Publications
- Alian Yu*, Jian Kang*, Wei Jiang, Dan Lin, “Highly Efficient and Scalable Access Control Mechanism for IoT Devices in Pervasive Environments”, IEEE Transactions on Dependable and Secure Computing (TDSC), 2024. (Impact Factor = 7.329)
- Alian Yu*, Jian Kang*, Joshua Morris*, Elisa Bertino, Dan Lin, “Fight Malware Like Malware: A New Defense Method Against Crypto Ransomware”, IEEE Transactions on Dependable and Secure Computing (TDSC), 2024.
- Ke Li*, Cameron Baird*, Dan Lin, “Defend Data Poisoning Attacks on Voice Authentication“, IEEE Transactions on Dependable and Secure Computing (TDSC), 2023. (Impact Factor = 7.329)
- Chaoquan Cai*, Dan Lin, “Find Another Me Across the World – Large-scale Semantic Trajectory Analysis Using Spark“, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (Impact Factor=6.977)
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Jian Kang*, and Dan Lin, “Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections without a Stop“, IEEE Transactions on Intelligent Transportation Systems (TITS), 2022. (Impact Factor = 9.936)
- Tao Jiang, Bin Zhang, Dan Lin, Yunjun Gao, Qing Li, “Efficient parallel processing of high-dimensional spatial kNN queries”, Soft Computing, 2022. (Impact Factor=3.732)
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Joshua Morris*, Sara Newman*, Kannappan Palaniappan, Jianping Fan, and Dan Lin, “Do You Know You Are Tracked by Photos That You Didn’t Take: Location-Aware Multi-Party Image Privacy Protection“, IEEE Transactions on Dependable and Secure Computing (TDSC), 2021. (Impact Factor = 7.329)
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Danlu Liu, Yu Li, William Baskett, Dan Lin, Chi-Ren Shyu, “RHPTree-Risk Hierarchical Pattern Tree for Scalable Long Pattern Mining”, ACM Transactions on Knowledge Discovery from Data (TKDD), 2021. (Impact Factor = 2.01)
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Dalton Cole*, Sara Newman*, Dan Lin, “A New Facial Authentication Pitfall and Remedy in Web Services“, IEEE Transactions on Dependable and Secure Computing (TDSC), 2021. (Impact Factor = 7.329)
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Tao Jiang, Bin Zhang, Dan Lin, Yunjun Gao, Li Qing, “Efficient column-oriented processing for mutual subspace skyline queries”, Soft Computing, 2020. (Impact factor = 3.643).
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Jian Kang*, Doug Steiert*, Dan Lin, and Yanjie Fu, “MoveWithMe: Location Privacy Preservation for Smartphone Users“, IEEE Transactions on Information Forensics & Security (TIFS), 2020. (Impact Factor = 7.178)
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Dan Lin, Douglas Steiert*, Joshua Morris*, Anna Squicciarini, and Jianping Fan, “REMIND: Risk Estimation Mechanism for Images in Network Distribution“, IEEE Transactions on Information Forensics & Security (TIFS), 2020. (Impact Factor = 7.178)
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Katrina Ward*, Dan Lin, Sanjay Madria, “A Parallel Algorithm For Anonymizing Large-Scale Trajectory Data”, ACM Transactions on Data Science (TDS), 2020.
