Dr Manoranjan Mohanty

Biography

Manoranjan Mohanty is a lecturer in digital security. Before joining the University of Auckland, he was a postdoc at the Centre for Cyber Security, New York University Abu Dhabi, a research fellow at the University of Auckland, and an ERCIM Alain Bensoussan research fellow in SICS Swedish ICT, Sweden. In 2014, he obtained Ph.D. in Computer Science from the National University of Singapore (NUS), Singapore. He has a master degree (MCA) from Jawaharlal Nehru University (JNU), New Delhi, India, and a bachelor (BSc in Computer Science) degree from the Ravenshaw College, Cuttack, India.

Research | Current

Security and Privacy in Deep Learning, Cloud/Fog/Edge Security and Privacy, Secure Processing, Privacy in Web-Based Health Care, Source Camera Attribution, Explicit Content Detection, Multimedia Forgery Detection, Deep Learning for Forensics (and vice versa).

Teaching | Current

COMPSCI 702 - Security for Smart-Devices

Areas of expertise

Cyber Security, Digital Forensics, Multimedia Security.

Selected publications and creative works (Research Outputs)

  • Shah, M. D., Mohanty, M., & Atrey, P. K. (2019). SecureCSearch: Secure Searching in PDF over Untrusted Cloud Servers. Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019. 10.1109/MIPR.2019.00069
  • Naidu, V., Narayanan, A., & Mohanty, M. (2019). Using Amino Acids of Images for Identifying Pornographic Images. Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019. 10.1109/MIPR.2019.00010
  • Mohanty, M., Zhang, M., & Russello, G. (2019). A Photo Forensics-Based Prototype to Combat Revenge Porn. Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019. 10.1109/MIPR.2019.00009
    Other University of Auckland co-authors: Giovanni Russello
  • Bharill, N., Patel, O. P., Tiwari, A., Mu, L., Li, D.-L., Mohanty, M., ... Prasad, M. (2019). A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering. IEEE ACCESS, 7, 50347-50361. 10.1109/ACCESS.2019.2891956
  • Mohanty, M., Zhang, M., Asghar, M. R., & Russello, G. (2019). e-PRNU: Encrypted Domain PRNU-Based Camera Attribution for Preserving Privacy. IEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2019.2892448
    Other University of Auckland co-authors: Rizwan Asghar, Giovanni Russello
  • Mohanty, M., Zhang, M., Asghar, M. R., & Russello, G. (2018). PANDORA: Preserving Privacy in PRNU-Based Source Camera Attribution. Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018. 10.1109/TrustCom/BigDataSE.2018.00166
    Other University of Auckland co-authors: Rizwan Asghar, Giovanni Russello
  • El-Sayed, H., Sankar, S., Daraghmi, Y.-A., Tiwari, P., Rattagan, E., Mohanty, M., ... Prasad, M. (2018). Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier. Sensors (Basel, Switzerland), 18 (6).10.3390/s18061696
  • Durmus, E., Mohanty, M., Taspinar, S., Uzun, E., & Memon, N. (2018). Image carving with missing headers and missing fragments. 2017 IEEE Workshop on Information Forensics and Security, WIFS 2017. 10.1109/WIFS.2017.8267665

Contact details

Primary office location

SCIENCE CENTRE 303S - Bldg 303S
Level 5, Room 590
38 PRINCES ST
AUCKLAND CENTRAL
AUCKLAND 1010
New Zealand

Social links

Web links