Enhanced Request Threshold Collaborative Mitigation For HTTP Flood

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Details

HTTP flood attacks have proven to be a long time challenge to internet web service. Various approaches have been devised to detect and mitigate against flood attack, however, it is not always possible for a router on the adversary (i.e the victim path) to detect an attack in progress. Also most of the approaches only detects the presence of an attack. This research presented Enhanced Request threshold based collaborative detection and mitigation model to detect and mitigate against flood attacks in progress irrespective of the path and the position of the adversary. Hence, this system will help to reduce HTTP flood attacks to a level that will ensure uninterrupted services to legitimate users. The res- ults gotten from the approach shows that an improvement of utilization performance of 64.33% against the scenario without Request threshold based scheme is recorded. This implies that Request threshold based detection and mitigation model provides 14.33% increment in cpu performance of web server under flood attack against other ap- proaches such as the rate based detection and mitigation scheme. The research provides an algorithm for mitigating against flood.

Autorentext

M.tech Cyber security en la Universidad Federal de Tecnología, Minna. Nigeria Licenciatura en Ciencias de la Computación Delta State University, Abraka. Nigeria Soy administrador de redes y seguridad cibernética.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 125g
    • Autor Jones Ogidiagba , Victor Waziri , Ahmed Aliyu
    • Titel Enhanced Request Threshold Collaborative Mitigation For HTTP Flood
    • Veröffentlichung 21.06.2019
    • ISBN 6202064412
    • Format Kartonierter Einband
    • EAN 9786202064415
    • Jahr 2019
    • Größe H220mm x B150mm x T5mm
    • Anzahl Seiten 72
    • GTIN 09786202064415

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