Dr Jianhua Shao

2023

• Xu, Y., Shao, J., Slaats, T. and Düdder, B. 2023. MWPoW+: a strong consensus protocol for intra-shard consensus in blockchain sharding. ACM Transactions on Internet Technology 23(2), article number: 34. (10.1145/3584020)
• AlShuhail, A. and Shao, J. 2023. Semantic attack on disassociated transaction data. Springer Nature 4, article number: 344. (10.1007/s42979-023-01781-6)

2022

• Alsulami, A. and Shao, J. 2022. Extracting attributes for twitter hashtag communities. International Journal of Humanities and Social Sciences 16(3), pp. 171-178.
• Davies, J. R. and Shao, J. 2022. Utility of anonymised data in decision tree derivation. Presented at: ICISSP 2022 : 8th International Conference on Information Systems Security and Privacy, 9 - 11 February 2022.

2021

• AlShuhail, A. and Shao, J. 2021. Semantic attack on disassociated transactions. Presented at: 8th International Conference on Information Systems Security and Privacy (ICISSP 2022), Virtual, 9-11 February 2022.

2020

• Xu, Y., Huang, Y., Shao, J. and Theodorakopoulos, G. 2020. A flexible n/2 adversary node resistant and halting recoverable blockchain sharding protocol. Concurrency and Computation: Practice and Experience 32(19), article number: e5773. (10.1002/cpe.5773)
• Xu, Y., Huang, Y. and Shao, J. 2020. Anchoring the value of cryptocurrency. Presented at: IWBOSE 2020: 3rd International Workshop on Blockchain Oriented Software Engineering, London, Canada, 18 February 20202020 IEEE International Workshop on Blockchain Oriented Software Engineering (IWBOSE). IEEE pp. 30-36., (10.1109/IWBOSE50093.2020.9050264)

2019

• Zolkeply, M. S. and Shao, J. 2019. Classifying software issue reports through association mining. Presented at: 34th ACM/SIGAPP Symposium on Applied Computing, Limassol, Cyprus, 8-12 Apr 2019SAC '19 Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. ACM pp. 1860-1863., (10.1145/3297280.3297608)

2018

• Shao, J. and Tziatzios, A. 2018. Mining range associations for classification and characterization. Data and Knowledge Engineering 118, pp. 92-106. (10.1016/j.datak.2018.10.001)
• Tsaneva, D. and Shao, J. 2018. Assisting investors with collective intelligence. Presented at: International Conference on Data Science, E-learning and Information Systems, Madrid, 01-02 October 2018DATA '18 Proceedings of the First International Conference on Data Science, E-learning and Information Systems. New York, NY: ACM, (10.1145/3279996.3280030)

2017

• Shao, J. and Ong, H. 2017. Exploiting contextual information in attacking set-generalized transactions. ACM Transactions on Internet Technology 17(4), article number: 40. (10.1145/3106165)
• Shao, J. and Beckford, J. 2017. Learning decision trees from anonymized data. Presented at: 8th Annual International Conf on ICT: Big Data, Cloud and Security, Singapore, 21-22 August 2017.

2016

• Shao, J. and Ong, H. 2016. Semantic attack on anonymised transactions. Presented at: FDSE 2014: 1st International Conference on Future Data and Security Engineering 2014, Ho Chi Minh City, Vietnam, 19-21 November 2014 Presented at Hameurlain, A. et al. eds.Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIII: Selected Papers from FDSE 2014, Vol. 9480. Lecture Notes in Computer Science Springer pp. 75-99., (10.1007/978-3-662-49175-1_4)

2015

• Memon, N. and Shao, J. 2015. MR-RBAT: Anonymizing large transaction datasets using MapReduce. Presented at: Data and Applications Security and Privacy XXIX - 29th Annual IFIP WG 11.3 Working Conference, DBSec 2015, Fairfax, VA, USA, 13-15 July 2015.
• Memon, N., Loukides, G. and Shao, J. 2015. A parallel method for scalable anonymization of transaction data. Presented at: 14th International Symposium on Parallel and Distributed Computing, ISPDC 2015, Limassol, Cyprus, 29 June - 2 July 20152015 14th International Symposium on Parallel and Distributed Computing (ISPDC). IEEE pp. 235-241., (10.1109/ISPDC.2015.34)
• Ong, H. and Shao, J. 2015. De-anonymising set-generalised transactions based on semantic relationships. Presented at: Future Data and Security Engineering - First International Conference, FDSE 2014, Ho Chi Minh City, Vietnam, 19-21 November, 2014.

