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Publications

2020

  1. Singh, R., Chun, S., and Atluri, V. (2020) Developing Machine Learning Models to Automate News Classification, the 21st Int. Conference on Digital Government Research, Poster Session, Seoul Korea.
  2. Chun, S., Li, CY, Toliyat, A. and Geller, J. (2020) Tracking Citizen’s Concerns during COVID-19 Pandemic, in dg.o 2020: the 21st Int. Conference on Digital Government Research, Poster Session, Seoul Korea.
  3. Seungyoon Shin, Dongwook Kim and Soon A. Chun (2020) Transparency in Local Governments in Korea, In dg.o 2020: The 21st Int. Conference on Digital Government Research, June 17–19, 2020, Seoul, S. Korea
  4. Vijay Atluri, Yuan Hong, and Soon Ae Chun (2020) Tutorial: Security, Privacy and Trust for Responsible Innovationsand Governance. In dg.o 2020: The 21st Int. Conference on Digital Government Research, June 17–19, 2020.
  5. Soon Ae Chun, Roshan Singh, Pamela Morgan, Nabil R. Adam, and Vijay Atluri (2020, to appear) Visual Analytics for Global Migration Policy Discovery and NGO Collaboration. In Proceedings of dg.o 20: The 21st Int. Conference on Digital Government Research, June 17-19, 2020, Seoul, S. Korea.
  6. Sayef Iqbal, Soon Ae Chun, and Fazel Keshtkar (2020) Extracting Semantic Pattern from Trolling Data, FLAIRS-33 (accepted)
  7. Sayef Iqbal, Soon Chun and Fazel Keshtkar (2020) Using Computational Linguistics to Extract Semantic Patterns from Trolling Data.Proceedings of IEEE 14th International Conference on Semantic Computing (ICSC 2020): 369-374
  8. Soon Chun, Richard Holowczak, Kannan Dharan, Ruoyu Wang and Soumaydeep Basu, James Geller (2019) Detecting Political Bias Trolls in Twitter Data, 15th International Conference on Web Information Systems and Technologies (WEBIST), Vienna, Austria

