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Defending worms attack through EDOWA system

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 outbrea...

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Main Authors: M.M., Saudi,, E.M., Tamil,, M.Y.I., Idris,, K., Seman,, L.M., Nasir,
Format: Conference Paper
Language:en_US
Published: 2015
Subjects:
Fuzzy logic; Information technology
Internet; Activity patterns
Early warnings; Epidemic spreads
High speeds; Large networks
Network packets; Network traffics
System administrators; Worm detections; Computer crime
Online Access:http://ddms.usim.edu.my/handle/123456789/9174
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spelling my.usim-91742015-08-25T02:52:58Z Defending worms attack through EDOWA system M.M., Saudi, E.M., Tamil, M.Y.I., Idris, K., Seman, L.M., Nasir, Fuzzy logic; Information technology Internet; Activity patterns Early warnings; Epidemic spreads High speeds; Large networks Network packets; Network traffics System administrators; Worm detections; Computer crime 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. © 2008 IEEE. 2015-08-25T02:52:58Z 2015-08-25T02:52:58Z 2008 Conference Paper 9781-4244-2328-6 http://ddms.usim.edu.my/handle/123456789/9174 en_US
institution Universiti Sains Islam Malaysia
building USIM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universit Sains Islam i Malaysia
content_source USIM Institutional Repository
url_provider http://ddms.usim.edu.my/
language en_US
topic Fuzzy logic; Information technology
Internet; Activity patterns
Early warnings; Epidemic spreads
High speeds; Large networks
Network packets; Network traffics
System administrators; Worm detections; Computer crime
spellingShingle Fuzzy logic; Information technology
Internet; Activity patterns
Early warnings; Epidemic spreads
High speeds; Large networks
Network packets; Network traffics
System administrators; Worm detections; Computer crime
M.M., Saudi,
E.M., Tamil,
M.Y.I., Idris,
K., Seman,
L.M., Nasir,
Defending worms attack through EDOWA system
description 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. © 2008 IEEE.
format Conference Paper
author M.M., Saudi,
E.M., Tamil,
M.Y.I., Idris,
K., Seman,
L.M., Nasir,
author_facet M.M., Saudi,
E.M., Tamil,
M.Y.I., Idris,
K., Seman,
L.M., Nasir,
author_sort M.M., Saudi,
title Defending worms attack through EDOWA system
title_short Defending worms attack through EDOWA system
title_full Defending worms attack through EDOWA system
title_fullStr Defending worms attack through EDOWA system
title_full_unstemmed Defending worms attack through EDOWA system
title_sort defending worms attack through edowa system
publishDate 2015
url http://ddms.usim.edu.my/handle/123456789/9174
_version_ 1645152556458967040
score 13.222552

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