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Canadian Institute for Cybersecurity

Publications

Books  |  Journals  |  Conferences  |  PhD/MSc theses  |  Patents

Books

  • N. Stakhanova, A. A. Cardenas. Analysis of Metrics for Classification Accuracy in Intrusion Detection. In L. Othmane, M. G. Jaatun, and E. Weippl, editors. Empirical Research for Software Security: Foundations and Experience, Taylor & Francis Group, LLC, 2017
  • Andi Abdul Kadir, Natalia Stakhanova, and Ali A. Ghorbani. "An empirical analysis of Android banking malware", In W. Meng, X. Luo, J. Zhou, and S. Furnell, editors, Protecting Mobile Networks and Devices: Challenges and Solutions. CRC Press - Taylor & Francis, 2016
  • Hugo Gonzalez, M.-A. Gosselin-Lavigne, Natalia Stakhanova, and Ali A. Ghorbani. "The impact of application layer denial of service attacks". In B. Issac and N. Israr, editors, Case Studies in Secure Computing - Achievements and Trends. ISBN# 978-1-4822-0706-4. CRC Press, Taylor and Francis, 2014
  • A. A. Ghorbani, Wei Lu, Mahbod Tavallaee, "Network Intrusion Detection and Prevention - Concepts and Techniques". Advances in Information Security, Vol.47 Springer 2010.
  • P. Kabiri and Ali A. Ghorbani, "Dimension reduction and its effects on Clustering for Intrusion Detection", P. Kabiri (Ed.): Privacy, Intrusion Detection, and Response: Technologies for Protecting Networks, IGI, 2010.



Journals

These documents are made available to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each copyright.

2017

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2014

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2012

  • M. Bateni, A. Baraani and A. Ghorbani, Alert Correlation using Artificial Immune Recognition System, International Journal of Bio-Inspired Computation,vol.4, no.3, pp.181-195, 2012.
  • H. Shiravi, A. Shiravi, and A. A. Ghorbani, A Survey of Visualization Systems for Network Security, IEEE Transactions on Visualization and Computer Graphics, 18(8): 1313-1329, 2012.
  • J. Lei and A. A. Ghorbani, Improved Competitive Learning Neural Networks for Network Intrusion and Fraud Detection, Journal of Neurocomputing 75(1): 135-145, 2012.
  • A. Shiravi, H. Shiravi M. Tavallaee, A. A. Ghorbani, Toward developing a systematic approach to generate benchmark datasets for intrusion detection, Computers & Security, Elsevier, 31(3): 357-374, 2012.
  • M. Soleimani, A. A. Ghorbani, Multi-layer episode filtering for the multi-step attack detection, Computer Communications 35(11): 1368-1379, 2012.
  • M. Bateni, A. Baraani, A. Ghorbani, and A. Rezaei, Alert Correlation using Artificial Immune Recognition System, International Journal of Bio-Inspired Computation 4(3): 181-195, 2012.

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2010

2009

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2007

2006

2005



Conferences

The documents are made available to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each copyright.

2017

  • Amirhossein Gharib, Ali Ghorbani, "DNA-Droid: A Real-Time Android Ransomware Detection Framework", International Conference on Network and System Security, (NSS 2017), pp 184-198.
  • Arash Habibi Lashkari, Gerard Draper Gil, Jonathan Edward Keenan, Kenneth Fon Mbah, Ali A. Ghorbani, "A New Evaluation framework for Network Traffic base Botnet Detection Methods", 7th International Conference on Communication and Network Security (ICCNS 2017), Tokyo, Japan.
  • Arash Habibi Lashkari, Amy Seo, Gerard Drapper Gil, and Ali Ghorbani, "CIC-AB: Online Ad Blocker for Browsers", The 51st International Carnahan Conference on Security Technology, Madrid, Spain.
  • Iman Sharafaldin, Amirhossein Gharib, Arash Habibi Lashkari, Ali A. Ghorbani, "BotViz: A Memory Forensic-Based Botnet Detection and Visualization Approach", The 51st International Carnahan Conference on Security Technology, Madrid, Spain.
  • Xichen Zhang, Arash Habibi Lashkari and Ali A. Ghorbani, "A Lightweight Online Advertising Classification System Using Lexical-based Features", 14th International Conference on Security and Cryptography (SECRYPT 2017), Spain.
  • Arash Habibi Lashkari, Gerard Draper-Gil, Mohammad Saiful Islam Mamun and Ali A. Ghorbani, "Characterization of Tor Traffic Using Time Based Features", In the proceeding of the 3rd International Conference on Information System Security and Privacy, SCITEPRESS, Porto, Portugal.

