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Dr Leslie Sikos


Contact Information Telephone: +61 8 6304 5189, Email:, Campus: Joondalup, Room: JO18.418C
Staff Member Details
Telephone: +61 8 6304 5189
Campus: Joondalup  
Room: JO18.418C  


Leslie is a lecturer in computing and security in the School of Science, and a researcher at the Institute for Securing Digital Futures and at CyberCRC.

Current Teaching

  • CSG2305 Computer Forensics
  • CSG3308 Wireless Security


Leslie F Sikos, PhD, is a computer scientist specialising in network forensics and cybersecurity applications powered by artificial intelligence and data science. He has worked both in academia and the industry, and is a certified system professional in Watchguard firewall management. He is an active member of the research community as an author, editor, reviewer, conference session organiser, and speaker. Dr Sikos authored more than 20 books, including textbooks and monographs, and regularly edits Springer volumes in his areas of expertise. His most influential books include AI in Cybersecurity (DOI: and Data Science in Cybersecurity and Cyberthreat Intelligence (DOI:

Professional Memberships

  • Since 2017 - Association for Computing Machinery, ACM (Member)
  • Since 2017 - Institute of Electrical and Electronics Engineers, IEEE (Member)
    • IEEE Computer Society’s Technical Committee on Security and Privacy (Member)
    • IEEE Special Interest Group on Big Data for Cyber Security and Privacy (Founding member)
  • Since 2019 - Australian Computer Society, ACS (member)

Research Areas and Interests

  • Cybersecurity
  • Data Science
  • Artificial Intelligence
  • Digital Forensics


  • Doctor of Philosophy, The Flinders University of South Australia, 2018.


Recent Research Grants

  • Honeypot Deployment Architecture,  Cyber Security Research Centre Ltd,  Cyber Security Research Centre MBR Scholarship,  2019 - 2021,  $130,000.

Recent Publications (within the last five years)


  • Sikos, L., Choo, KR., (2020), Data Science in Cybersecurity and Cyberthreat Intelligence., Cham, Springer, DOI: 10.1007/978-3-030-38788-4.

Book Chapters

  • Flotyński, J., Malamos, AG., Brutzman, D., Hamza-Lup, FG., Polys, NF., Sikos, L., Walczak, K., (2020), Recent Advances in Web3D Semantic Modeling. Recent Advances in 3D Imaging, Modeling, and Reconstruction, 23–49, Hershey, PA, USA, IGI Global, DOI: 10.4018/978-1-5225-5294-9.ch002.
  • Sikos, L., (2020), The Formal Representation of Cyberthreats for Automated Reasoning. Data Science in Cybersecurity and Cyberthreat Intelligence, 1-12, Cham, Springer, DOI:
  • Sikos, L., (2019), OWL Ontologies in Cybersecurity: Conceptual Modeling of Cyber-Knowledge. AI in Cybersecurity, 1–17, Cham, Switzerland, Springer, DOI: 10.1007/978-3-319-98842-9_1.
  • Sikos, L., Philp, D., Howard, C., Voigt, S., Stumptner, M., Mayer, W., (2019), Knowledge Representation of Network Semantics for Reasoning-Powered Cyber-Situational Awareness. AI in Cybersecurity,  Cham, Switzerland, Springer, DOI: 10.1007/978-3-319-98842-9_2.
  • Sikos, L., (2018), Ontology-Based Structured Video Annotation for Content-Based Video Retrieval via Spatiotemporal Reasoning. Bridging the Semantic Gap in Image and Video Analysis, 97–122, Cham, Switzerland, Springer, DOI: 10.1007/978-3-319-73891-8_6.

Journal Articles

  • Sikos, L., (2020), Packet Analysis for Network Forensics: A Comprehensive Survey. Forensic Science International: Digital Investigation, 32C(200892), 1–12, DOI: 10.1016/j.fsidi.2019.200892.
  • Sikos, L., (2018), VidOnt: a Core Reference Ontology for Reasoning over Video Scenes. Journal of Information and Telecommunication, 2(2), 192–204, UK, DOI: 10.1080/24751839.2018.1437696.
  • Sikos, L., (2017), A Novel Ontology for 3D Semantics: Ontology-Based 3D Model Indexing and Content-Based Video Retrieval Applied to the Medical Domain. International Journal of Metadata Semantics and Ontologies, 12(1), 59–70, DOI: 10.1504/IJMSO.2017.087702.
  • Sikos, L., (2016), RDF-Powered Semantic Video Annotation Tools with Concept Mapping to Linked Data for Next-Generation Video Indexing: A Comprehensive Review. Multimedia Tools and Applications, 76(12), 14437–14460, DOI: 10.1007/s11042-016-3705-7.

