Dr Arash   Shaghaghi
Visiting Fellow

Dr Arash Shaghaghi

Education:

  • PhD - UNSW Sydney, Australia.
  • MSc - University College London (UCL), UK.
  • BSc - Heriot-Watt University, UK.

Certifications:

  • Graduate Certificate of Higher Education (Learning and Teaching), Deakin University, Australia, 2021.
  • Data: Law, Policy, and Regulation, London School of Economics (LSE), UK, 2021.
  • Oxford Blockchain Strategy Programme, The University of Oxford, UK, 2018.
Engineering
Sch: Computer Science & Eng

Dr Arash Shaghaghi is a Senior Lecturer in Cyber Security at RMIT University, Australia. Arash is also a Visiting Fellow at the School of Computer Science and Engineering of UNSW Sydney. He has previously been affiliated with Deakin University, UNSW Sydney, Data61 CSIRO, The University of Melbourne, and The University of Texas at Dallas. Arash completed his PhD at UNSW Sydney in Computer Science and Engineering, MSc Information Security at University College London (UCL) and BSc at Heriot-Watt University.

Arash is a multi-award winner cyber security educator and researcher with a track record of publications at competitive international conferences and journals. Arash currently serves as the Associate Editor for Journal of Ad Hoc Networks and has roles (TPC, organising member, and reviewer) at prestigious journals and conferences. To this date, Arash has received a total funding of more than 300,000 AUD (as PI and CI combined) for his cyber security research from various internal and external sources including the Australian Government. There have been several media coverage on Arash’s research activities, including by the Australian Broadcasting Corporation (ABC).

