A/Prof Hossein Ghodosi ~ Associate Professor

Hossein Ghodosi's research interests range from theoretical aspects of modeling and system design, to applications and their analysis in Cryptography. His primary research area as a PhD student was the study of Society-Oriented and/or Threshold Cryptography. His dissertation, entitled 'Society-Oriented Cryptographic Techniques for Information Protection' supervised by Professor Josef Pieprzyk at University of Wollongong, Australia (1998).

Currently his principle research themes are: Multi-Party Computations, Oblivious Transfers, and Secret Sharing Schemes.

Teaching

• CP1409: Operating Systems and Shell Scripting (Level 1; TSV)
• CP3404: Information Security (Level 3; TSV)
• CP5045: Information Technology Project (Level 5; TSV)
• CP5090: Scientific Research Methods (Level 5; CNS & TSV)
• CP5601: Advanced Data Communications Principles (Level 5; CNS)
• CP5602: Advanced Algorithm Analysis (Level 5; CNS)
• CP5603: Advanced E-Security (Level 5; TSV)

Interests

Research

• Secret Sharing Schemes
• Threshold Cryptography
• Multi-Party Computation
• Oblivious Transfers
• Digital Rights Management

Teaching

• Information Security
• Cryptography
• Advanced Algorithm Analysis

Experience

• 2017 to present - Associate Professor, James Cook University (Townsville, AUSTRALIA)
• 2007 to 2016 - Senior Lecturer, James Cook University (Townsville, AUSTRALIA)
• 1999 to 2006 - Lecturer, James Cook University (Townsville, AUSTRALIA)
• 1995 to 1998 - PhD Student (in Computer Science), University of Wollongong (Wollongong, AUSTRALIA)
• 1991 to 1994 - MSc Student (in Computer Science), University of Wollongong (Wollongong, AUSTRALIA)
• 1975 to 1990 - Operator; System Programmer; Technical Advisor/Consultant, in Computer Center of Tehran University (Tehran, IRAN)
• 1971 to 1975 - Undergraduate Student (in Mathematics and Computer Science), Tehran University (Tehran, IRAN)

Research Disciplines

• Cybersecurity and privacy (4604)
• Theory of computation (4613)

Socio-Economic Objectives

• Information systems, technologies and services (2204)

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

• Cianciullo L and Ghodosi H (2022) Unconditionally Secure Oblivious Polynomial Evaluation: A Survey and New Results. Journal of computer science and technology, 37 (2). pp. 443-458
• Li X, Ghodosi H, Chen C, Sankupellay M and Lee I (2022) Improving Network-Based Anomaly Detection in Smart Home Environment. Sensors, 22 (15).
• Cianciullo L and Ghodosi H (2021) Outsourced cheating detection for secret sharing. International Journal of Information Security, 20. pp. 871-878
• Prihandoko A, Ghodosi H and Litow B (2017) White-box implementation to advantage DRM. International Journal on Advanced Science, Engineering and Information Technology, 7 (2). pp. 460-467

Conference Papers

• Hamidi A and Ghodosi H (2022) Verifiable DOPE from Somewhat Homomorphic Encryption, and the Extension to DOT. Lecture Notes in Computer Science. In: SciSec 2022: 4th International Conference on Science of Cyber Security, 10-12 August 2022, Matsue, Japan
• Hamidi A and Ghodosi H (2021) Secure Multi-Party Computation Using Pre-distributed Information from an Initializer. Communications in Computer and Information Science. In: ICSP 2021: 2nd International Conference on Security and Privacy, 16-17 November 2021, Jamshedpur, India
• Prihandoko A and Ghodosi H (2021) Blind Decryption for Preserving Privacy in the DRM System. Proceedings of the International Conference on Computer Science, Information Technology, and Electrical Engineering. In: ICOMITEE 2021: International Conference on Computer Science, Information Technology, and Electrical Engineering, 27-28 October 2021, Banyuwangi, Indonesia
• Cianciullo L, Ghodosi H, Thuremilla K and Prihandoko A (2019) Flaws in strong t-consistency. Proceedings of the 2019 International Conference on Computer Science, Information Technology, and Electrical Engineering. In: ICOMITEE 2019: 2019 International Conference on Computer Science, Information Technology, and Electrical Engineering, 16-17 October 2019, Jember, Indonesia
• Cianciullo L and Ghodosi H (2019) Efficient information theoretic multi-party computation from oblivious linear evaluation. Lecture Notes in Computer Science. In: Information Security Theory and Practice, 12th IFIP WG 11.2 International Conference, WISTP 2018, 10 - 11 December 2018, Brussels, Belgium
• Cianciullo L and Ghodosi H (2019) Unconditionally secure distributed oblivious polynomial evaluation. Lecture Notes in Computer Science. In: Information Security and Cryptology – ICISC 2018, 28-30 November 2018, Seoul, South Korea
• Cianciullo L and Ghodosi H (2018) Improvements to almost optimum secret sharing with cheating detection. Lecture Notes in Computer Science. In: IWSEC: 13th International Workshop on Security, 3-5 September 2018, Sendai, Japan
• Prihandoko A and Ghodosi H (2017) Oblivious content distribution system to advantage Digital Rights Management. Proceedings of the 4th International Conference on Computer Applications and Information Processing and Technology. In: CAIPT 2017: 4th International Conference on Computer Applications and Information Processing and Technology, 8-10 August 2017, Kuta Bali, Indonesia

More

ResearchOnline@JCU stores 54+ research outputs authored by A/Prof Hossein Ghodosi from 1997 onwards.

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

Current

• Improving scalability, privacy and security of Blockchain Technology (PhD , Primary Advisor/AM/Adv)
• Secure machine learning for voice assistant applications. (PhD , Advisor Mentor)

Completed

• Investigation of unconditionally secure multi-party computation (2023, PhD , Primary Advisor)
• Developing deep learning methods for aquaculture applications (2020, Masters , Secondary Advisor/AM)