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Adam Bowers*, Cong Liao, Douglas Steiert*, Dan Lin, Anna Squicciarini, Ali Hurson, “Detecting Suspicious File Migration or Replication in the Cloud“, IEEE Transactions on Dependable and Secure Computing (TDSC), 2019. (Impact Factor = 7.329)
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Douglas McGeehan*, Sanjay Madria, Dan Lin, “Effective Social-context based Message Delivery Using ChitChat in Sparse Delay Tolerant Networks”, Distributed and Parallel Databases, 2019. (Impact Factor = 1.5)
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Pengyang Wang, Yanjie Fu, Jiawei Zhang, Xiaolin Li, Dan Lin, “Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs”, ACM Transactions on Intelligent Systems and Technology (TIST), 2018. (Impact Factor = 2.672)
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Jian Kang*, Dan Lin, Wei Jiang, Elisa Bertino, “Highly Efficient Randomized Authentication in VANETs“, Pervasive and Mobile Computing, 2018. (Impact Factor = 3.453)
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Jun Yu, Zhenzhong Kuang, Baopeng Zhang, Wei Zhang, Dan Lin, Jianping Fan, “Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing“, IEEE Transactions on Information Forensics & Security (TIFS), 2018. (Impact Factor = 7.178)
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Dan Lin, Nicholas Hilbert*, Christian Storer*, Wei Jiang, Jianping Fan, “UFace: Your Universal Password That No One Can See“, Computer & Security, 2017. (Impact Factor = 4.438)
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Jingwei Li, Adam Bowers*, Dan Lin, Peng Jiang, Wei Jiang, “PAS: Policy-based Assistance in Sensor Networks”, Computing, 2017. (Impact Factor= 2.22)
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Jianping Fan, Zhenzhong Kuang, Baopeng Zhang, Jun Yu, Dan Lin, “iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning“, IEEE Transactions on Information Forensics and Security (TIFS), 2016. (Impact Factor = 7.178)
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Dan Lin, Anna Cinzia Squicciarini, Venkata Nagarjuna Dondapati*, Smitha Sundareswaran, “A Cloud Brokerage Architecture for Efficient Cloud Service Selection“, IEEE Transactions on Services Computing (TSC), 2016. (Impact Factor = 8.216)
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Dan Lin, Jian Kang*, Anna Squicciarini, Yingjie Wu, Sashi Gurung, and Ozan Tonguz, “MoZo: A Moving Zone Based Routing Protocol Using Pure V2V Communication in VANETs“, IEEE Transactions on Mobile Computing (TMC), 2016. (Impact Factor = 7.9)
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Jingwei Li*, Dan Lin, Anna Squicciarini, Jin Li and Chunfu Jia, “Towards Privacy-Preserving Storage and Retrieval in Multiple Clouds”, IEEE Transactions on Cloud Computing (TCC), 2016. (Impact Factor = 6.5)
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Jingwei Li*, Anna Squicciarini, Dan Lin, Smitha Sundareswaran, and Chunfu Jia, “MMBcloud-tree: Authenticated Index for Verifiable Cloud Service Selection“, Transactions on Dependable and Secure Computing (TDSC), 2016. (Impact Factor = 7.329)
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Tao Jiang, Bing Zhang, Dan Lin, Yunjun Gao and Qing Li, “Incremental evaluation of top-k combinatorial metric skyline query”, Knowledge-Based Systems, volume 74, pages 89-105, 2015. (Impact Factor=8.038)
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Sushama Karumanchi*, Anna Squicciarini, Dan Lin, “Attribute-Based Access Control in Vehicular Ad-hoc Networks”, Telecommunication Systems Journal, Springer, 2015. (Impact Factor = 2.314)
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Anna Squicciarini, Dan Lin, Smitha Sundareswaran*, and Josh Wede, “Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2014. (Impact Factor=6.977)
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Lasanthi Heendaliya*, Dan Lin, and Ali Hurson, “Continuous Predictive Line Queries for On-the-go Traffic Estimation”, Transactions on Large-Scale Data and Knowledge-Centered Systems, 2014.
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Sashi Gurung*, Dan Lin, Wei Jiang, Ali Hurson, and Rui Zhang, “Traffic Information Publication with Privacy Preservation”, ACM Transactions on Intelligent Systems and Technology (TIST), 2014. (Impact Factor = 2.672)
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Tao Jiang, Yunjun Gao, Bin Zhang, Dan Lin, and Qing Li, “Monochromatic and Bichromatic Mutual Skyline Queries”, Expert Systems with Applications, 2015. (Impact Factor = 6.954)
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Anna Squicciarini, Dan Lin, Sushama Karumanchi*, and Nicole Desisto, “Identifying Hidden Social Circles for Advanced Privacy Configuration”, Computers & Security, 2014. (Impact Factor = 4.438)
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Dan Lin, Prathima Rao*, Rodolfo Ferrini, Elisa Bertino, Jorge Lobo, “A Similarity Measure for Comparing XACML Policies”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2012. (Impact Factor=6.977)
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Lasanthi Heendaliya*, Dan Lin, Ali Hurson, , “Predictive Line Queries for Traffic Forecasting”, Transactions on Large-Scale Data and Knowledge-Centered Systems, 2012.