Publications

  • Book Chapters | 2019
    Shaghaghi A; Kaafar MA; Buyya R; Jha S, 2019, 'Software-Defined Network (SDN) data plane security: Issues, solutions, and future directions', in Handbook of Computer Networks and Cyber Security: Principles and Paradigms, pp. 341 - 387, http://dx.doi.org/10.1007/978-3-030-22277-2_14
    Book Chapters | 2018
    Desmedt Y; Shaghaghi A, 2018, 'Function-Based Access Control (FBAC): Towards Preventing Insider Threats in Organizations', in Lecture Notes in Computer Science, Springer International Publishing, pp. 143 - 165, http://dx.doi.org/10.1007/978-3-030-04834-1_8
  • Journal articles | 2021
    Shah SW; Syed NF; Shaghaghi A; Anwar A; Baig Z; Doss R, 2021, 'LCDA: Lightweight Continuous Device-to-Device Authentication for a Zero Trust Architecture (ZTA)', Computers & Security, vol. 108, pp. 102351 - 102351, http://dx.doi.org/10.1016/j.cose.2021.102351
    Journal articles | 2020
    Ali Shah SW; Shaghaghi A; Kanhere SS; Zhang J; Anwar A; Doss R, 2020, 'Echo-id: Smart user identification leveraging inaudible sound signals', IEEE Access, vol. 8, pp. 194508 - 194522, http://dx.doi.org/10.1109/ACCESS.2020.3031899
    Journal articles | 2020
    Gill SS; Shaghaghi A, 2020, 'Security-Aware Autonomic Allocation of Cloud Resources', Journal of Organizational and End User Computing, vol. 32, pp. 15 - 22, http://dx.doi.org/10.4018/joeuc.2020070102
    Journal articles | 2014
    Shaghaghi A; Sadeghi Bigham B, 2014, 'The Complex Case of Online Privacy for Iranian Users of Social Networks', International Journal of Computer and Information Technologies (IJOCIT), vol. 2, pp. 426 - 440, http://ijocit.ir/index.php/articles-archive/volume-2-issue-02
  • Conference Papers | 2021
    Abaid Z; Shaghaghi A; Gunawardena R; Seneviratne S; Seneviratne A; Jha S, 2021, 'Health access broker: Secure, patient-controlled management of personal health records in the cloud', in Advances in Intelligent Systems and Computing, pp. 111 - 121, http://dx.doi.org/10.1007/978-3-030-57805-3_11
    Conference Papers | 2021
    Kamenski D; Shaghaghi A; Warren M; Kanhere SS, 2021, 'Attacking with bitcoin: Using bitcoin to build resilient botnet armies', in Advances in Intelligent Systems and Computing, pp. 3 - 12, http://dx.doi.org/10.1007/978-3-030-57805-3_1
    Conference Papers | 2020
    Rivera A CA; Shaghaghi A; Kanhere SS, 2020, 'Towards a Distributed Defence Mechanism against IoT-based Bots', in Proceedings - Conference on Local Computer Networks, LCN, pp. 449 - 452, http://dx.doi.org/10.1109/LCN48667.2020.9314830
    Conference Papers | 2020
    Jha S; Zhou J; Michelin R; Ahmed N; Shaghaghi A, 2020, 'Massage from the chairs', in Proceedings - 2020 Workshop on Emerging Technologies for Security in IoT, ETSecIoT 2020, pp. VI, http://dx.doi.org/10.1109/ETSecIoT50046.2020.00011
    Conference Papers | 2020
    Shah SWA; Syed NF; Shaghaghi A; Anwar A; Baig Z; Doss R, 2020, 'Towards a Lightweight Continuous Authentication Protocol for Device-to-Device Communication', in 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE, presented at 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 29 December 2020 - 01 January 2021, http://dx.doi.org/10.1109/trustcom50675.2020.00148
    Conference Papers | 2020
    Puggioni E; Shaghaghi A; Doss R; Kanhere SS, 2020, 'Towards Decentralized IoT Updates Delivery Leveraging Blockchain and Zero-Knowledge Proofs', in 2020 IEEE 19th International Symposium on Network Computing and Applications, NCA 2020, http://dx.doi.org/10.1109/NCA51143.2020.9306689
    Conference Papers | 2019
    Maroof U; Shaghaghi A; Jha S, 2019, 'PLAR: Towards a Pluggable Software Architecture for Securing IoT Devices', in IoT S and P 2019 - Proceedings of the 2nd International ACM Workshop on Security and Privacy for the Internet-of-Things, ACM Press, pp. 50 - 56, presented at the 2nd International ACM Workshop, 15 November 2019 - 15 November 2019, http://dx.doi.org/10.1145/3338507.3358619
    Conference Papers | 2019
    Shaghaghi A; Kanhere SS; Kaafar MA; Bertino E; Jha S, 2019, 'Gargoyle: A Network-based Insider Attack Resilient Framework for Organizations', in Proceedings - Conference on Local Computer Networks, LCN, pp. 553 - 561, http://dx.doi.org/10.1109/LCN.2018.8638245
    Conference Papers | 2018
    Shaghaghi A; Kanhere SS; Kaafar MA; Jha S, 2018, 'Gwardar: Towards protecting a software-defined network from malicious network operating systems', in NCA 2018 - 2018 IEEE 17th International Symposium on Network Computing and Applications, IEEE, Cambridge, MA, USA, presented at The 17th IEEE International Symposium on Network Computing and Applications (NCA 2018), Cambridge, MA, USA, 01 November 2018 - 03 November 2018, http://dx.doi.org/10.1109/NCA.2018.8548074
    Conference Papers | 2017
    Shaghaghi A; Kaafar MA; Jha S, 2017, 'WedgeTail: An intrusion prevention system for the data plane of software defined networks', in ASIA CCS 2017 - Proceedings of the 2017 ACM Asia Conference on Computer and Communications Security, Abu Dhabi, United Arab Emirates, pp. 849 - 861, presented at 2017 ACM on Asia Conference on Computer and Communications Security, Abu Dhabi, United Arab Emirates, 02 April 2017 - 06 April 2017, http://dx.doi.org/10.1145/3052973.3053039
    Conference Papers | 2017
    Shaghaghi A; Kaafar MA; Scott-Hayward S; Kanhere SS; Jha S, 2017, 'Towards Policy Enforcement Point as a Service (PEPS)', in 2016 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2016, pp. 50 - 55, http://dx.doi.org/10.1109/NFV-SDN.2016.7919475
    Conference Papers | 2016
    Desmedt Y; Shaghaghi A, 2016, 'Function-based access control (FBAC): From access control Matrix to access control tensor', in MIST 2016 - Proceedings of the International Workshop on Managing Insider Security Threats, co-located with CCS 2016, pp. 89 - 92, http://dx.doi.org/10.1145/2995959.2995974
    Conference Abstracts | 2014
    Shaghaghi A; Hong J; Jha S, 2014, 'An SDN-based framework for detection of illegal rebroadcasting of channels in P2PTV', in VideoNEXT 2014 - Proceedings of the 2014 Workshop on Design, Quality and Deployment of Adaptive Video Streaming, pp. 47 - 49, http://dx.doi.org/10.1145/2676652.2683465

Awards

2018 - now:

  • Deakin University, School of Information Technology Award - Excellence in Early Career Research Performance, 2020.
  • Best Demo Award, The 45th IEEE Conference on Local Computer Networks (LCN) [Core A-ranked], 2020.
  • Deakin University, School of Information Technology Award - Excellence in Teaching & Unit Development, 2020.
  • Deakin University, School of Information Technology Award - Successfully Embedding Industry Certifications within Cyber Security Units, 2020.
  • Deakin University, School of Information Technology Award - Excellence in International Student Engagement, 2020.
  • Deakin University, School of Information Technology - Teaching & Learning Award: Outstanding Industry Capstone Supervisor, 2019.
  • The University of New South Wales (UNSW Sydney), UNSW ARC Research Student Award, 2018

Grants

Media