Malware risk analysis on the campus network with bayesian belief network
A security network management system is for providing clear guidelines on risk evaluation and assessment for enterprise networks. The threat and risk assessment is conducted to safeguard enterprise network services to maintain system confidentiality, integrity, and availability through effective con...
Main Authors: | , , , |
---|---|
Format: | Article |
Published: |
A I R C C Publishing Corporation
2013
|
Subjects: |
_version_ | 1796857921860009984 |
---|---|
author | Mohammed, Aliyu A. Jamil, Haitham Mohd. Nor, Sulaiman Marsono, Muhammad Nadzir |
author_facet | Mohammed, Aliyu A. Jamil, Haitham Mohd. Nor, Sulaiman Marsono, Muhammad Nadzir |
author_sort | Mohammed, Aliyu |
collection | ePrints |
description | A security network management system is for providing clear guidelines on risk evaluation and assessment for enterprise networks. The threat and risk assessment is conducted to safeguard enterprise network services to maintain system confidentiality, integrity, and availability through effective control strategies. In this paper, based on our previous work in analyzing integrated information security management and malware propagation on the campus network through mathematical modelling, we proposed Bayesian Belief Network with inference level indicator to enable the decision maker to understand and provide appropriate mitigation decisions on the risks posed. We experimentally placed monitoring sensors on the campus network that gives the threat alert priority levels and magnitude on the vulnerable information assets. These methods will give a direction on the belief inferred due to malware prevalence on the information security assets for better understanding. |
first_indexed | 2024-03-05T19:05:01Z |
format | Article |
id | utm.eprints-40698 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T19:05:01Z |
publishDate | 2013 |
publisher | A I R C C Publishing Corporation |
record_format | dspace |
spelling | utm.eprints-406982017-08-01T04:14:09Z http://eprints.utm.my/40698/ Malware risk analysis on the campus network with bayesian belief network Mohammed, Aliyu A. Jamil, Haitham Mohd. Nor, Sulaiman Marsono, Muhammad Nadzir QA76 Computer software A security network management system is for providing clear guidelines on risk evaluation and assessment for enterprise networks. The threat and risk assessment is conducted to safeguard enterprise network services to maintain system confidentiality, integrity, and availability through effective control strategies. In this paper, based on our previous work in analyzing integrated information security management and malware propagation on the campus network through mathematical modelling, we proposed Bayesian Belief Network with inference level indicator to enable the decision maker to understand and provide appropriate mitigation decisions on the risks posed. We experimentally placed monitoring sensors on the campus network that gives the threat alert priority levels and magnitude on the vulnerable information assets. These methods will give a direction on the belief inferred due to malware prevalence on the information security assets for better understanding. A I R C C Publishing Corporation 2013 Article PeerReviewed Mohammed, Aliyu and A. Jamil, Haitham and Mohd. Nor, Sulaiman and Marsono, Muhammad Nadzir (2013) Malware risk analysis on the campus network with bayesian belief network. International Journal of Network Security & Its Applications, 5 (4). pp. 115-128. ISSN 1738-9976 |
spellingShingle | QA76 Computer software Mohammed, Aliyu A. Jamil, Haitham Mohd. Nor, Sulaiman Marsono, Muhammad Nadzir Malware risk analysis on the campus network with bayesian belief network |
title | Malware risk analysis on the campus network with bayesian belief network |
title_full | Malware risk analysis on the campus network with bayesian belief network |
title_fullStr | Malware risk analysis on the campus network with bayesian belief network |
title_full_unstemmed | Malware risk analysis on the campus network with bayesian belief network |
title_short | Malware risk analysis on the campus network with bayesian belief network |
title_sort | malware risk analysis on the campus network with bayesian belief network |
topic | QA76 Computer software |
work_keys_str_mv | AT mohammedaliyu malwareriskanalysisonthecampusnetworkwithbayesianbeliefnetwork AT ajamilhaitham malwareriskanalysisonthecampusnetworkwithbayesianbeliefnetwork AT mohdnorsulaiman malwareriskanalysisonthecampusnetworkwithbayesianbeliefnetwork AT marsonomuhammadnadzir malwareriskanalysisonthecampusnetworkwithbayesianbeliefnetwork |