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Anna Squicciarini, Smitha Sundareswaran*, Dan Lin, and Shuo Huang, “Ensuring Distributed Accountability for Data Sharing in the Cloud“, in IEEE Transactions on Dependable and Secure Computing (TDSC),2012. (Impact Factor = 7.329)
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Rui Zhang, Jiangzhong Qi, Dan Lin, Wei Wang, Raymond Wong, “A Highly Optimized Algorithm for Continuous Intersection Join Queries over Moving Objects”, VLDB Journal, 2011. (Impact Factor = 2.868)
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Prathima Rao*, Dan Lin, Elisa Bertino, Ninghui Li, Jorge Lobo, “Fine-Grained Integration of Access Control Policies” Computer & Security, 2011. (Impact Factor = 4.438)
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Alex Hindle, Jie Shao, Dan Lin, Jiaheng Lu, Rui Zhang, “Clustering Web Video Search Results based on Integration of Multiple Features”, World Wide Web Journal (WWWJ), 2011. (Impact Factor = 2.716)
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Dan Lin, Prathima Rao*, Elisa Bertino, Ninghui Li, Jorge Lobo, “EXAM – A Comprehensive Environment for the Analysis of Access Control Policies“, International Journal of Information Security, 2010. (Impact Factor = 1.988)
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Dan Lin, Elisa Bertino, Reynold Cheng, Sunil Prabhakar, “Location Privacy in Moving-Object Environments” , Transactions on Data Privacy, Vol(2):1, pages: 21 – 46, 2009. (Impact Factor = 1.1)
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Elisa Bertino, Carolyn Brodie, Seraphin Calo, Lorrie Cranor, Clare-Marie Karat, John Karat, Ninghui Li, Dan Lin, Jorge Lobo, Qun Ni, Prathima Rao, and Xiping Wang, “Analysis of Privacy and Security Policies”, IBM Systems Journal, 2009. (Impact Factor = 1.266)
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Christian S. Jensen, Dan Lin, and Beng Chin Ooi, “Continuous Clustering of Moving Objects”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2007. (Impact Factor=6.977)
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Dan Lin, Rui Zhang, Aoying Zhou, “Indexing Fast Moving Objects for KNN Queries Based on Nearest Landmarks”, GeoInformatica Journal, 2006. (Impact Factor=2.684)
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Bin Cui, Dan Lin, Kian-Lee Tan, “IMPACT: A Twin-index Framework for Efficient Moving Object Query Processing”, Data & Knowledge Engineering (DKE), 2005. (Impact Factor=1.992)
- Tyler Nicewarner*, Wei Jiang, Aniruddha Gokhale, Dan Lin, “Provable Privacy Guarantee for Individual Identities and Locations During Virus Contact Tracing“, under submission.
- Yu Alian*, Jian Kang, and Dan Lin, “AI-Enabled Efficient Traffic Scheduling for Autonomous Vehicles”, IEEE Consumer Communications & Networking Conference (CCNC), 2025. (acceptance rate = 34.8%)
- Ke Li*, Cameron Baird*, and Dan Lin, “Can We Trust Your Voice? Exploring Vulnerabilities in Voice Authentication”, IEEE Consumer Communications & Networking Conference (CCNC), 2025. (acceptance rate = 34.8%)
- David Gao*, Ian Miller*, Ali Allami*, Dan Lin, “Preserving Privacy During Reinforcement Learning With AI Feedback”, IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS), 2024.
- Tyler Nicewarner*, Alex Esser*, Alian Yu*, Dan Lin, “Advanced Privacy-Preserving Data Aggregation for Accurate Traffic Flow Prediction”, 27th IEEE International Conference on Intelligent Transportation Systems (ITSC), 2024.
- Srikanth Narayanan*, Chaoquan Cai*, Dan Lin, “GeoGRCNN: Synthetic Trajectory Generation for Location Privacy Protection”, IEEE Computers, Software, and Applications Conference (COMPSAC), 2024.
- Jay Barot*, Ali Allami, Yin Ming. Dan Lin,”ToneCheck: Unveiling the Impact of Dialects in Privacy Policy”, ACM symposium on access control models and technologies (SACMAT), 2024.
- Tyler Nicewarner*, Alian Yu*, Wei Jiang, Dan Lin, “Preserving Location Privacy in the Modern Era of Pervasive Environments”, IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS), 2023.
