Entropy Methods for DDoS Attacks Detection in Telecommunication Systems

被引:0
|
作者
Popovskyy, Vladimir [1 ]
Skibin, Vladislav [1 ]
机构
[1] Kharkiv Natl Univ Radoielect, Telecommun Syst Dept, Kharkov, Ukraine
关键词
telecommunication system; DDoS-attack; network elements; entropy;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The given article is devoted to the protection of telecommunications networks from DDoS-attacks. The goal is the synthesis of DDoS-attacks detection method which is not related to the attacks parameters and parameters of network and transport layers. A universal sign of attack emergence can be appearance of information measure anomaly of both total traffic and its certain characteristics. On the basis of this hypothesis a method for the detection of DDoS-attacks based on entropy of network traffic is developed in the article. It is reasonable to base the solution for information anomaly detection on recursive procedures of estimation of current entropy state. The entropy itself must be formed on the basis of sample in the assigned window. The use of this method is demonstrated on the example of abrupt and smooth emergence of attack.
引用
收藏
页码:182 / 185
页数:4
相关论文
共 50 条
  • [31] A Multi-Model Proposal for Classification and Detection of DDoS Attacks on SCADA Systems
    Sogut, Esra
    Erdem, O. Ayhan
    APPLIED SCIENCES-BASEL, 2023, 13 (10):
  • [32] Real-Time Detection and Mitigation of DDoS Attacks in Intelligent Transportation Systems
    Haydari, Ammar
    Yilmaz, Yasin
    2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2018, : 157 - 163
  • [33] Research on the detection and defense systems against DDoS attacks in ad hoc networks
    Jing, Huang
    Wen, Wushao
    INFORMATION SCIENCE AND MANAGEMENT ENGINEERING, VOLS 1-3, 2014, 46 : 1161 - 1167
  • [34] Analyzing behavior of DDoS attacks to identify DDoS detection features in SDN
    Dayal, Neelam
    Srivastava, Shashank
    2017 9TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORKS (COMSNETS), 2017, : 274 - 281
  • [35] Detection of DDOS Attacks in Cloud Computing Environment
    Hamdani, Farhaan Noor
    Siddiqui, Farheen
    PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICCS), 2019, : 83 - 87
  • [36] Relevance of the Gaussian classification on the Detection of DDoS Attacks
    Tapsoba, Abdou Romaric
    Ouedraogo, Tounwendyam Frederic
    Ouedraogo, Arnold Elvis
    2022 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY, CYBERC, 2022, : 42 - 49
  • [37] Efficient Detection of DDoS Attacks with Important Attributes
    Wang, Wei
    Gombault, Sylvain
    CRISIS: 2008 THIRD INTERNATIONAL CONFERENCE ON RISKS AND SECURITY OF INTERNET AND SYSTEMS, PROCEEDINGS, 2008, : 61 - +
  • [38] Detection And Countermeasures of DDoS Attacks in Cloud Computing
    Elsayed, Mahmoud Said
    Azer, Marianne A.
    2018 TENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2018), 2018, : 702 - 707
  • [39] Detection of Sources Being Used in DDoS Attacks
    Khosroshahi, Yalda
    Ozdemir, Enver
    2019 6TH IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND CLOUD COMPUTING (IEEE CSCLOUD 2019) / 2019 5TH IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING AND SCALABLE CLOUD (IEEE EDGECOM 2019), 2019, : 163 - 168
  • [40] Hybrid Intrusion Detection System for DDoS Attacks
    Cepheli, Ozge
    Buyukcorak, Saliha
    Kurt, Gunes Karabulut
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2016, 2016