Conference Publications

  • Yang, W., Johnstone, M., Sikos, L., Wang, S., (2020), Security and Forensics in the Internet of Things: Research Advances and Challenges. Security and Forensics in the Internet of Things: Research Advances and Challenges, 6, USA , IEEE.
  • Philp, D., Chan, N., Sikos, L., (2019), Decision Support for Network Path Estimation via Automated Reasoning. Intelligent Decision Technologies 2019: Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), 335–344, Singapore, Springer, DOI: 10.1007/978-981-13-8311-3_29.
  • Sikos, L., (2019), Knowledge Representation to Support Partially Automated Honeypot Analysis Based on Wireshark Packet Capture Files. Intelligent Decision Technologies 2019: Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), 345–351, Singapore, Springer, DOI: 10.1007/978-981-13-8311-3_30.
  • Flotyński, J., Brutzman, D., Hamza-Lup, FG., Malamos, A., Polys, N., Sikos, L., Walczak, K., (2019), The Semantic Web3D: Towards Comprehensive Representation of 3D Content on the Semantic Web. 2019 International Conference on 3D Immersion (IC3D) Proceedings, 1-9, Piscataway, USA, IEEE, DOI: 10.1109/IC3D48390.2019.8975906.
  • Cabral, WZ., Valli, C., Sikos, L., Wakeling, S., (2019), Review and Analysis of Cowrie Artefacts and their Potential to be Used Deceptively. Proceedings of 6th Annual Conference on Computational Science & Computational Intelligence, 166-171, Piscataway, USA, Institute of Electrical and Electronics Engineers, Inc., DOI: 10.1109/CSCI49370.2019.00035.
  • Sikos, L., Stumptner, M., Mayer, W., Howard, C., Voigt, S., Philp, D., (2018), Representing Network Knowledge Using Provenance-Aware Formalisms for Cyber-Situational Awareness. Procedia Computer Science, 126(3-5 September 2018), 29–38, Amsterdam, Science Direct, DOI: 10.1016/j.procs.2018.07.206.
  • Sikos, L., Philp, D., Voigt, S., Howard, C., Stumptner, M., Mayer, W., (2018), Provenance-Aware LOD Datasets for Detecting Network Inconsistencies. Joint Proceedings of the International Workshops on Contextualized Knowledge Graphs, and Semantic Statistics co-located with the 17th International Semantic Web Conference, Article 3, Aachen, RWTH.
  • Sikos, L., Stumptner, M., Mayer, W., Howard, C., Voigt, S., Philp, D., (2018), Automated Reasoning over Provenance-Aware Communication Network Knowledge in Support of Cyber-Situational Awareness. Knowledge Science, Engineering and Management 11th International Conference, KSEM 2018 Changchun, China, August 17–19, 2018 Proceedings, Part II, 132–143, Cham, Switzerland, Springer, DOI: 10.1007/978-3-319-99247-1_12.
  • Sikos, L., (2018), Handling Uncertainty and Vagueness in Network Knowledge Representation for Cyberthreat Intelligence. Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 6 p., Piscataway, NJ, USA, IEEE, DOI: 10.1109/FUZZ-IEEE.2018.8491686.
  • Sikos, L., (2017), 3D Model Indexing in Videos for Content-Based Retrieval via X3D-Based Semantic Enrichment and Automated Reasoning. 22nd International Conference on 3D Web Technology, Article No. a19, New York, ACM, DOI: 10.1145/3055624.3075943.
  • Sikos, L., (2017), Spatiotemporal Reasoning for Complex Video Event Recognition in Content-Based Video Retrieval. Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017, 704–713, Cham, Switzerland, Springer, DOI: 10.1007/978-3-319-64861-3_66.
  • Sikos, L., (2017), Utilizing Multimedia Ontologies in Video Scene Interpretation via Information Fusion and Automated Reasoning. 2017 Federated Conference on Computer Science and Information Systems, 91–98, New York, IEEE, DOI: 10.15439/2017F66.
  • Sikos, L., (2016), Rich Semantics for Interactive 3D Models of Cultural Artifacts. Metadata and Semantics Research, 169–180, Cham, Switzerland, Springer, DOI: 10.1007/978-3-319-49157-8_14.
  • Sikos, L., (2016), A Novel Approach to Multimedia Ontology Engineering for Automated Reasoning over Audiovisual LOD Datasets. Intelligent Information and Database Systems, 3–12, Heidelberg, Germany, Springer, DOI: 10.1007/978-3-662-49381-6_1.
  • Sikos, L., Powers, DM., (2015), Knowledge-Driven Video Information Retrieval with LOD: from Semi-Structured to Structured Video Metadata. Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval, 35–37, New York, ACM, DOI: 10.1145/2810133.2810141.
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