2019

  1. Augustee Meshram, Saptarshi Das, Shamik Sural, Jaideep Vaidya, Vijayalakshmi Atluri: ABACaaS: Attribute-Based Access Control as a  Service. CODASPY 2019: 153-155
  2. Saptarshi Das, Shamik Sural, Jaideep Vaidya, Vijayalakshmi Atluri:
    Policy Adaptation in Hierarchical Attribute-based Access Control Systems. ACM Trans. Internet Techn. 19(3): 40:1-40:24 (2019)
  3. Gunjan Batra, Vijayalakshmi Atluri, Jaideep Vaidya, Shamik Sural:
    Deploying ABAC policies using RBAC systems. Journal of Computer Security 27(4): 483-506 (2019)
  4. Sadhana Jha, Shamik Sural, Vijayalakshmi Atluri, Jaideep Vaidya:
    Security analysis of ABAC under an administrative model. IET Information Security 13(2): 96-103 (2019)
  5. Ussama Yaqub, Soon Ae Chun, Vijayalakshmi Atluri, Jaideep Vaidya:
    Social Media Communication of Public Sector Organizations: A Case Study of Northeast US. DG.O 2019: 248-253
  6. Soon Ae Chun, Venkata Avinash Paturu, Shengcheng Yuan, Rohit Pathak, Vijay Atluri and Nabil Adam, Crime Prediction Model using Deep Neural Networks, the 20th Int Conference on Digital Government Research, 2019, Dubai, UAE: 512-514. (Best Poster Award)
  7. Momna Anam, Basit Shafiq, Shafay Shamail, Soon Ae Chun and Nabil Adam (2019) Discovering Events from Social Media for Emergency Planning, 20th Annual International Conference on Digital Government Research, Jun 18-20, 2019, Dubai UAE:109-116.
  8. Han Hu, Hai Phan, James Geller, Stephen Iezzi, Huy Vo and Soon Ae Chun (2019) An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-sphere, MedInfo 2019
  9. Chun, S., J. Vaidya, V. Atluri, B. Shafiq, N. Adam (2018) Citizen-to-Citizen Resource Sharing in Emergency Response, Chapter 5, C. Nunes Silva (ed.), New Approaches, Methods, and Tools in Urban E-Planning, IGI Global: 130-164.
    Also appear in Chapter 29, (2019) Crowdsourcing: Concepts, Methodologies, Tools, and Applications: IGI Global: 578-605.
  10. Lorenzi, D., Chun, S.A., Vaidya, J.S., Shafiq, B., Atluri, V. and Adam, N.R., 2019. Peer: a framework for public engagement in emergency response. In Crowdsourcing: Concepts, Methodologies, Tools, and Applications (pp. 541-559). IGI Global.
  11. Yueqing Zhang, Kevin Nolasco, Sanjila Islam, Jaideep Vaidya, Vijayalakshmi Atluri, Basit Shafiq, Nizar Souayah, Long Term Differential Outcomes of CIDP Patients After Using IVIG, Plasmapheresis, Or Corticosteroids: A Statewide Planning and Research Cooperative System (SPARCS) Study 2002-2014, American Academy of Neurology Annual Meeting, 2019.
  12. Sanjila Islam, Yueqing Zhang, Kevin Nolasco , Jaideep Vaidya, Vijayalakshmi Atluri, Basit Shafiq, Nizar Souayah, Does CIDP Increase The Risk of Acquiring Other Autoimmune Disorders?  A New York State Planning and Research Cooperation System Database Analysis (1998-2014), American Academy of Neurology Annual Meeting, 2019.
  13. Yueqing Zhang, Kevin Nolasco, Sanjila Islam, Jaideep Vaidya, Vijayalakshmi Atluri, Basit Shafiq, Nizar Souayah, Trends In Outpatient And Hospitalization Charges Relevant To the Management of Chronic Inflammatory Demyelinating  Polyneuropathy: A Statewide Planning and Research Cooperative System (SPARCS) Study 2002-2014, American Academy of Neurology Annual Meeting, 2019.
  14. Managing Attribute-Based Access Control Policies in a Unified Framework using Data Warehousing and In-Memory Database, Mahendra Singh, Shamik Sural, Jaideep Vaidya, Vijayalakshmi Atluri, Computers & Security, 86, pp. 183-205, September 2019.
  15. PolTree: A Data Structure for Making Eicient Access Decisions in ABAC”, Ronit Nath, Saptarshi Das, Shamik Sural, Jaideep Vaidya, Vijay Atluri, in Proceedings of the 24th ACM Symposium on Access Control Models and Technologies (SACMAT ’19), June 3-6, 2019, Toronto, Canada.
  16. Saptarshi Das, Shamik Sural, Jaideep Vaidya, Vijayalakshmi Atluri, Gerhard Rigoll: VisMAP: Visual Mining of Attribute-Based Access Control Policies. ICISS 2019: 79-98
  17. Gunjan Batra, Vijayalakshmi Atluri, Jaideep Vaidya, Shamik Sural:
    Policy Reconciliation and Migration in Attribute Based Access Control. ICISS 2019: 99-120

2018

  1. HyPE: A Hybrid Approach toward Policy Engineering in Attribute-Based Access Control, Saptarshi Das, Shamik Sural, Jaideep Vaidya, Vijayalakshmi Atluri, IEEE Letters of the Computer Society, 1(2), pp. 25-29, 2018.
  2. Chun, S., K. Lyons, N.R. Adam, The Smart City of Newark, NJ: Data Analytics Platform for Economic Development and Policy Assessment, Smart City Emergence: Cases from around the World, Leonidas G. Anthopoulos (ed.), Chapter 15: 315-332.