- Chaoquan Cai*, Wei Jiang, Dan Lin, “Social Community Recommendation based on Large-scale Semantic Trajectory Analysis Using Deep Learning“, the 18th International Symposium on Spatial and Temporal Data (SSTD), 2023.
- Jian Kang*, Alian Yu*, Wei Jiang, Dan Lin, “FACT: A Flexible Access Control Technique for Very Large Scale Public IoT Services”, IEEE International Conference on Pervasive Computing and Communications (Percom), 2023.
- Ian Miller*, Dan Lin, “Developing Self-evolving Deepfake Detectors Against AI Attacks”, IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS), 2022.
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Jian Kang*, Alian Yu*, Wei Jiang, Dan Lin, “NWADE: A Neighborhood Watch Mechanism for Attack Detection and Evacuation in Autonomous Intersection Management“, 42nd IEEE International Conference on Distributed Computing Systems (ICDCS), 2022.
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Adam Bowers*, Jize Du, Dan Lin, Wei Jiang, “Easy-to-Implement Two-Server based Anonymous Communication with Simulation Security“, 17th ACM ASIA Conference on Computer and Communications Security (AsiaCCS), 2022. (acceptance rate = 18.4%)
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Imad Eddine Toubal, Linquan Lyu, Dan Lin, Kannappan Palaniappan, “Single View Facial Age Estimation Using Deep Learning with Cascading Random Forests” (3rd place winner), The 19th International Conference on Computer Analysis of Images and Patterns (CAIP), 2021.
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Jian Kang*, Dan Lin, “DASH: A Universal Intersection Traffic Management System for Autonomous Vehicles“, IEEE International Conference on Distributed Computing Systems (ICDCS), 2020. (Rank A by CORE)
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Nitish Uplavikar*, Jaideep Vaidya, Dan Lin and Wei Jiang, “Privacy-Preserving Friend Recommendation in an Integrated Social Environment”, 16th International Conference on Information Systems Security, 2020. (acceptance rate = 21%)
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Jian Kang*, Dan Lin, Elisa Bertino, Ozan Tonguz, “From Autonomous Vehicles to Vehicular Clouds: Challenges of Management, Security and Dependability”, IEEE International Conference on Distributed Computing Systems (ICDCS), 2019.
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Joshua Morris*, Dan Lin, Anna Squicciarini, “FriendGuard: A Friend Search Engine with Guaranteed Friend Exposure Degree” (Best Paper Award), ACM symposium on access control models and technologies (SACMAT), 2019.
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Dakshak Keerthi Chandra*, Weerdhawal Chowgule*, Yanjie Fu, and Dan Lin, “RIPA: Real-time Image Privacy Alert System”, IEEE International Conference on Collaboration and Internet Computing (CIC), 2018. (acceptance rate = 26%)
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Wei Jiang, Dan Lin, Feng Li*, Elisa Bertino, “No One Can Track You: Randomized Authentication in Vehicular Ad-hoc Networks“, IEEE International Conference on Pervasive Computing and Communications (PerCom), 2017.
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Jian Kang*, Yousef Elmehdwi and Dan Lin, “SLIM: Secure and Lightweight Identity Management in VANETs with Minimum Infrastructure Reliance”, 13th International Conference on Security and Privacy in Communication Networks (SecureComm), 2017.
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Anna Squicciarini, Andrea Novelli, Dan Lin, Haoti Zhong, and Cornelia Caragea, “From Tag to Protect: A Tag-Driven Policy Recommender System for Image Sharing”, Privacy, Security and Trust (PST), 2017.
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Zhenzhong Kuang, Zongmin Li, Dan Lin, Jianping Fan, “Automatic Privacy Prediction to Accelerate Social Image Sharing”. IEEE International Conference on Multimedia Big Data (BigMM), 2017.
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Jun Yu, Zhenzhong Kuang, Zhou Yu, Dan Lin, Jianping Fan, “Privacy Setting Recommendation for Image Sharing”, 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017.
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Katrina Ward*, Dan Lin and Sanjay Madria, “MELT: Mapreduce-based Efficient Large-scale Trajectory Anonymization”, 29th International Conference on Scientic and Statistical Database Management (SSDBM), 2017.
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Douglas Steiert*, Dan Lin, Quincy Conduff*, Wei Jiang, “A Location-Privacy Approach for Continuous Queries” (Poster), 22th ACM symposium on access control models and technologies (SACMAT), 2017.
