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Canadian Institute for Cybersecurity

Publications

Books | Journals | Conferences | PhD/MSc theses | CIC Technical Reports | Patents

Books

N. Stakhanova, and A. A. Cardenas, "Analysis of Metrics for Classification Accuracy in Intrusion Detection," in Empirical Research for Software Security: Foundations and Experience, L. Othmane, M. G. Jaatun, and E. Weippl, Eds.  Boca Raton:  CRC Press, 2017.

A. A. Kadir, N. Stakhanova, and A. A. Ghorbani, "An empirical analysis of Android banking malware," in Protecting Mobile Networks and Devices: Challenges and Solutions, W. Meng, X. Luo, J. Zhou, and S. Furnell, Eds.  New York:  Auerbach Publications, 2016.

H. Gonzalez, M.-A. Gosselin-Lavigne, N. Stakhanova, and A. A. Ghorbani, "The impact of application layer denial of service attacks," in Case Studies in Secure Computing - Achievements and Trends, B. Issac and N. Israr, Eds.  New York:  Auerbach Publications, 2014.

A. A. Ghorbani, W. Lu, and M. Tavallaee, "Network Intrusion Detection and Prevention - Concepts and Techniques, Springer Series," in Advances in Information Security Series, Vol.47.  New York:  Springer-Verlag US, 2010.

P. Kabiri and A. A. Ghorbani, "Dimension reduction and its effects on Clustering for Intrusion Detection," in Privacy, Intrusion Detection, and Response: Technologies for Protecting Networks, P. Kabiri, Ed.  IGI Global, 2011.

X. Zhang and A. A. Ghorbani, "Human Factors in Cybersecurity: Issues and Challenges in Big Data," in Security, Privacy, and Forensics Issues in Big Data, IGI Global, 2020, pp 66-96.

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.

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Conferences

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.

2021

  • D. Keyes, B. Li, G. Kaur, A. Lashkari, "Entroplyzer: Android Malware Classification and Characterization Using Entropy Analysis of Dynamic Characteristics," Reconciling Data Analytics, Automation, Privacy, and Security (RDAAPS), Hamilton, ON, 2021.
  • A. Lashkari, B. Li, T. Carrier, G. Kaur, “VolMemLyzer: Volatile Memory Analyzer for Malware Classification using Feature Engineering,” Reconciling Data Analytics, Automation, Privacy, and Security (RDAAPS), Hamilton, ON, 2021.
  • N. Mashtalyar, T. Santos, U. N. Ntaganzwa, S. Hakak, and S. Ray, "Social Engineering Attacks: Recent Advances and Challenges," 23rd International Conference on Human-Computer Interaction, Washington, DC, Jul. 2021. 
  • S. Hakak, S. Ray, W. Z. Khan, and E. Scheme, “A Framework for Edge-Assisted Healthcare Data Analytics using Federated Learning IEEE International Conference on Big Data (IEEE BigData 2020) - International Workshop on DASH 2020: Data Analytics for Smart Health, Dec. 2020.

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PhD/MSc theses

  • M. MontazeriShatoori, “Detection of DoH traffic in encrypted HTTPS traffic flows,Master thesis, Faculty of Computer Science, UNB, Fredericton, Dec. 2020.
  • X. Zhang, “A deep learning-based framework for detecting and visualizing online malicious advertisement,” Master thesis, Faculty of Computer Science, UNB, Fredericton, Jan. 2018. 
  • A. Alzahrani, "SMS Mobile Botnet Detection Framework," PhD thesis, Faculty of Computer Science, UNB, Fredericton, October 2016.
  • H. H. Jazi, "Dynamic Graph-Based Malware Classifier," Master thesis, Faculty of Computer Science, UNB, Fredericton, October 2016.
  • M. Tavallaee, "An Adaptive Hybrid Intrusion Detection System," PhD thesis, Faculty of Computer Science, UNB, Fredericton, October 2011.
  • S. A. Iqbal, "Automatic Rule Tuning in Intrusion Detection Systems: Online and Offline," Master thesis, Faculty of Computer Science, UNB, Fredericton, August 2009.
  • M. Soleimani, "Multi-layer Episode Filtering for the Multi-step Attack Detection," Master thesis, Faculty of Computer Science, UNB, Fredericton, October 2008.
  • I.-V. Onut, "A Fuzzy Feature Evaluation Framework for Network Intrusion Detection," PhD thesis, Faculty of Computer Science, UNB, Fredericton, April 2008.
  • M. Nadjarbashi, "Differential Intrusion Detection Architecture and Analysis," PhD thesis,  Faculty of Computer Science, UNB, Fredericton, July 2007.
  • R. Sadoddin, "An Incremental Frequent Structure Mining Framework for Real-time Alert Correlation," Master thesis, Faculty of Computer Science, UNB, Fredericton, July 2007.
  • H. Nayyar, "Multi-scale Time Series Prediction for Intrusion Detection," Master thesis,  Faculty of Computer Science, UNB, Fredericton, April 2006.
  • M. Shajari, "Enhancing Network Survivability Using Intelligent Agents," PhD thesis, Faculty of Computer Science, UNB, Fredericton, April 2005.
  • B. Zhu, "Alert correlation for extracting attack strategies," Master thesis, Faculty of Computer Science, UNB, Fredericton, June 2005.

 

CIC Technical Reports

  • H. Azimy, A. Ghorbani, and E. Bagheri, “A new difficulty adjustment algorithm for preventing selfish mining attack,” Canadian Institute for Cybersecurity, Tech.Rep. CIC TR2021-04, July 2021, [available upon request].

 

Patents