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
Author(s):  
Nana K. Ampah ◽  
Cajetan M. Akujuobi

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.


2001 ◽  
Author(s):  
David Mankins ◽  
Rajesh Krishnan ◽  
Ceilyn Boyd ◽  
John Zao ◽  
Michael Frentz

Sign in / Sign up

Export Citation Format

Share Document