2016

2015

2014

2013

2012

2011

  • Natalia Stakhanova, Mathieu Couture, and Ali A. Ghorbani, Exploring network-based malware classification, Malicious and Unwanted Software (MALWARE), 2011 6th International Conference on , vol., no., pp.14-20, 18-19 Oct. 2011.
  • Julian Rrushi, Ehsan Mokhtari, and Ali A. Ghorbani, A statistical approach to botnet virulence estimation, In Proc. of the 6th ACM Symposium on Information, Computer and Communications Security (ASIACCS ’11), pp. 508-512, 2011.
  • John Felix and Ali A. Ghorbani, VisVerND: Visual Verification of Network Traffic Dataset, In Proc. of the 2011 Communication Networks and Services Research (CNSR ‘11), pp. 56-62, Ottawa, Canada, 2011.

2010

  • Hadi Shiravi, Ali Shiravi and Ali Ghorbani, IDS Alert Visualization and Monitoring through Heuristic Host Selection, In Proc. of the Twelfth International Conference on Information and Communications Security (ICICS), pp. 445-458, December 15-17, Barcelona, Spain, 2010.
  • Natalia Stakhanova, Hanli Ren, Ali A. Ghorbani, Selective Regular Expression Matching, In Proc. of the 13th Information Security Conference (ISC ‘2010), Boca Raton, Florida, pp. 226-240, 2010.
  • Mahbod Tavallaee, Wei Lu, Ebrahim Bagheri and Ali A. Ghorbani, Automatic Discovery of Network Applications: A Hybrid Approach, The 23rd Canadian Conference on Artificial Intelligence, Ottawa, Canada, 2010.
  • Hanli Ren, Natalia Stakhanova, and Ali A. Ghorbani, An Online Adaptive Approach to Alert Correlation, In Proc. of the Seventh Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA), pp. 153-172, Bonn, Germany, 2010.
  • Natalia Stakhanova, Ali A. Ghorbani, Managing intrusion detection rule sets, In Proc. of the 2010 European Workshop on System Security (EUROSEC), pp. 29-35, Paris, France, 2010.
  • Ali A. Ghorbani, Iosif-Viorel Onut, Y-Means: An Autonomous Clustering Algorithm, In Proc. of the 5th International Conference on Hybrid Artificial Intelligent Systems -HAIS, pp. 1-13, San Sebastian, Spain, 2010.

