Abstract
Denial of service attacks, distributed denial of service attacks and reflector attacks are well known and documented events. More recently these attacks have been directed at game stations and mobile communication devices as strategies for disrupting communication. In this paper we ask, How can slow DDos attacks be detected? The similarity metric is adopted and applied for potential application. A short review of previous literature on attacks and prevention methodologies is provided and strategies are discussed. An innovative attack detection method is introduced and the processes and procedures are summarized into an investigation process model. The advantages and benefits of applying the metric are demonstrated and the importance of trace back preparation discussed.
Recommended Citation
Cusack, Brian; Lutui, Raymond; and Khaleghparast, Reza, "Detecting Slow DDos Attacks on Mobile Devices" (2016). ACIS 2016 Proceedings. 69.
https://aisel.aisnet.org/acis2016/69