performance and defense strategies of the CPPS against DDoS attacks. In order to construct a coordinated defense in the power and information space, the cyber-attack process with a complete data flow of the CPPS needs to be described precisely. Therefore, a co-simulation technology-based platform is utilized to coordinate various layers in the CPPS and provide a unified research tool for the attack-defense test. On this basis, OPNET is used to replicate DDoS attacks in the information layer. Then, through the load frequency control (LFC) service of a multi-area interconnected power system, the influence of delays resulting from attacks on the control effect of the power layer is analyzed. Finally, to cope with the attack effects in both layers, detection measures of information and recovery measures of power quality are coordinated to eliminate attack consequences. Therefore, the stable operation of power services can be enabled.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Defense and Monitoring Model for Distributed Denial of Service Attacks
    Tariq, Usman
    Malik, Yasir
    Abdulrazak, Bessam
    [J]. ANT 2012 AND MOBIWIS 2012, 2012, 10 : 1052 - 1056
  • [22] Distributed Model Predictive Load Frequency Control of Multi-area Power System with DFIGs
    Yi Zhang
    Xiangjie Liu
    Bin Qu
    [J]. IEEE/CAA Journal of Automatica Sinica, 2017, 4 (01) : 125 - 135
  • [23] Distributed Secure Estimation Against Unknown FDI Attacks and Load Deviation in Multi-Area Power Systems
    Weng, Shiqing
    Weng, Pindi
    Chen, Bo
    Liu, Shichao
    Yu, Li
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (06) : 3007 - 3011
  • [24] Distributed model predictive load frequency control of multi-area interconnected power system
    Ma, Miaomiao
    Chen, Hong
    Liu, Xiangjie
    Allgoewer, Frank
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 62 : 289 - 298
  • [25] Distributed Model Predictive Load Frequency Control of Multi-area Power System with DFIGs
    Zhang, Yi
    Liu, Xiangjie
    Qu, Bin
    [J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2017, 4 (01) : 125 - 135
  • [26] Countermeasures against Distributed Denial of Service attacks
    Stefanidis, K.
    Serpanos, D. N.
    [J]. 2005 IEEE INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS, 2005, : 439 - 442
  • [27] On the defense of the distributed denial of service attacks: An on-off feedback control approach
    Xiong, Y
    Liu, S
    Sun, P
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2001, 31 (04): : 282 - 293
  • [28] Distributed model predictive load frequency control of a multi-area power system considering controllable load
    Fu Y.
    Song Y.
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2023, 51 (17): : 101 - 109
  • [29] Denial of service attack and defense method on load frequency control system
    Li, Yuancheng
    Zhang, Pan
    Ma, Longqiang
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 356 (15): : 8625 - 8645
  • [30] VFence: A Defense against Distributed Denial of Service Attacks using Network Function Virtualization
    Jakaria, A. H. M.
    Yang, Wei
    Rashidi, Bahman
    Fung, Carol
    Rahman, M. Ashigur
    [J]. PROCEEDINGS 2016 IEEE 40TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSAC), VOL 2, 2016, : 431 - 436