UCD Home | About UCD | UCD News & Events | Virtual Tour | Contact UCD | Staff Directories | UCD Sitemap | UCD Connect

People

Dr. Nhien-An Le-Khac

 

Roleprofile pic

College Lecturer

Contact Details

Email:contact

Phone: +353 1 716 2475

Brief Biography

Dr. Nhien An Le Khac is a Lecturer at the UCD School of Computer Science. He is currently the Program Director of MSc programme in Forensic Computing and Cybercrime Investigation - an international distance learning programme for the law enforcement officers specializing in cybercrime investigations.

Since 2008, he is a Research Fellow in Citibank, Ireland (Citi). He was also a postdoctoral fellow from 2006 in UCD. He obtained his Ph.D in Computer Science in 2005 at the Institut National Polytechnique Grenoble (INPG), France. His research interest spans the area of Data Mining/Distributed Data Mining for Security, Fraud and Criminal Detection, Cloud Security and Privacy, Grid and High Performance computing. He has published more than 60 scientific papers in international peer-reviewed journal and conferences in related disciplines. He has also been in the Program Committee of International Conferences and a regular reviewer for Future Generation of Computer System journal (FGCS, Elsevier).

Book Chapters:

  1. D. Jacobs, N-A. Le-Khac "Vehicle Entertainment System Forensics: A Case Study of Volkswagen Automobile",Twelfth Annual IFIP WG 11.9 International Conference on Digital Forensics, Jan 2016, Chapter in Springer Verlag Advances in Digital Forensics (to publish)
  2. N-A. Le-Khac and M-T. Kechadi "Toward Distributed Knowledge Discovery on Grid systems", Chapter in the Emergent Web Intelligence: Advanced Semantic Technologies, Advanced Information and Knowledge Processing book series, published by Springer Verlag, April 2010, ISBN: 978-1-84996-076-2
  3. Lamine M. Aouad, N-A. Le-Khac and M-Tahar Kechadi, "Knowledge Discovery on Grid Systems", Chapter in “Data Mining: From Data to Knowledge" I-Tech publisher, October 2008
  4. N-A. Le-Khac, Sammer Markos and M-T. Kechadi, "Towards a new Data Mining-based approach for Anti Money laundering in an international investment bank", Chapter in the “Digital Forensics and Cyber Crime”, LNICST series, Goel S. Ed. vol.31, Springer Verlag, April 2010, ISBN: 978-3-642-11533-2 (based on ICDF2C paper)

International Peer-Reviewed Journals:

