DocumentCode :
476676
Title :
Defending worms attack through EDOWA system
Author :
Saudi, Madihah Mohd ; Tamil, Emran Mohd ; Idris, Mohd Yamani Idna ; Seman, Kamaruzzaman ; Nasir, LuqmanulHakim Mohd
Author_Institution :
Faculty Science & Technology, Universiti Sains IslamMalaysia(USIM), Malaysia
Volume :
1
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
1
Lastpage :
5
Abstract :
EDOWA system is a system that is capable to detect worm efficiently and provide an early warning to the system administrator. Worms are a major threat to Internet-connected hosts and networks and their nature of widespread epidemic spread needed to be detected quickly in order to contain its outbreak. In EDOWA, the frequency of network packet will be observed by the system. The wide spreading nature of worm will cause the network packet to be transfer massively over the network and cause the substantial increase in frequency. The threshold that detects the worm activity pattern will adjust accordingly to the increase of network traffic to accommodate high speed large network traffic. By having this threshold adjust accordingly, it will increase worm detection efficiency. With fuzzy logic, the degree of urgency of a warning can be defined.
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
Type :
conf
DOI :
10.1109/ITSIM.2008.4631567
Filename :
4631567
Link To Document :
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