Dr Shao Shao

2023

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

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. et al. 2020. A flexible n/2 adversary node resistant and halting recoverable blockchain sharding protocol. Concurrency and Computation: Practice and Experience 32 (19) 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 2020. 2020 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 2019. SAC '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 2018. DATA '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 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.
• Shao, J. and Ong, H. 2017. Exploiting contextual information in attacking set-generalized transactions. ACM Transactions on Internet Technology 17 (4) 40. (10.1145/3106165)

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. Published in: Hameurlain, A. et al., 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. , 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 2015. 2015 14th International Symposium on Parallel and Distributed Computing (ISPDC). IEEE. , pp.235-241. (10.1109/ISPDC.2015.34)
• 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.
• 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. Published in: Ding, Y. et al., 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. 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 2010. IEEE International Conference on Service-Oriented Computing and Applications (SOCA) 2010 Perth, WA, 13-15 Dec. 2010. Piscataway, NJ: IEEE(10.1109/SOCA.2010.5707145)
• 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)
• 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. Published in: 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

• 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)
• 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 2007. Proceedings 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. 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)
• 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 Seoul, South Korea 11-15 March 2007. SAC '07 Proceedings of the 2007 ACM Symposium on Applied Computing. New York, NY: ACM. , pp.370-374. (10.1145/1244002.1244091)
• 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)

2006

• Deora, V. et al. 2006. Expectation-based quality of service assessment. International Journal on Digital Libraries 6 (3), pp.260-269. (10.1007/s00799-006-0004-3)
• Deora, V. et al. 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. Published in: 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)
• Deora, V. et al. 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. Published in: 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)
• 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.
• 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. Published in: 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)
• Shercliff, G. et al. 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. Published in: Jeong, C. ed. Proceedings of CIT 2006. Los Alamitos, CA: IEEE. , pp.26. (10.1109/CIT.2006.15)
• Shercliff, G. et al., 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)
• Stockreisser, P. J. et al., 2006. Supporting QoS monitoring in virtual organisations. Lecture Notes in Computer Science 4294 , pp.447-452. (10.1007/11948148_38)

2005

• 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 2005. AAMAS '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 2005. Proceedings 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.
• Preece, A. D. et al. 2005. Managing Virtual Organisations on the Grid using agent technology. AgentLink News 17 , pp.14-17.
• 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. Published in: Gu, N. et al., 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)

2004

• Deora, V. et al. 2004. Incorporating QoS specifications in service discovery. Lecture Notes in Computer Science 3307 , pp.252-263. (10.1007/978-3-540-30481-4_25)
• Fu, G. et al. 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. 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. Published in: 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.
• 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)
• 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. Published in: 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 2004. ICSM 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. et al. 2001. A framework for business rule presentation. Presented at: 12th International Workshop on Database and Expert Systems Applications Munich, Germany 3-7 September 2001. Proceedings of the 12th International Workshop on Database and Expert Systems Applications, 2001.. IEEE. , pp.922-926. (10.1109/DEXA.2001.953173)
• Shao, J. et al. 2001. Querying Data-Intensive Programs for Data Design. Lecture Notes in Computer Science 2068 , pp.203-218. (10.1007/3-540-45341-5_14)