A Scalable Malware Classification based on Integrated Static and Dynamic Features

Conference paper


Bounouh, Tewfik, Brahimi, Zakaria, Al-Nemrat, A. and Benzaid, Chafika 2017. A Scalable Malware Classification based on Integrated Static and Dynamic Features. 11th International Conference on Global Security, Safety, and Sustainability (ICGS3) 2017. London, UK 18 - 20 Jan 2017 Springer International Publishing. https://doi.org/10.1007/978-3-319-51064-4_10
AuthorsBounouh, Tewfik, Brahimi, Zakaria, Al-Nemrat, A. and Benzaid, Chafika
TypeConference paper
Abstract

This paper presents a malware classification approach which aims to improve precision and support scalability. To this end, a hybrid approach combining both static and dynamic features is adopted. The hybrid approach has the advantage of being a complete and robust solution to evasion techniques used by malware writers.

The proposed methodology allowed achieving a very promising accuracy of 99.41% in classifying malware into families while considerably reducing the feature space compared to competing approaches in the literature.

KeywordsMalware classification; Static features; Dynamic features; Coarse-grained modeling
Year2017
Conference11th International Conference on Global Security, Safety, and Sustainability (ICGS3) 2017
PublisherSpringer International Publishing
Accepted author manuscript
License
CC BY-NC-ND
File Access Level
Anyone
Publication dates
Print04 Jan 2017
Publication process dates
Deposited27 Feb 2017
Journal citation630, pp. 113-124
ISSN1865-0929
Book titleGlobal Security, Safety and Sustainability - The Security Challenges of the Connected World
Book editorJahankhani, H.
Carlile, A.
Emm, D.
Hosseinian-Far, A.
Brown, G.
Sexton, G.
Jamal, A.
ISBN978-3-319-51063-7
978-3-319-51064-4
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-51064-4_10
Web address (URL)https://doi.org/10.1007/978-3-319-51064-4
Copyright holder© 2016 Springer International Publishing AG
Copyright informationThe final authenticated publication is available online at https://doi.org/10.1007/978-3-319-51064-4_10
SeriesCommunications in Computer and Information Science
Permalink -

https://repository.uel.ac.uk/item/84x7w

Download files

Accepted author manuscript
Sclable Malware Classification - Ameer Al-Nemrat.pdf
License: CC BY-NC-ND
File access level: Anyone

  • 60
    total views
  • 226
    total downloads
  • 4
    views this month
  • 0
    downloads this month

Export as

Related outputs

Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All
Ebenuwa, S., Sharif, S., Al-Nemrat, A., Al-Bayatti, A. H., Alalwan, N., Alzahrani, A. I. and Alfarraj, O. 2019. Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All. Symmetry. 11 (Art. 1504). https://doi.org/10.3390/sym11121504
A Dynamic Access Control Model Using Authorising Workflow and Task-Role-Based Access Control
Uddin, M., Islam, S. and Al-Nemrat, A. 2019. A Dynamic Access Control Model Using Authorising Workflow and Task-Role-Based Access Control. IEEE Access. 7 (Art. 166676). https://doi.org/10.1109/ACCESS.2019.2947377
Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data
Ebenuwa, S., Sharif, M., Alazab, Mamoun and Al-Nemrat, A. 2019. Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data. IEEE Access. 7, pp. 24649-24666. https://doi.org/10.1109/ACCESS.2019.2899578
Deep Learning Approach for Intelligent Intrusion Detection System
Vinayakumar, R., Alazab, Mamoun, Soman, K. P., Poornachandran, Prabaharan, Al-Nemrat, A. and Venkatraman, Sitalakshmi 2019. Deep Learning Approach for Intelligent Intrusion Detection System. IEEE Access. 7, pp. 41525-41550. https://doi.org/10.1109/ACCESS.2019.2895334
Content Discovery Advertisements: An Explorative Analysis
Jadhav Balaji, R., Baravalle, Andres, Al-Nemrat, A. and Falcarin, P. 2017. Content Discovery Advertisements: An Explorative Analysis. in: Jahankhani, Hamid, Carlile, Alex, Emmett, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World Springer Verlag.
Integration operators for generating RDF/OWL-based user defined mediator views in a grid environment
Tawil, Abdel-Rahman H., Taweel, Adel, Naeem, U., Montebello, Matthew, Bashroush, R. and Al-Nemrat, A. 2014. Integration operators for generating RDF/OWL-based user defined mediator views in a grid environment. Journal of Intelligent Information Systems. 43 (1), pp. 1-32. https://doi.org/10.1007/s10844-013-0300-5
Security countermeasures in the cyber-world
Bendovschi, Andreea and Al-Nemrat, A. 2016. Security countermeasures in the cyber-world. in: 2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) IEEE. pp. 1-7
Measuring sustainability for an effective Information System audit from public organization perspective
Lope Abdul Rahman, Alifah Aida, Islam, S. and Al-Nemrat, A. 2015. Measuring sustainability for an effective Information System audit from public organization perspective. in: Research Challenges in Information Science (RCIS), 2015 IEEE 9th International Conference on IEEE. pp. 42-51
ARP cache poisoning mitigation and forensics investigation
Mangut, Heman Awang, Al-Nemrat, A., Benzaid, Chafika and Tawil, Abdel-Rahman H. 2015. ARP cache poisoning mitigation and forensics investigation. in: 2015 IEEE Trustcom/BigDataSE/ISPA IEEE. pp. 1392-1397
Cybercrime Profiling: Decision-Tree Induction, Examining Perceptions of Internet Risk and Cybercrime Victimisation
Al-Nemrat, A. and Benzaid, Chafika 2015. Cybercrime Profiling: Decision-Tree Induction, Examining Perceptions of Internet Risk and Cybercrime Victimisation. in: 2015 IEEE Trustcom/BigDataSE/ISPA IEEE. pp. 1380-1385
Intelligent Detection of MAC Spoofing Attack in 802.11 Network
Benzaid, Chafika, Boulgheraif, Abderrahman, Dahmane, Fatma Zohra, Al-Nemrat, A. and Zeraoulia, Khaled 2016. Intelligent Detection of MAC Spoofing Attack in 802.11 Network. in: Proceedings of the 17th International Conference on Distributed Computing and Networking ACM.
Forensic Malware Analysis: The Value of Fuzzy Hashing Algorithms in Identifying Similarities
Sarantinos, Nikolaos, Benzaid, Chafika, Arabiat, Omar and Al-Nemrat, A. 2017. Forensic Malware Analysis: The Value of Fuzzy Hashing Algorithms in Identifying Similarities. in: 2016 IEEE Trustcom/BigDataSE/ISPA IEEE. pp. 1782-1787
Fast authentication in wireless sensor networks
Benzaid, Chafika, Lounis, Karim, Al-Nemrat, A., Badache, Nadjib and Alazab, Mamoun 2014. Fast authentication in wireless sensor networks. Future Generation Computer Systems. 55, pp. 362-375.
An Analysis of Honeypot Programs and the Attack Data Collected
Moore, Chris and Al-Nemrat, A. 2015. An Analysis of Honeypot Programs and the Attack Data Collected. in: Jahankhani, Hamid, Carlile, Alex, Akhgar, Babak, Taal, Amie, Hessami, Ali G. and Hosseinian-Far, Amin (ed.) Global Security, Safety and Sustainability: Tomorrow's Challenges of Cyber Security Springer International Publishing.