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
  • [21] A Survey on Machine Learning Based Detection on DDoS Attacks for IoT Systems
    Wehbi, Khadijeh
    Hong, Liang
    Al-salah, Tulha
    Bhutta, Adeel A.
    2019 IEEE SOUTHEASTCON, 2019,
  • [22] Intrusion Detection Systems of ICMPv6-based DDoS attacks
    Omar E. Elejla
    Bahari Belaton
    Mohammed Anbar
    Ahmad Alnajjar
    Neural Computing and Applications, 2018, 30 : 45 - 56
  • [23] Intrusion Detection Systems of ICMPv6-based DDoS attacks
    Elejla, Omar E.
    Belaton, Bahari
    Anbar, Mohammed
    Alnajjar, Ahmad
    NEURAL COMPUTING & APPLICATIONS, 2018, 30 (01): : 45 - 56
  • [24] Matrix profile for DDoS attacks detection
    Alotaibi, Faisal
    Lisitsa, Alexei
    PROCEEDINGS OF THE 2021 16TH CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS (FEDCSIS), 2021, : 357 - 361
  • [25] DDoS attacks in WSNs: detection and countermeasures
    Abidoye, Ademola P.
    Obagbuwa, Ibidun C.
    IET WIRELESS SENSOR SYSTEMS, 2018, 8 (02) : 52 - 59
  • [26] Detection and Prevention of DDoS Attacks on the IoT
    Lee, Shu-Hung
    Shiue, Yeong-Long
    Cheng, Chia-Hsin
    Li, Yi-Hong
    Huang, Yung-Fa
    APPLIED SCIENCES-BASEL, 2022, 12 (23):
  • [27] Entropy Clustering Approach for Improving Forecasting in DDoS Attacks
    Olabelurin, Abimbola
    Veluru, Suresh
    Healing, Alex
    Rajarajan, Muttukrishnan
    2015 IEEE 12TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2015, : 315 - 320
  • [28] Detection Techniques of DDoS Attacks: A Survey
    Kamboj, Priyanka
    Trivedi, Munesh Chandra
    Yadav, Virendra Kumar
    Singh, Vikash Kumar
    2017 4TH IEEE UTTAR PRADESH SECTION INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND ELECTRONICS (UPCON), 2017, : 675 - 679
  • [29] DDoS attacks and machine-learning-based detection methods: A survey and taxonomy
    Najafimehr, Mohammad
    Zarifzadeh, Sajjad
    Mostafavi, Seyedakbar
    ENGINEERING REPORTS, 2023, 5 (12)
  • [30] DDoS Attacks on the Internet of Things and their Prevention Methods
    Mustapha, Hanan
    Alghamdi, Ahmed M.
    ICFNDS'18: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND DISTRIBUTED SYSTEMS, 2018,