2013

• Loukides, G., Gkoulalas-Divanis, A. and Shao, J. 2013. Efficient and flexible anonymization of transaction data. Knowledge and Information Systems 36(1), pp. 153-210. (10.1007/s10115-012-0544-3)

2012

• Al-Dossari, H., Shao, J. and Preece, A. D. 2012. Improving QoS assessment over multiple attributes with asynchronous data. Computer Systems Science and Engineering 27(2), pp. 133-147.

2011

• Loukides, G. and Shao, J. 2011. Preventing range disclosure in k-anonymised data. Expert Systems with Applications 38(4), pp. 4559-4574. (10.1016/j.eswa.2010.09.130)
• Tziatzios, A., Shao, J. and Loukides, G. 2011. A heuristic method for deriving range-based classification rules. Presented at: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Shanghai, China, 26-28 July 2011 Presented at Ding, Y. et al. eds.Proceedings: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Vol. 2. Los Alamitos, CA: IEEE pp. 925-929., (10.1109/FSKD.2011.6019723)

2010

• Al-Dossari, H., Shao, J. and Preece, A. D. 2010. QoS assessment over multiple attributes. Presented at: 2010 IEEE 10th International Conference on Computer and Information Technology (CIT), Bradford, UK2010 IEEE 10th International Conference on Computer and Information Technology (CIT). pp. 1456-1461., (10.1109/CIT.2010.260)
• Al-Dossari, H., Shao, J. and Preece, A. D. 2010. Handling asynchronous data in assessing QoS over multiple attributes. Presented at: IEEE International Conference on Service-Oriented Computing and Applications, Perth, Australia, 13-15 December 2010IEEE International Conference on Service-Oriented Computing and Applications (SOCA) 2010 Perth, WA, 13-15 Dec. 2010. Piscataway, NJ: IEEE, (10.1109/SOCA.2010.5707145)
• Loukides, G., Gkoulalas-Divanis, A. and Shao, J. 2010. Anonymizing transaction data to eliminate sensitive inferences. Presented at: DEXA 2010: International Conference on Database and Expert Systems Applications, Bilbao, Spain, 30 August - 3 September 2010 Presented at Garcia Bringas, P., Hameurlain, A. and Quirchmayr, G. eds.Database and Expert Systems Applications: 21st International Conference, DEXA 2010, Bilbao, Spain, August 30 - September 3, 2010, Proceedings, Part I, Vol. 6261. Springer Verlag pp. 400-415., (10.1007/978-3-642-15364-8_34)

2009

• Loukides, G., Tziatzios, A. and Shao, J. 2009. Towards preference-constrained k-anonymisation. Lecture Notes in Computer Science 5667, pp. 231-245. (10.1007/978-3-642-04205-8_20)

2008

• Loukides, G. and Shao, J. 2008. An efficient clustering algorithm for k-anonymisation. Journal of Computer Science and Technology 23(2), pp. 188-202. (10.1007/s11390-008-9121-3)

