Abstract
Ease of data availability in the client server model of the Internet comes with issues like Denial of Service which is an attack devised by the malicious clients to restrict the legitimate clients from using services offered by the server. In DDoS, the attacker asks the server for its resources and keeps the resources engaged. Distributed denial of service attack is performed on a large scale by using many malicious clients to flood the server with requests. In this paper, we address the problem of mitigating the effects of distributed denial of service attacks. We use a ringer-based approach in which a polynomial is sent as challenge to each requesting party. If the service is to be availed, the requesting client must send the correct value of the polynomial at a point fixed by the server and unknown to the client. Unlike previous approaches, the proposed approach to throttle the attacking clients does not rely on operations over large numbers thereby leading to far less computation overhead on the server for validating the clients and forcing the client to devote considerable computation efforts to gain access to a service. This makes the proposed solution more scalable with guaranteed security even if the system is exposed to a very large number of potential attackers. The proposed solution also defends against an intelligent client who tries to solve the polynomial using a random guess or by doing constant number of computations.
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Sawant, S.V., Pareek, G., Purushothama, B.R. (2017). A Ringer-Based Throttling Approach to Mitigate DDoS Attacks. In: Thampi, S., MartÃnez Pérez, G., Westphall, C., Hu, J., Fan, C., Gómez Mármol, F. (eds) Security in Computing and Communications. SSCC 2017. Communications in Computer and Information Science, vol 746. Springer, Singapore. https://doi.org/10.1007/978-981-10-6898-0_8
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