DeDoS: Defusing DoS with Dispersion Oriented Software
Title | DeDoS: Defusing DoS with Dispersion Oriented Software |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Demoulin, Henri Maxime, Vaidya, Tavish, Pedisich, Isaac, DiMaiolo, Bob, Qian, Jingyu, Shah, Chirag, Zhang, Yuankai, Chen, Ang, Haeberlen, Andreas, Loo, Boon Thau, Phan, Linh Thi Xuan, Sherr, Micah, Shields, Clay, Zhou, Wenchao |
Conference Name | Proceedings of the 34th Annual Computer Security Applications Conference |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-6569-7 |
Keywords | Collaboration, comparability, denial-of-service, Distributed Systems, Human Behavior, Metrics, pubcrawl, Resiliency, Scalability, science of security |
Abstract | This paper presents DeDoS, a novel platform for mitigating asymmetric DoS attacks. These attacks are particularly challenging since even attackers with limited resources can exhaust the resources of well-provisioned servers. DeDoS offers a framework to deploy code in a highly modular fashion. If part of the application stack is experiencing a DoS attack, DeDoS can massively replicate only the affected component, potentially across many machines. This allows scaling of the impacted resource separately from the rest of the application stack, so that resources can be precisely added where needed to combat the attack. Our evaluation results show that DeDoS incurs reasonable overheads in normal operations, and that it significantly outperforms standard replication techniques when defending against a range of asymmetric attacks. |
URL | https://dl.acm.org/citation.cfm?id=3274727 |
DOI | 10.1145/3274694.3274727 |
Citation Key | demoulin_dedos:_2018 |