2007

• Smith, R. and Shao, J. 2007. Privacy and e-Commerce: a Consumer-Centric Perspective. Electronic Commerce Research 7(2), pp. 89-116. (10.1007/s10660-007-9002-9)
• Loukidis, G. and Shao, J. 2007. Capturing Data Usefulness and Privacy Protection in K-Anonymisation. Presented at: Proceedings of the 2007 ACM Symposium on Applied Computing. pp. 370-374., (10.1145/1244002.1244091)
• Loukides, G. and Shao, J. 2007. Speeding up clustering-based k-anonymisation algorithms with pre-partitioning. Lecture Notes in Computer Science 4587, pp. 203-214. (10.1007/978-3-540-73390-4_23)
• Loukides, G. and Shao, J. 2007. Greedy clustering with sample-based heuristics for k-anonymisation. Presented at: The First International Symposium on Data, Privacy, and E-Commerce, 2007, Chengdu, Sichuan, 1-3 November 2007Proceedings of the First International Symposium on Data, Privacy, and E-Commerce, 2007. Los Alamitos, CA: IEEE pp. 191-196., (10.1109/ISDPE.2007.102)
• Loukides, G. and Shao, J. 2007. Capturing data usefulness and privacy protection in K-anonymisation. Presented at: 22nd Annual ACM Symposium on Applied Computing, Seoul, Korea, 11-15 March 2007SAC '07 Proceedings of the 2007 ACM Symposium on Applied Computing. New York, NY: ACM pp. 370-374., (10.1145/1244002.1244091)
• Loukides, G. and Shao, J. 2007. Clustering-based K-anonymisation algorithms. Lecture Notes in Computer Science 4653, pp. 761-771. (10.1007/978-3-540-74469-6_74)

2006

• Shercliff, G., Shao, J., Gray, W. A. and Fiddian, N. J. 2006. A multiple quality-space mapping approach to QoS assessment. Presented at: IEEE International Conference on Computer and Information Technology - CIT 2006, Seoul, South Korea, 20-22 September 2006 Presented at Jeong, C. ed.Proceedings of CIT 2006. Los Alamitos, CA: IEEE pp. 26., (10.1109/CIT.2006.15)
• Loukides, G. and Shao, J. 2006. Towards balancing data usefulness and privacy protection in K-anonymisation. Presented at: The Sixth IEEE International Conference on Computer and Information Technology (CIT 2006), Seoul, South Korea, 20-22 September 2006 Presented at Jeong, C. ed.Proceedings of the Sixth IEEE International Conference on Computer and Information Technology (CIT 2006). Los Alamitos, CA: IEEE pp. 15., (10.1109/CIT.2006.184)
• Loukides, G. and Shao, J. 2006. Query-driven data anonymisation. Presented at: 23rd British National Conference on Databases - BNCOD 2006, PhD Forum, Belfast, Northern Ireland, 17-20 July 2006.
• Deora, V., Shao, J., Gray, W. A. and Fiddian, N. J. 2006. Expectation-based quality of service assessment. International Journal on Digital Libraries 6(3), pp. 260-269. (10.1007/s00799-006-0004-3)
• Stockreisser, P. J., Shao, J., Gray, W. A. and Fiddian, N. J. 2006. Supporting QoS monitoring in virtual organisations. Lecture Notes in Computer Science 4294, pp. 447-452. (10.1007/11948148_38)
• Deora, V., Shao, J., Gray, W. A. and Fiddian, N. J. 2006. Supporting QoS based selection in service oriented architecture. Presented at: 2nd International Conference on Next-Generation Web Services Practices, Seoul, Korea, 25-28 September 2006 Presented at Abraham, A. and Han, S. Y. eds.Proceedings of the International Conference on Next-Generation Web Services Practices. Los Alamitos, CA: IEEE Computer Society pp. 117-126., (10.1109/NWESP.2006.29)
• Deora, V., Shao, J., Gray, W. A. and Fiddian, N. J. 2006. Modelling quality of service in service oriented computing. Presented at: Second IEEE International Symposium on Service-Oriented System Engineering, Shanghai, China, 25-26 October 2006 Presented at Chi, C., Bastani, F. and Xue, X. eds.Second IEEE International Symposium on Service-Oriented System Engineering : SOSE 2006 : proceedings. Los Alamitos, CA: IEEE Computer Society pp. 95-101., (10.1109/SOSE.2006.22)
• Shercliff, G., Shao, J., Gray, W. A. and Fiddian, N. J. 2006. QoS assessment of providers with complex behaviours: An expectation-based approach with confidence. Lecture Notes in Computer Science 4294, pp. 378-389. (10.1007/11948148_31)