2009

  • Wei Lu, Mahbod Tavallaee and Ali A. Ghorbani, Hybrid Traffic Classification Approach Based on Decision Tree, Proceedings of the 2009 IEEE Global Telecommunications Conference (GLOBECOM’09), pp. 1-6, December 2009.
  • Mahbod Tavallaee, Ebrahim Bagheri, Wei Lu and Ali A. Ghorbani. A Detailed Analysis of the KDD CUP 99 Data Set. In Proceedings of the 2009 IEEE Symposium Computational Intelligence for Security and Defense Applications, CISDA’09, July 2009.
  • Natalia Stakhanova, Yao Li and Ali A. Ghorbani. Classification and Discovery of Rule Misconfigurations in Intrusion Detection and Response Devices. Accepted to the Congress on Privacy, Security, Trust and the Management of e-Business, 2009.
  • Wei Lu, Mahbod Tavallaee and Ali. A. Ghorbani. Automatic Discovery of Botnet Communities on Large-Scale Communication Networks. In Proceedings of the 2009 ACM Symposium on Information, Computer and Communications Security, ASIACCS 2009, Sydney, Australia, March 10-12, 2009, ACM, pp. 1-10.
  • Wei Lu, Mahbod Tavallaee, Goaletsa Rammidi and Ali A. Ghorbani. BotCop: An Online Botnets Traffic Classifier. In Proceedings of the 7th Annual Conference on Communication Networks and Services Research (CNSR 2009), Moncton, New Brunswick, Canada, May 11 - 13, 2009. pp. 70-77.
  • Mahbod Tavallaee, Wei Lu, and Ali A. Ghorbani. Online Classification of Network Flows. In Proceedings of the 7th Annual Conference on Communication Networks and Services Research (CNSR 2009), Moncton, New Brunswick, Canada, May 11 - 13, 2009. pp. 78-85.

2008

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2006

  • Mehran Nadjarbashi-Noghani and Ali A. Ghorbani. Design and Implementation of a Behavioral Difference Analyzer for Network Intrusion Detection. In Proceedings of the 4th Annual Conference on Privacy, Security and Trust (PST), pages 1-5, 2006.
  • Iosif-Viorel Onut and Ali A. Ghorbani. Toward A Feature Classification Scheme For Network Intrusion Detection. In Proceedings of The Fourth Annual Conference on Communication Networks and Services Research (CNSR), pages 284-291, 2006.
  • Reza Sadoddin and Ali A. Ghorbani. Alert Correlation Survey : Framework and Techniques. In Proceedings of the 4th Annual Conference on Privacy, Security and Trust (PST), pages 6-15, 2006.

2005

2004



PhD/MSc theses

Abdullah Alzahrani, PhD thesis: SMS Mobile Botnet Detection Framework, Faculty of Computer Science, UNB, October 2016

Hossein Hadian Jazi, Master thesis: Dynamic Graph-Based Malware Classifier, Faculty of Computer Science, UNB, October 2016

Mahbod Tavallaee, PhD thesis: An Adaptive Hybrid Intrusion Detection System, Faculty of Computer Science, UNB, October 2011.

Shah Arif Iqbal, MS thesis: Automatic Rule Tuning in Intrusion Detection Systems: Online and Offline, Faculty of Computer Science, UNB, August 2009.

Mahbobeh Soleimani, MS thesis: Multi-layer Episode Filtering for the Multi-step Attack Detection, Faculty of Computer Science, UNB, October 2008.

Iosif-Viorel Onut, PhD thesis: A Fuzzy Feature Evaluation Framework for Network Intrusion Detection, Faculty of Computer Science, UNB, April 2008.

Mehran Nadjarbashi, PhD thesis: Differential Intrusion Detection Architecture and Analysis, Faculty of Computer Science, UNB, July 2007.

Reza Sadoddin, MS thesis: An Incremental Frequent Structure Mining Framework for Real-time Alert Correlation, Faculty of Computer Science, UNB, July 2007.

Harshit Nayyar, MS thesis: Multi-scale Time Series Prediction for Intrusion Detection, Faculty of Computer Science, UNB, April 2006.

Mehdi Shajari, PhD thesis: Enhancing Network Survivability Using Intelligent Agents, Faculty of Computer Science, UNB, April 2005.

Bin Zhu, MS thesis: Alert correlation for extracting attack strategies, Faculty of Computer Science, UNB, June 2005.



Patents

System and method for simulating network attacks. A.Ghorbani, I-V.Onut, N. Stakhanova and W.Bird. US Patent # 8160855.

Graph structures for event matching. N. Stakhanova, A.Ghorbani and W.Bird. US Patent Application No.12553,040, August 2009.