Title
Self-organizing synergetic denial-of-service in underwater named data networking.
Abstract
In recent years, Named Data Networking (NDN) begins to be applied to Underwater Sensor Networks (UWSN). Although Underwater Named Data Networking (UNDN) performs well in data transmission, it still faces some security threats from Denial-of-Service (DoS) attacks. This paper proposed Self-Organizing Synergetic Denial-of-Service (SOSDoS) in which high-latency malicious interests sent by attackers will be cooperatively replied by other attackers. Experimental results illustrate that the SOSDoS attack almost trebled the network traffic caused by traditional DoS attack. Furthermore, a defense method based on classification was proposed. Simulation experiments proved that the proposed defense method can effectively detect and resist both SOSDoS attacks and traditional DoS attacks. Finally, we highlight some future works of UNDN.
Year
DOI
Venue
2018
10.1145/3291940.3291954
WUWNet'18: The 13th ACM International Conference on Underwater Networks & Systems Shenzhen China December, 2018
Field
DocType
ISBN
Underwater sensor networks,Denial-of-service attack,Data transmission,Computer science,Content based networking,Computer network,Underwater
Conference
978-1-4503-6193-4
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Yue Li113342.96
Yingjian Liu231.11
Haoyu Yin300.34
Hao Teng412.37