  1. Van-Loi Cao, N-A. Le-Khac, M O'Neill, M Nicolau, J McDermott, "Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Data", Applications of Evolutionary Computation, LNCS Springer Verlag, Vol. 9597, March 2016 p.35-45
  2. B. Hitchcock, N-A. Le-Khac, M Scanlon, "Tiered forensic methodology model for Digital Field Triage by non-digital evidence specialists", Digital Forensics Research Workshop, DFRWS EU Lausanne, Switzerland, March 2016, published in Digital Investigation Vol.16, March 2016, p.s75-s85, 2016
  3. MV. Barneveld, T. Kechadi and N-A. Le-Khac "A Natural Language Processing tool for White Collar crime investigation", Springer Verlag Transactions on Large-Scale Data and Knowledge-Centered Systems journal, LNCS 9480, January 2016, p.1-22
  4. L.Prat, C. Baker and N-A. Le-Khac, "MapExif: An Image Scanning and Mapping Tool for Investigators", International Journal of Digital Crimes and Forensics (IJDCF), Vol.7 (2), April 2015
  5. M. Faheem, M-T. Kechadi and N-A. Le-Khac, "The State of the Art Forensic Techniques in Mobile Cloud Environment: A Survey, Challenges and Current Trend", International Journal of Digital Crimes and Forensics (IJDCF), Vol.7 (2), April 2015
  6. N-A. Le-Khac and M-T. Kechadi, "Security Threats of URL Shortening: A User's Perspective", Journal of Advance in Computer Networks, Vol.3(3), September 2015
  7. MV. Barneveld, T. Kechadi and N-A. Le-Khac "A Natural Language Processing tool for White Collar crime investigation", Springer Verlag LNCS Transactions on Large-Scale Data and Knowledge-Centered Systems journal, Vol. 22, October 2015
  8. M Faheem, NA Le-Khac, T Kechadi, "Smartphone Forensic Analysis: A Case Study for Obtaining Root Access of an Android Samsung S3 Device and Analyse the Image without an Expensive Commercial Tool", Journal of Information Security Vol.5 No.3, 2014
  9. N-A. Le-Khac, Sammer Markos and M-T. Kechadi, “A Tree-based Approach for Detecting Redundant Business Rules in Very Large Financial Datasets”, IGI Global International Journal of Business Intelligence Research, ISSN 194703605-4059, Vol.3, No.4, 2012
  10. N-A. Le Khac and Kechadi, M-T., "Comparing Two approaches of disguising transaction data applied in detecting suspicious cases of money laundering in an investment bank", Procedia Engineering, Elsevier, Science Direct, 2012
  11. N-A. Le-Khac, Sammer Markos and M-T. Kechadi, “The Feasibility of using an automated Net Asset Value Validation”, Journal of Technology and Investment, ISSN 2150-4059, Vol.1, No.3, August, 2010
  12. Lamine M. Aouad, N-A. Le-Khac and M-Tahar Kechadi. “Performance Study of Distributed Apriori-like Frequent Itemsets Mining”, Knowledge and Information Systems Journal KAIS, Springer Verlag, April 2009 ISSN 0219-1377
  13. N-A. Le-Khac, Lamine M. Aouad and M-T. Kechadi “An efficient Knowledge Management Tool for Distributed Data Mining”, International Journal of Computational Intelligence Research, Vol. 5, No. 1, 2009, ISSN 0974-1259, 2009
  14. Lamine M. Aouad, N-A. Le-Khac and M-T. Kechadi. "Grid-based Approaches for Distributed Data Mining Applications", In Journal of Algorithms & Computational Technology, ISSN 1748-3018, Multi-Science Publishing. Vol.3 No.4, 2009.
  15. N-A. Le-Khac, Lamine M. Aouad and M-T. Kechadi, "Knowledge Map Layer for Distributed Data Mining”", ISAST Transactions on Intelligent Systems, Vol . 1, No. 1 , January 2008
  16. Lamine M. Aouad, N-A. Le-Khac and M-Tahar Kechadi. “Distributed Frequent Itemsets Mining in Heterogeneous Platforms”, Journal of Engineering, Computing and Architecture Vol. 1, Issue 2, 2007 ISSN 1934-7197.
  17. N-A. Le-Khac, Lamine M. Aouad and M-T. Kechadi “Distributed Knowledge Map for Mining Data on Grid Platform”, International Journal of Computer Science and Network Security, Vol. 7, No 10, 2007 ISSN 1738-7906.

International Peer-Reviewed Conferences:

