Arash Shaghaghi

Visiting Fellow, School of Computer Science and Engineering
Visiting Fellow

Dr Arash Shaghaghi is a Lecturer (Assistant Professor) in Cyber Security at the Centre for Cyber Security Research & Innovation (CSRI), and Deputy Academic Director (Teching) at the School of Information Technology (IT), Deakin University. He also holds affiliation with UNSW Sydney as a Visiting Fellow. He currently leads the Data After Death (DaD) project at CSRI. Before joining Deakin, he completed his PostDoc at UNSW Sydney and has held positions with the University of Melbourne, and the University of Texas at Dallas (USA).

Arash received his Ph.D. in Computer Science and Engineering from The University of New South Wales (UNSW Sydney) and MSc in Information Security from University College London (UCL). His research interests include Access Control, Network Security, Internet of Things, and Blockchain. He is also passionate about developing usable and verifiable Privacy Enhancing Technology (PET) solutions. Arash has received multiple awards, scholarships, and grants for his teaching and research activates. Most recently, he was a CI of "Zero Trust Architectures for Australia's Critical Infrastructure Security" project funded by the Australian Government. Arash's research work has been reported in industry journals such as AISA's Cyber Today, media outlets such as The Conversation, and he has appeared in live interviews of mainstream media including Australian Broadcasting Corporation (ABC) radio channels to discuss his research activities. He is a board member at the Australian Privacy Foundation (APF), a member of the Australian Computer Society (ACS), Australian Information Security Association (AISA), and IEEE.

Conference Papers
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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
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
2021
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
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
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
2020
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
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
2019
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
2018
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
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
2017
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
2016
Journal articles
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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
2020
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
2014
Book Chapters
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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
2019
Conference Abstracts
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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
2014

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
  • Cyber Security Cooperative Research Centre (CSCRC), "Provably Secure and Efficient Machine-to-Machine Authentication Solutions for IoT Systems", $185,000 [PI], 2021.
  • Strategic Centre for Cyber Security Research and Innovation (CSRI), "Detecting Internet of Thing (IoT) Bots: A Comparative Study", $4,000 [PI], 2020.
  • Strategic Centre for Cyber Security Research and Innovation (CSRI), "Data after Death (DaD): Understanding the Risks to Australians", $10,000 [PI], 2020.
  • Australian Government, "Zero Trust Architectures for Australia's Critical Infrastructure Security", $60,741 [CI, PI: Prof. Robin Doss], 2020.
  • Cyber Security Cooperative Research Centre (CSCRC), Fingerprinting Compromised IoT Devices Based on Power Consumption, $10700 [PI], 2019.
  • Deakin University, School of Information Technology (IT), "Bitcoin Meta-data and Malware C&C Servers", $9,326. [PI], 2019.