2005

• Shao, J., Ibrahim, Y. and Embury, S. M. 2005. An approach to tracking data derivation in information systems. Presented at: Fifth International Conference on Computer and Information Technology, 2005. CIT 2005, Shanghai, China, 21-23 September 2005 Presented at Gu, N. et al. eds.Proceedings of the Fifth International Conference on Computer and Information Technology, 2005. CIT 2005. Los Alamitos, CA: IEEE pp. 65-69., (10.1109/CIT.2005.63)
• Preece, A. D. et al. 2005. Managing Virtual Organisations on the Grid using agent technology. AgentLink News 17, pp. 14-17.
• Patel, J. et al. 2005. Agent-based virtual organisations for the Grid. Presented at: AAMAS '05 - Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, Utrecht, Netherlands, July 25-29 2005, Utrecht, Netherlands, 25-29 July 2005AAMAS '05 Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems. pp. 1151-1152., (10.1145/1082473.1082668)
• Patel, J. et al. 2005. Monitoring, policing and trust for gridbBased virtual organisations. Presented at: UK e-Science All Hands Meeting 2005, Nottingham, UK, 19-22 September 2005Proceedings of the UK e-Science All Hands Meeting 2005. EPSRC pp. 891-898.
• Patel, J. et al. 2005. Agent-based virtual organisations for the Grid. Multiagent and Grid Systems - Smart Grid Technologies & Market Models 1(4), pp. 237-249.

2004

• Fu, G., Shao, J., Embury, S. M. and Gray, W. A. 2004. Algorithms for analysing related constraint business rules. Data & knowledge engineering 50(2), pp. 215-240. (10.1016/j.datak.2004.01.006)
• Norman, T. J. et al. 2004. Agent-based formation of virtual organisations. Knowledge-based systems 17(2-4), pp. 103-111. (10.1016/j.knosys.2004.03.005)
• Deora, V., Shao, J., Shercliff, G., Stockreisser, P. J., Gray, W. A. and Fiddian, N. J. 2004. Incorporating QoS specifications in service discovery. Lecture Notes in Computer Science 3307, pp. 252-263. (10.1007/978-3-540-30481-4_25)
• Norman, T. J. et al. 2004. CONOISE: Agent-based formation of virtual organisations. Presented at: 23rd SGAI International Conference on Innovative Techniques and Applications of AI (AI-2003), Cambridge, UK, 15-17 December 2003 Presented at Coenen, F., Preece, A. D. and Macintosh, A. eds.Research and Development in Intelligent Systems XX : Proceedings of AI2003, the Twenty-Third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence /. BCS Conference Series London: Springer pp. 353-366.
• Shao, J. et al. 2004. Supporting formation and operation of virtual organisations in a grid environment. Presented at: UK e-Science All Hands Meeting 2004 (AHM2004), Nottingham, UK, 31 August – 3 September 2004 Presented at Cox, S. J. ed.Proceedings of the UK e-Science All Hands Meeting 2004. The Engineering and Physical Sciences Research Council (EPSRC) pp. 376-383.
• Willmor, D., Embury, S. M. and Shao, J. 2004. Program slicing in the presence of database state. Presented at: 20th International Conference on Software Maintenance, Chicago, IL, USA, 11-17 September 2004ICSM 2004: 20th IEEE International Conference on Software Maintenance : proceedings. Los Alamitos, CA: IEEE Computer Society pp. 448-452., (10.1109/ICSM.2004.1357833)

2001

• Fu, G., Shao, J., Embury, S. M., Gray, W. A. and Liu, X. 2001. A framework for business rule presentation. Presented at: 12th International Workshop on Database and Expert Systems Applications, Munich, Germany, 3-7 September 2001Proceedings of the 12th International Workshop on Database and Expert Systems Applications, 2001.. IEEE pp. 922-926., (10.1109/DEXA.2001.953173)
• Shao, J., Liu, X., Fu, G., Embury, S. M. and Gray, W. A. 2001. Querying Data-Intensive Programs for Data Design. Lecture Notes in Computer Science 2068, pp. 203-218. (10.1007/3-540-45341-5_14)