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Muhammad Imran Khan 0001
Person information
- affiliation: Insight Centre for Data Analytics, University College Cork, Ireland
- affiliation: Saarland University, Department of Computer Science, Germany
- affiliation: Petronas University of Technology, Department of Electrical and Electronics Engineering, Teronoh, Malaysia
Other persons with the same name
- Muhammad Imran Khan 0002 — University of Toulouse III, France
- Muhammad Imran Khan 0003 — Ryerson University, Toronto, Canada
- Muhammad Imran Khan 0004 — NUST Military College of Signals, Rawalpindi, Pakistan
- Muhammad Imran Khan 0005 — University of Agriculture, Faisalabad, Pakistan
- Muhammad Imran Khan 0006 — University of Haripur, Pakistan
- Muhammad Imran Khan 0007 — University of Hail, Saudi Arabia (and 1 more)
- Muhammad Imran Khan 0008 — University of Lakki Marwat, Pakistan
- Muhammad Imran Khan 0009 — Prince Mohammad Bin Fahd University, Al-Khobar, Saudi Arabia
- Muhammad Imran Khan 0010 — IICT, BUET, Dhaka, Bangladesh
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2020 – today
- 2021
- [c10]Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan:
Database Intrusion Detection Systems (DIDs): Insider Threat Detection via Behaviour-Based Anomaly Detection Systems - A Brief Survey of Concepts and Approaches. EISA 2021: 178-197 - [c9]Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan:
Privacy Interpretation of Behaviour-based Anomaly Detection Approaches. SIN 2021: 1-7 - 2020
- [b1]Muhammad Imran Khan:
On the detection of privacy and security anomalies. University College Cork, Republic of Ireland, 2020 - [j1]Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan:
Quantitatively Measuring Privacy in Interactive Query Settings Within RDBMS Framework. Frontiers Big Data 3: 11 (2020) - [c8]Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan:
Towards Privacy-anomaly Detection: Discovering Correlation between Privacy and Security-anomalies. FNC/MobiSPC 2020: 331-339 - [i2]Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan:
Database Intrusion Detection Systems (DIDs): Insider Threat Detection via Behavioural-based Anomaly Detection Systems - A Brief Survey of Concepts and Approaches. CoRR abs/2011.02308 (2020) - [i1]Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan:
Privacy Interpretation of Behavioural-based Anomaly Detection Approaches. CoRR abs/2012.11541 (2020)
2010 – 2019
- 2019
- [c7]Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan:
PriDe: A Quantitative Measure of Privacy-Loss in Interactive Querying Settings. NTMS 2019: 1-5 - 2018
- [c6]Muhammad Imran Khan, Barry O'Sullivan, Simon N. Foley:
Towards Modelling Insiders Behaviour as Rare Behaviour to Detect Malicious RDBMS Access. IEEE BigData 2018: 3094-3099 - 2017
- [c5]Muhammad Imran Khan, Barry O'Sullivan, Simon N. Foley:
A Semantic Approach to Frequency Based Anomaly Detection of Insider Access in Database Management Systems. CRiSIS 2017: 18-28 - [c4]Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan:
On database intrusion detection: A Query analytics-based model of normative behavior to detect insider attacks. ICCNS 2017: 12-17 - 2016
- [c3]Muhammad Imran Khan, Simon N. Foley:
Detecting Anomalous Behavior in DBMS Logs. CRiSIS 2016: 147-152 - 2011
- [c2]Muhammad Imran Khan, Varun Jeoti, Aamir Saeed Malik, Muhammad Farhan Khan:
A joint watermarking and encryption scheme for DCT based codecs. APCC 2011: 816-820 - 2010
- [c1]Muhammad Imran Khan, Varun Jeoti, Aamir Saeed Malik:
On Perceptual Encryption: Variants of DCT Block Scrambling Scheme for JPEG Compressed Images. FGIT-SIP/MulGraB 2010: 212-223
Coauthor Index
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