Denial-of-service attack-detection techniques
By G. Carl, G. Kesidis, R. Brooks, S. Rai. IEEE Internet Computing, 2006
515 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/4dd4d639d84bcea14e335a8245a5a3dc113bd62a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Jean-Pierre Hubaux
- Panos Papadimitratos
- Yuzhe Li
- Maxim Raya
- Daniel E. Quevedo
- Ling Shi
- Imad Aad
- Daniel Jungels
Citations in the corpus
- A Survey on Cyber Security for Smart Grid Communications (2012, background): “It demonstrates the fragility of an interconnected smart grid communication infrastructure [45].”
- Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach (2015, background): “Typical DoS attacks can jam the communication between components in CPS and degrade the overall system performance [4]–[6].”
- An intrusion detection and prevention system in cloud computing: A systematic review (2013, methodology): “investigated different Denial-of-Service (DoS) detection techniques [7], and Sixsmith & Johnson tried to improve the quality of sensors to detect more intrusions [8].”
- Low-Rate DDoS Attacks Detection and Traceback by Using New Information Metrics (2011, methodology): “Therefore, the utilization and choice of statistical methods and tools is vitally important [4].”
- Eviction of Misbehaving and Faulty Nodes in Vehicular Networks (2007, methodology): “This can be done by one of several methods proposed in the literature [15], [17].”