  1. Ryder, Steven and N-A, Le-Khac, "The End of effective Law Enforcement in the Cloud? -- To encrypt, or not to encrypt", The 9th IEEE International Conference on Cloud Computing, San Francisco, CA USA, June 2016
  2. Cushman, Isaac and Chen, Lei and Rawat, Danda and N-A. Le-Khac, "Hybrid Cloud using OpenStack for Supporting Multimedia with Security and Privacy Concerns, 9th EAI International Conference on Mobile Multimedia Communications, Xi'an, China, June 18–19, 2016
  3. N-A. Le-Khac, R. Gomm, M. Scanlon, M-Tahar Kechadi, "Analytical Approach to the Recovery of Data from CCTV File Systems", The 15th European Conference on Cyber Warfare and Security (ECCWS 2016), Munich, Germany, July 2016
  4. F. Kolenbrander, N-A. Le-Khac, M-T. Kechadi, "Forensic Analysis of ARES GALAXY Peer-To-Peer Network", 11th annual ADFSL Conference on Digital Forensics, Security and Law, Florida, USA, May 2016
  5. A. Linke, N-A. Le-Khac, "Control Flow Change in Assembly as a Classifier in Malware Analysis", 4th IEEE International Symposium on Digital Forensics and Security, Arkansas, USA, April 2016
  6. R. Witteman, A. Meijer, N-A. Le-Khac, M-T. Kechadi, "Toward a new tool to extract the Evidence from a Memory Card of Mobile phones", 4th IEEE International Symposium on Digital Forensics and Security, Arkansas, USA, April 2016
  7. R. Braekt, N-A. Le-Khac, J. Farina, M. Scanlon, M-T. Kechadi, "Increasing Digital Investigator Availability Through Efficient Workflow Management And Automation", 4th IEEE International Symposium on Digital Forensics and Security, Arkansas, USA, April 2016
  8. RV. Voorst, T. Kechadi and N-A. Le-Khac. "Forensics Acquisition Of Imvu: A Case Study, 10th International Conference on Systematic Approaches to Digital Forensics Engineering" (SADFE 2015), Sep 30 – Oct 2, 2015, Malaga, Spain published in the Journal of Digital Forensics, Security and Law (JDFSL)
  9. P. V. Vliet and N-A. Le-Khac, "Forensics in Industrial Control System: A Case Study", International Conference on Cybersecurity of Industrial Control Systems, 21st - 22nd September 2015, Vienna, Austria (CyberICS, ESORICS 2015), LNCS
  10. J. Farina, M. Scanlon, N-A. Le-Khac and M-T. Kechadi, "Overview of the Forensic Investigation of Cloud Services", WCSF 2015 workshop, 10th International Conference on Availability, Reliability and Security, Toulouse, France, August 24-28, 2015
  11. J. Farina, M. Scanlon, N-A. Le-Khac and M-T. Kechadi, "HTML5 Zero Configuration Covert Channels: Security Risks and Challenges", The 10th ADFSL Conference on Digital Forensics, Security and Law (ADFSL 2015), Florida, USA, May 19 -21, 2015
  12. Hung V. Cao, K. X. Chu, N-A. Le Khac, M-T. Kechadi, D. Laefer and Linh Hong Truong, "Toward a new approach for massive LiDAR data processing", IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM 2015) July 6 - 7, 2015, Fuzhou, China
  13. H. Schut, J. Farina, M. Scanlon and N-A. Le-Khac, "Towards the Forensic Identification and Investigation of Cloud Hosted Servers through Noninvasive Wiretaps", The 10th International Workshop on Frontiers in Availability, Reliability and Security FARES 2015, Toulouse, France, August 24-28, 2015,
  14. J. Plunkett, M. Tahar Kechadi and N-A. Le-Khac, "Digital Forensic Investigations in the Cloud A Proposed Approach for Irish Law Enforcement", The 11th Annual IFIP WG 11.9 International Conference on Digital Forensics (IFIP WG11.9 2015), Springer Verlag Advances in Digital Forensics XI (to publish), Orlando, Florida, USA, January 26 - 28, 2015
