DDoS attack detection mechanism in the application layer using user features

Silvia Bravo, David Mauricio

Resultado de la investigación: Contribución a una conferenciaArtículo

11 Citas (Scopus)

Resumen

© 2018 IEEE. DDoS attacks are one of the most damaging computer aggressions of recent times. Attackers send large number of requests to saturate a victim machine and it stops providing its services to legitimate users. In general attacks are directed to the network layer and the application layer, the latter has been increasing due mainly to its easy execution and difficult detection. The present work proposes a low cost detection approach that uses the characteristics of the Web User for the detection of attacks. To do this, the features are extracted in real time using functions designed in PHP and JavaScript. They are evaluated by an order 1 classifier to differentiate a real user from a DDoS attack. A real user is identified by making requests interacting with the computer system, while DDoS attacks are requests sent by robots to overload the system with indiscriminate requests. The tests were executed on a computer system using requests from real users and attacks using the LOIC, OWASP and GoldenEye tools. The results show that the proposed method has a detection efficiency of 100%, and that the characteristics of the web user allow to differentiate between a real user and a robot.
Idioma originalInglés estadounidense
Páginas97-100
Número de páginas4
DOI
EstadoPublicada - 9 may. 2018
Evento2018 International Conference on Information and Computer Technologies, ICICT 2018 -
Duración: 9 may. 2018 → …

Conferencia

Conferencia2018 International Conference on Information and Computer Technologies, ICICT 2018
Período9/05/18 → …

Huella

Profundice en los temas de investigación de 'DDoS attack detection mechanism in the application layer using user features'. En conjunto forman una huella única.

Citar esto