Nothing Special   »   [go: up one dir, main page]

skip to main content
research-article

Protection Against Denial of Service Attacks

Published: 01 September 2010 Publication History

Abstract

Denial of service (DoS) is a prevalent threat in today's networks because DoS attacks are easy to launch, while defending a network resource against them is disproportionately difficult. Despite the extensive research in recent years, DoS attacks continue to harm, as the attackers adapt to the newer protection mechanisms. For this reason, we start our survey with a historical timeline of DoS incidents, where we illustrate the variety of types, targets and motives for such attacks and how they evolved during the last two decades. We then provide an extensive literature review on the existing research on DoS protection with an emphasis on the research of the last years and the most demanding aspects of defence. These include traceback, detection, classification of incoming traffic, response in the presence of an attack and mathematical modelling of attack and defence mechanisms. Our discussion aims to identify the trends in DoS attacks, the weaknesses of protection approaches and the qualities that modern ones should exhibit, so as to suggest new directions that DoS research can follow.

Cited By

View all
  • (2022)Convolutional Neural Network-Based Automatic Diagnostic System for AL-DDoS Attacks DetectionInternational Journal of Cyber Warfare and Terrorism10.4018/IJCWT.30524212:1(1-15)Online publication date: 22-Jul-2022
  • (2022)A detailed survey of denial of service for IoT and multimedia systems: Past, present and futuristic developmentMultimedia Tools and Applications10.1007/s11042-021-11859-z81:14(19879-19944)Online publication date: 1-Jun-2022
  • (2021)A Vulnerability of Dynamic Network Address Translation to Denial-of-Service Attacks2021 4th International Conference on Data Science and Information Technology10.1145/3478905.3478950(226-230)Online publication date: 23-Jul-2021
  • Show More Cited By
  1. Protection Against Denial of Service Attacks

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image The Computer Journal
    The Computer Journal  Volume 53, Issue 7
    September 2010
    249 pages

    Publisher

    Oxford University Press, Inc.

    United States

    Publication History

    Published: 01 September 2010

    Qualifiers

    • Research-article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 12 Nov 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2022)Convolutional Neural Network-Based Automatic Diagnostic System for AL-DDoS Attacks DetectionInternational Journal of Cyber Warfare and Terrorism10.4018/IJCWT.30524212:1(1-15)Online publication date: 22-Jul-2022
    • (2022)A detailed survey of denial of service for IoT and multimedia systems: Past, present and futuristic developmentMultimedia Tools and Applications10.1007/s11042-021-11859-z81:14(19879-19944)Online publication date: 1-Jun-2022
    • (2021)A Vulnerability of Dynamic Network Address Translation to Denial-of-Service Attacks2021 4th International Conference on Data Science and Information Technology10.1145/3478905.3478950(226-230)Online publication date: 23-Jul-2021
    • (2019)Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body SensorsJournal of Medical Systems10.1007/s10916-019-1158-z43:3(1-34)Online publication date: 1-Mar-2019
    • (2019)(Short Paper) Effectiveness of Entropy-Based Features in High- and Low-Intensity DDoS Attacks DetectionAdvances in Information and Computer Security10.1007/978-3-030-26834-3_12(207-217)Online publication date: 28-Aug-2019
    • (2018)SF-APPInternational Journal of Web Services Research10.4018/IJWSR.201804010315:2(47-66)Online publication date: 1-Apr-2018
    • (2018)A First Joint Look at DoS Attacks and BGP Blackholing in the WildProceedings of the Internet Measurement Conference 201810.1145/3278532.3278571(457-463)Online publication date: 31-Oct-2018
    • (2018)Ensemble Classifiers with Drift Detection (ECDD) in Traffic Flow Streams to Detect DDOS AttacksWireless Personal Communications: An International Journal10.1007/s11277-018-5306-499:4(1639-1659)Online publication date: 1-Apr-2018
    • (2018)DEFADCluster Computing10.1007/s10586-018-2808-521:4(1765-1783)Online publication date: 1-Dec-2018
    • (2018)Low-Rate DoS Attack Detection Based on Two-Step Cluster AnalysisInformation and Communications Security10.1007/978-3-030-01950-1_6(92-104)Online publication date: 29-Oct-2018
    • Show More Cited By

    View Options

    View options

    Get Access

    Login options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media