  15. Maarten van Barneveld, N-A. Le-Khac and M. Tahar Kechadi, "Performance Evaluation of a Natural Language Processing approach applied in White Collar crime investigation", 1st International Conference on Future Data and Security Engineering 2014 (FDSE 2014), Springer Verlag LNCS, HoChiMinh City, Vietnam, November 19th-21st, 2014 (accepted)
  16. B. Busstra, M. Tahar Kechadi and N-A. Le-Khac, "Android and Wireless data-extraction using Wi-Fi", 4th IEEE international conference on Innovative Computing Technology (INTECH 2014), Luton, UK, August 13th-15th, 2014
  17. Christos Sgaras, M. Tahar Kechadi and N-A. Le-Khac, "Forensics Acquisition and Analysis of instant messaging and VoIP applications", 6th IAPR International Workshop on Computational Forensics (IWCF 2014), Springer Verlag LNCS, Stockhom, Sweeden, August 24th, 2014
  18. N-A. Le-Khac and M. Tahar Kechadi, "Toward a new cloud-based approach to preserve the privacy for detecting suspicious cases of money laundering", Global Premier International Conference on Cryptography and Security 2014 (ICCS 2014), Bangkok, Thaliand, July 18-20th, 2014
  19. Mark Roeloffs, M. Tahar Kechadi and N-A. Le-Khac, "Forensic Investigation of TomTom Application on Android Mobile devices", The 10th Annual IFIP WG 11.9 International Conference on Digital Forensics (IFIP WG11.9 2014), Springer Verlag LNCS, Vienna, Austria, January 8-10th, 2014
  20. N-A. Le-Khac, B. Wu, C-C. Chen, M. Tahar Kechadi, "Feature Selection Parallel Technique for Remotely Sensed Imagery Classification", The 13th International Conference on Computational Science and Applications (ICCSA 2013), Springer Verlag LNCS Vol.7972, Ho Chi Minh City, Vietnam, June 24-27th, 2013
  21. N-A. Le-Khac, F. Cai, M-T. Kechadi, “An Integrated Classification Model for Financial Data Mining”, 6th Multi-disciplinary International Workshop on Artificial Intelligent, Springer-LNAI, HoChiMinh City, Vietnam, Dec 26-28, 2012
  22. N-A. Le-Khac, F. Cai, M. Tahar Kechadi, “: Clustering Approaches for Financial Data Analysis”, The 8th International conference on Data Mining (DMIN 2012), July 16-19, Nevada, USA
  23. Aouad, L., LeKhac N-A. and Kechadi, M-T. "Cloud An Open Architecture for Digital Evidence Acquisition on Smart Phones", the 8th Annual Workshop on Digital Forensics (IFIP’12), Pretoria, South Africa, January 3-5, 2012
  24. N-A Le Khac and M-Tahar Kechadi, "On a Distributed Approach for Density-based Clustering", IEEE 10th International Conference on Machine Learning and Applications (ICMLA'11), Dec 18 - 21, Hawaii, USA
  25. N-A. LeKhac, Whelan, M., and Kechadi, M-T. ."A New Hybrid Clustering Method for Reducing Very Large Spatio-temporal Dataset", 7th International Conference on Advanced Data Mining and Applications (ADMA 2011),Beijing, China, December 17-19 2011
  26. N-A Le Khac, M. Whelan and M-Tahar Kechadi, “Performance Evaluation of a Density-based Clustering Method for Reducing Very Large Spatio-temporal Dataset”, International Conference on Information and Knowledge Engineering (IKE 2011), July 18-21, 2011, Las Vegas, USA
  27. Michael Whelan, N-A. Le-Khac and M-T. Kechadi, "Comparing two density-based clustering methods for reducing very large spatio-temporal dataset ", IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM 2011) June 29 - July 1, 2011, Fuzhou, China
  28. N-A. Le-Khac and M-T. Kechadi, " Efficient Distributed Approach for Density-Based Clustering ", IEEE International conference On Cooperative Knowledge Discovery and Data Mining 2011 (WETICE 2011), June 28 - 30, 2011, France
  29. N-A. Le-Khac, M. Bue and M-T. Kechadi, “The Impact of Data Reduction Partitioning on Large Spatio-Temporal Data Mining”, The 3rd International Conference on Advances in Databases, Knowledge, and Data Applications, (DBKDA 2011), January 23-28, 2011 St. Maarten, The Netherlands Antilles
