An intelligence based model for the prevention of advanced cyber-attacks

The trend and motive of Cyber-attacks have gone beyond traditional damages and challenges to information stealing for political and economic gain. With the recent APT (Advance Persistent Threat), which comprises of Zero-day malware, Polymorphic malware, and Blended threat, the task of protecting vit...

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Main Authors: Adebayo, Olawale Surajudeen, Abdul Aziz, Normaziah
Format: Conference or Workshop Item
Language:English
English
English
English
Published: IEEE 2014
Subjects:
Online Access:http://irep.iium.edu.my/49245/
http://irep.iium.edu.my/49245/
http://irep.iium.edu.my/49245/1/Intelligent_based_model-preven-cyberattacks-ICT4M-Kuching.pdf
http://irep.iium.edu.my/49245/3/07020681.pdf
http://irep.iium.edu.my/49245/4/07020579.pdf
http://irep.iium.edu.my/49245/8/49245_An%20intelligence%20based%20model_scopus.pdf
id iium-49245
recordtype eprints
spelling iium-492452017-09-06T03:43:41Z http://irep.iium.edu.my/49245/ An intelligence based model for the prevention of advanced cyber-attacks Adebayo, Olawale Surajudeen Abdul Aziz, Normaziah QA75 Electronic computers. Computer science The trend and motive of Cyber-attacks have gone beyond traditional damages and challenges to information stealing for political and economic gain. With the recent APT (Advance Persistent Threat), which comprises of Zero-day malware, Polymorphic malware, and Blended threat, the task of protecting vita infrastructures are increasingly becoming difficult. This paper proposes an intelligence based technique that combined the traditional signature based detection with the next generation based detection. The proposed model consists of virtual execution environment, detection, and prevention module. The virtual execution environment is designated to analyze and execute a suspected file contains malware while other module inspect, detect, and prevent malware execution based on the intelligent gathering in the central management system (CMS). The model based on Next Generation Malware Detection of creating threat intelligence for future occurrence prevention. The new model shall take into consideration lapses and benefits of the existing detectors. IEEE 2014-11-17 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/49245/1/Intelligent_based_model-preven-cyberattacks-ICT4M-Kuching.pdf application/pdf en http://irep.iium.edu.my/49245/3/07020681.pdf application/pdf en http://irep.iium.edu.my/49245/4/07020579.pdf application/pdf en http://irep.iium.edu.my/49245/8/49245_An%20intelligence%20based%20model_scopus.pdf Adebayo, Olawale Surajudeen and Abdul Aziz, Normaziah (2014) An intelligence based model for the prevention of advanced cyber-attacks. In: Information and Communication Technology for The Muslim World (ICT4M), 2014 The 5th International Conference on, 17-18 Nov. 2014, Kuching, Sarawak, Malaysia. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7006292
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
English
English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Adebayo, Olawale Surajudeen
Abdul Aziz, Normaziah
An intelligence based model for the prevention of advanced cyber-attacks
description The trend and motive of Cyber-attacks have gone beyond traditional damages and challenges to information stealing for political and economic gain. With the recent APT (Advance Persistent Threat), which comprises of Zero-day malware, Polymorphic malware, and Blended threat, the task of protecting vita infrastructures are increasingly becoming difficult. This paper proposes an intelligence based technique that combined the traditional signature based detection with the next generation based detection. The proposed model consists of virtual execution environment, detection, and prevention module. The virtual execution environment is designated to analyze and execute a suspected file contains malware while other module inspect, detect, and prevent malware execution based on the intelligent gathering in the central management system (CMS). The model based on Next Generation Malware Detection of creating threat intelligence for future occurrence prevention. The new model shall take into consideration lapses and benefits of the existing detectors.
format Conference or Workshop Item
author Adebayo, Olawale Surajudeen
Abdul Aziz, Normaziah
author_facet Adebayo, Olawale Surajudeen
Abdul Aziz, Normaziah
author_sort Adebayo, Olawale Surajudeen
title An intelligence based model for the prevention of advanced cyber-attacks
title_short An intelligence based model for the prevention of advanced cyber-attacks
title_full An intelligence based model for the prevention of advanced cyber-attacks
title_fullStr An intelligence based model for the prevention of advanced cyber-attacks
title_full_unstemmed An intelligence based model for the prevention of advanced cyber-attacks
title_sort intelligence based model for the prevention of advanced cyber-attacks
publisher IEEE
publishDate 2014
url http://irep.iium.edu.my/49245/
http://irep.iium.edu.my/49245/
http://irep.iium.edu.my/49245/1/Intelligent_based_model-preven-cyberattacks-ICT4M-Kuching.pdf
http://irep.iium.edu.my/49245/3/07020681.pdf
http://irep.iium.edu.my/49245/4/07020579.pdf
http://irep.iium.edu.my/49245/8/49245_An%20intelligence%20based%20model_scopus.pdf
first_indexed 2023-09-18T21:09:38Z
last_indexed 2023-09-18T21:09:38Z
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