Defeating the Distributed Denial of Service Attack in Cloud Environment: A Survey

被引:0
|
作者
Divyasree, I. R. [1 ]
Selvamani, K. [1 ]
机构
[1] Anna Univ, CEG, Dept Comp Sci & Engn, Madras, Tamil Nadu, India
关键词
Cloud Computing; DDoS attack; Detection Techniques; Filtering Techniques; Traceback; DEFENSE-MECHANISMS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cloud computing technologies are elaborated and popularized the power, networking, communications and storage speculated the human race to procreate process and share digital information to new demand for more impressive computing infrastructure. Although the Cloud computing is a very promising and challenging internet based computing infrastructure, Distributed Denial of Service (DDoS) is the one of the main attack. This attack can accord the obtainability of the assistance and can be conveniently initiated, it leads to financial damages or affecting the notoriety and this attack is tricky to detect and filter. With respect to the above scenario the detailed survey is made in this paper which focuses on different defeating mechanisms of DDoS attacks such as Detection Techniques, Filtering Techniques and Traceback.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] A survey of Distributed Denial of Service attack
    Mallikarjunan, K. Narasimha
    Muthupriya, K.
    Shalinie, S. Mercy
    [J]. PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO'16), 2016,
  • [2] Defeating distributed denial-of-service attack with deterministic bit marking
    Kim, Y
    Jo, JY
    Merat, FL
    [J]. GLOBECOM'03: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-7, 2003, : 1363 - 1367
  • [3] Intrusion detection of distributed denial of service attack in cloud
    S. Velliangiri
    J. Premalatha
    [J]. Cluster Computing, 2019, 22 : 10615 - 10623
  • [4] Intrusion detection of distributed denial of service attack in cloud
    Velliangiri, S.
    Premalatha, J.
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 5): : 10615 - 10623
  • [5] Distributed Denial of Service attack on Cloud: Detection and Prevention
    Khadka, Bikram
    Withana, Chandana
    Alsadoon, Abeer
    Elchouemi, Amr
    [J]. 2015 INTERNATIONAL CONFERENCE AND WORKSHOP ON COMPUTING AND COMMUNICATION (IEMCON), 2015,
  • [6] Distributed Denial of service Attacks and its effects on Cloud Environment- a Survey
    Prabadevi, B.
    Jeyanthi, N.
    [J]. 2014 INTERNATIONAL SYMPOSIUM ON NETWORKS, COMPUTERS AND COMMUNICATIONS, 2014,
  • [7] THE SLOW HTTP DISTRIBUTED DENIAL OF SERVICE ATTACK DETECTION IN CLOUD
    Dhanapal, A.
    Nithyanandam, P.
    [J]. SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2019, 20 (02): : 285 - 297
  • [8] Proactively defeating distributed denial of service attacks
    Fan, YH
    Hassanein, H
    Martin, P
    [J]. CCECE 2003: CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-3, PROCEEDINGS: TOWARD A CARING AND HUMANE TECHNOLOGY, 2003, : 1047 - 1050
  • [9] An Adaptive Distributed Denial of Service Attack Prevention Technique in a Distributed Environment
    Riskhan, Basheer
    Safuan, Halawati Abd Jalil
    Hussain, Khalid
    Elnour, Asma Abbas Hassan
    Abdelmaboud, Abdelzahir
    Khan, Fazlullah
    Kundi, Mahwish
    [J]. SENSORS, 2023, 23 (14)
  • [10] A Survey on HTTP Flooding-A Distributed Denial of Service Attack
    Khandare, Hrishikesh
    Jain, Saurabh
    Doriya, Rajesh
    [J]. PERVASIVE COMPUTING AND SOCIAL NETWORKING, ICPCSN 2022, 2023, 475 : 39 - 52