  30. N-A. Le-Khac and M-T. Kechadi, "Apply data mining and natural computing in detecting suspicious cases of money laundering in an investment bank: A case study", The 10th IEEE International Conference on Data Mining (ICDM 2010), December 14-17, 2010, Sydney, Australia
  31. N-A. Le-Khac, M. Bue, M. Whelan and M-T. Kechadi, "A knowledge-based data reduction for very large spatio-temporal datasets", The 6th International Conference on Advanced Data Mining and Applications (ADMA2010), Springer Verlag LNAI, November 19-21, 2010, ChongQing, China
  32. N-A. Le Khac and M-Tahar Kechadi, “Comparing Two Approaches of Disguising Transaction Data Applied in Dectecting Suspicious Cases of Money Laundering in an invesment Bank”, IEEE International Conference on Computer and Electrical Engineering (ICCEE 2010), 16-18, November 2010, Chengdu, China
  33. N-A Le Khac, Sammer Markos and M-Tahar Kechadi, “Performance Evaluation of a Knowledge-Based Solution for Detecting Money Laundering in an Investment Bank”, International Conference on Information and Knowledge Engineering (IKE 2010), July 11-14, 2010, Las Vegas, USA (acceptance rate: ~ 27%, impact factor: 0.8/1)
  34. Michael Whelan, N-A. Le-Khac and M-T. Kechadi, " Data Reduction in Very Large Spatio-Temporal Data Sets", IEEE International Workshop On Cooperative Knowledge Discovery and Data Mining 2010 (CDKDD-WETICE 2010), June 28 - 30, 2010, Larissa, Greece
  35. N-A. Le-Khac, Sammer Markos and M-T. Kechadi, "A data mining-based solution for detecting suspicious money laundering cases in an investment bank", The Second International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2010), published by IEEE Xplore, April 11-16, 2010, French Alps, France
  36. N-A. Le-Khac, Sammer Markos and M-T. Kechadi, "A heuristics approach for fast detecting suspicious money laundering cases in an investment bank", International Conference on Software and Knowledge Engineering(ICSKE 2009), Dec 25-27, 2009, Bangkok, Thailand,
  37. N-A. Le-Khac, Sammer Markos and M-T. Kechadi, "Towards a new Data Mining-based approach for Anti Money laundering in an international investment bank", International Conference on Digital Forensics & Cyber Crime (ICDF2C 2009), Springer Verlag LNICST 31, September 30 - October 2, Albany, New York, USA
  38. N-A Le Khac, Sammer Markos, Michael O'Neill, Anthony Brabazon and M-Tahar Kechadi, “An Efficient Search Tool for an Anti-Money Laundering Application of an Multi-National Bank's Dataset”, International Conference on Information and Knowledge Engineering (IKE 2009), July 13-16, 2009, Las Vegas, USA (acceptance rate: ~ 26%, impact factor: 0.8)
  39. N-A. Le-Khac, Sammer Markos and M-T. Kechadi, “An Investigation into Data Mining Approaches for Anti Money Laundering”, International Conference on Knowledge Discovery (ICKD 2009), June 6-8, 2009, Manila, Philippine (acceptance rate: ~40%)
  40. N-A. Le-Khac, Lamine M. Aouad and M-T. Kechadi, “Handling large volumes of mined knowledge with a self-reconfigurable topology on distributed systems”, IEEE Seventh International Conference on Machine Learning and Applications (IEEE ICMLA 2008), December 11-13, 2008, CA, USA (acceptance rate: ~22%)
  41. Lamine M. Aouad, N-A. Le-Khac and M-Tahar Kechadi, “Persistent Workflow on the Grid”, IEEE Asia-Pacific Services Computing Conference (IEEE APSCC 2008) December 9-12, 2008, Yilan, Taiwan
  42. Lamine M. Aouad, N-A. Le-Khac and M-Tahar Kechadi, “A Multi-Stage Clustering Algorithm for Distributed Data Mining Environments”, Colloque sur l’Optimisation et les Systeme d’Information (COSI’08), June 8-10 2008, Tizi-Ouzou, Algeria (acceptance rate: 25%)
