An efficient and robust deep learning based network anomaly detection against distributed denial of service attacks

2020 ◽  
Vol 180 ◽  
pp. 107390 ◽  
Author(s):  
Ömer KASIM
Keyword(s):  
Deep Learning ◽  
Anomaly Detection ◽  
Denial Of Service ◽  
Denial Of Service Attacks ◽  
Distributed Denial Of Service ◽  
Network Anomaly Detection

Protecting Enterprise Networks

2011 ◽  
pp. 40-76 ◽  
Author(s):  
Nana K. Ampah ◽  
Cajetan M. Akujuobi
Keyword(s):  
Anomaly Detection ◽  
Denial Of Service ◽  
Power Lines ◽  
Denial Of Service Attacks ◽  
Distributed Denial Of Service ◽  
Enterprise Networks ◽  
Its Analysis ◽  
Analysis Strategies

Our new IDS, which employs both signature-based and anomaly detection as its analysis strategies, will be able to detect both known and unknown attacks and further isolate them. An auto-reclosing technique used on long rural power lines and multi-resolution techniques were used in developing these IDS, which will help update existing IPSs. It should effectively block SYN-flood attacks; distributed denial of service attacks (DDoS) based on SYN-flood attacks, and helps eliminate four out of the five major limitations of existing IDSs and IPSs.

Mitigating Distributed Denial of Service Attacks with Dynamic Resource Pricing

2001 ◽  
Author(s):  
David Mankins ◽  
Rajesh Krishnan ◽  
Ceilyn Boyd ◽  
John Zao ◽  
Michael Frentz
Keyword(s):  
Denial Of Service ◽  
Denial Of Service Attacks ◽  
Distributed Denial Of Service ◽  
Resource Pricing ◽  
Dynamic Resource
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