Mitigating Distributed Denial of Service Attacks in Multiparty Applications in the Presence of Clock Drifts
Artikel i vetenskaplig tidskrift, 2012

Network-based applications commonly open some known communication port(s), making themselves easy targets for (distributed) denial of service attacks. Earlier solutions for this problem are based on port-hopping between pairs of processes which are synchronous or exchange acknowledgments. However, acknowledgments, if lost, can cause a port to be open for longer time and thus be vulnerable, while time servers can become targets to DoS attack themselves. Here we extend port-hopping to support multi-party applications, by proposing the BIGWHEEL algorithm, for each application-server to communicate with multiple clients in a port-hopping manner without the need for group synchronization. Furthermore, we present an adaptive algorithm, HOPERAA, for enabling hopping in the presence of bounded asynchrony, namely when the communicating parties have clocks with clock drifts. The solutions are simple, based on each client interacting with the server independently of the other clients, without the need of acknowledgments or time server(s). Further, they do not rely on the application having a fixed port open in the beginning, neither do they require the clients to get a "first-contact" port from a third party. We show analytically the properties of the algorithms and also study experimentally their success rates, confirm the relation with the analytical bounds.

Data Communication

Application

Denial of Service Attack

Clock Drift

Reliability

Författare

Zhang Fu

Chalmers, Data- och informationsteknik, Nätverk och system

Marina Papatriantafilou

Chalmers, Data- och informationsteknik, Nätverk och system

Philippas Tsigas

Chalmers, Data- och informationsteknik, Nätverk och system

IEEE Transactions on Dependable and Secure Computing

1545-5971 (ISSN) 19410018 (eISSN)

Vol. 9 3 401-413 6143953

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Datavetenskap (datalogi)

DOI

10.1109/TDSC.2012.18

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Senast uppdaterat

2022-04-05