  43. N-A. Le-Khac, Lamine M. Aouad and M-T. Kechadi "An Efficient Support Management Tool for Distributed Data Mining Environments" 2nd IEEE International Conference on Digital Information Management (IEEE ICDIM'07), in Cooperation with ACM SIGAPP.fr, Computer society Press, October 28-31, 2007, Lyon, France. (acceptance rate 37%)
  44. Lamine M. Aouad, N-A. Le-Khac and M-Tahar Kechadi, “Grid-based Approach for Distributed Frequent Itemsets Mining using Dynamic Workload Management”, 2nd International Conference on Advances in Information Technology 2007 (IEEE ICAIT 2007), IEEE/ACM sponsors, November 1-2, 2007, Bangkok, Thailand.
  45. Lamine M. Aouad, N-A. Le-Khac and M-Tahar Kechadi, "Grid-based Approaches for Distributed Data Mining applications", International Conference on Distributed Computing and Applications for Business, Engineering and Sciences (DCABES 2007), August 14-17, Hubei, China
  46. Lamine M. Aouad, N-A. Le-Khac and M-Tahar Kechadi, "Lightweight Clustering Technique for Distributed Data Mining Applications", 7th Industrial Conference on Data Mining (ICDM 2007), Springer LNAI 4597, July 14-18, 2007, Leipzig, Germany. (acceptance rate 26%)
  47. N-A. Le-Khac, Lamine M. Aouad and M-Tahar Kechadi "A new approach for Distributed Density Based Clustering on Grid platform", The 24th British National Conference on Databases (BNCOD'07), Springer LNCS 4587, July 3-5, 2007, Glasgow, UK. (acceptance rate 26%)
  48. Lamine M. Aouad, N-A. Le-Khac and M-Tahar Kechadi, "Variance-based Clustering Technique for Distributed data mining Applications", The 2007 International Conference on Data Mining (DMIN'07),June 25-28, 2007, Las Vegas, USA. (acceptance rate 28%)
  49. N-A. Le-Khac, Lamine M. Aouad and M-Tahar Kechadi, "Knowledge Map: Toward a new approach supporting the knowledge management in Distributed Data Mining", KUI track, 3rd IEEE International Conference on Autonomic and Autonomous Systems (IEEE ICAS 2007), Computer Society Press, June 19-25, 2007, Athens, Greece. (acceptance rate 27%)
  50. E. Edi, N-A. Le-Khac and J-M. Vicent "Task Granularity for computations caches" International Computer Science Congress (CICC'06), October 2006, Mexico.
  51. N-A. Le-Khac, M-Tahar Kechadi and J. Carthy, "ADMIRE framework: Distributed Data Mining on Data Grid platforms", International Conference on Software and Data Technologies (ICSOFT 2006), September 11-14, 2006, Setubal, Portugal. (acceptance rate 34%)
  52. N-A. Le-Khac, "Studying the performance of overlapping communication and computation by active message: Inuktitut case", International Conference on Parallel and Distributed Computing and Network (PDCN'06), February 12-14, 2006, Innsbruck, Austria. (CORE Ranking: C)
  53. N-A. Le-Khac and E. Edi, "Performance evaluation of Inuktitut: an efficient interface for asynchronous parallel programming environment Athapascan", International Conference on Parallel and Distributed Computing and Systems (PDCS'05), November 14-16, 2005, Phoenix, USA. (CORE Ranking: C)

Reviewed Abstracts:

  1. N-A. Le-Khac, Lamine M. Aouad and M-Tahar. Kechadi, "An Efficiently Knowledge Map layer for Distributed Data Mining on Grid platform", The 22nd European Conference on Operational Research (Data Mining and Knowledge Engineering Stream), (Euro XXII 2007), July 8-11, 2007, Prague, Czech Republic.
  2. N-A. Le-Khac, H. Fu, M-Tahar Kechadi, "ADMIRE: A new framework for Distributed Data Mining on Grid Computing environments", International Marie Curie Conference (MC2'06), April 10-13, 2006, Manchester, UK.

Textbooks:

  1. N-A. Le-Khac, "An introduction to Operating System", Textbook, Vietnam National University-HoChiMinh City, 2000, Vietnam
back to top