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Adam Bowers*, Dan Lin, Anna Squicciarini, Ali Hurson, “Real-time Detection of Illegal File Transfers in the Cloud” (Poster), IEEE International Conference on Distributed Computing Systems (ICDCS), 2017.
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Cong Liao, Anna Squicciarini Dan Lin, “LAST-HDFS: Location-Aware Storage Technique for Hadoop Distributed File System”, IEEE International Conference on Cloud Computing (CLOUD) (acceptance rate=16.7%), 2016.
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Douglas McGeehan*, Dan Lin, Sanjay Madria, “ChitChat: An Effective Message Delivery Method in Sparse Pocket-Switched Networks”, 36th IEEE International Conference on Distributed Computing Systems (ICDCS), 2016.
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Lasanthi Heendaliya*, Michael Wisely, Dan Lin, Sahra Sedigh, and Ali Hurson, “Influence-aware Predictive Density Queries Under Road-network Constraints”, 14th International Symposium on Spatial and Temporal Databases (SSTD), 2015.
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Jingwei Li*, Anna Squicciarini, Dan Lin, Shuang Liang, and Chunfu Jia, “SecLoc: Securing Location-Sensitive Storage in the Cloud”, ACM symposium on access control models and technologies (SACMAT), 2015.
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Anna Squicciarini, Dan Lin, Smitha Sundareswaran*, and Jingwei Li, “Policy Driven Node Selection in MapReduce”, the 10th International Conference on Security and Privacy in Communication Networks (SecureComm), 2014.
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Jingwei Li*, Dan Lin, Anna Squicciarini, and Chunfu Jia, “STRE: Privacy-Preserving Storage and Retrieval over Multiple Clouds”, the 10th International Conference on Security and Privacy in Communication Networks (SecureComm), 2014.
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Lasanthi Heendaliya*, Dan Lin, and Ali Hurson, “Continuous Predictive Line Queries under Road-network Constraints”, the 24th International Conference on Database and Expert Systems Applications (DEXA), 2013.
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Sashi Gurung*, Dan Lin, Anna Squicciarini, and Elisa Bertino, “Information-oriented Trustworthiness Evaluation in Vehicular Ad-hoc Networks”, the 7th International Conference on Network and System Security (NSS), 2013.
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Sashi Gurung*, Dan Lin, Anna Squicciarini, Ozan Tonguz, “A Moving Zone Based Architecture for Message Dissemination in VANETs”, The International Conference on Network and Service Management (CNSM), 2012.
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Sushama Karumanchi*, Anna Squicciarini, Dan Lin, “Selective and Confidential Message Exchange in Vehicular Ad Hoc Networks”, The International Conference on Network and System Security (NSS), 2012.
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Anna Squicciarini, Sushama Karumanchi*, Dan Lin, Nicole Desisto, “Automatic Social Group Organization and Privacy Management”, The IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2012.
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Arej Muhammed*, Dan Lin, Anna Squicciarini, “Location Privacy Policy Management System”, The International Conference on Information and Communications Security (ICICS), 2012.
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Smitha Sundareswaran*, Anna Squicciarini, Dan Lin, “A Brokerage-Based Approach for Cloud Service Selection”, In Proceedings of IEEE International Conference on Cloud Computing (CLOUD), 2012.
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Jianzhong Qi, Rui Zhang, Lars Kulik, Dan Lin, Yuan Xue, “The Min-dist Location Selection Query”, In International Conference on Data Engineering (ICDE), 2012.
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Dan Lin, Christian S. Jensen, Rui Zhang, Lu Xiao*, Jiaheng Lu, “A Moving-Object Index for Efficient Query Processing with Peer-Wise Location Privacy”, In Proceedings of International Conference on Very Large Data Bases (VLDB), Istanbul, Turkey,2012.
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Lasanthi Heendaliya*, Dan Lin, Ali Hurson, “Optimizing Predictive Queries on Moving Objects under Road-network Constraints”, the 22nd International Conference on Database and Expert Systems Applications (DEXA), 2011.
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Smitha Sundareswaran*, Anna Squicciarini, Dan Lin, Shuo Huang, “Promoting Distributed Accountability in the Cloud” IEEE International Conference on Cloud Computing (CLOUD), 2011.
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Anna Squicciarini, Dan Lin, Alessandro Mancarella, “PAIM: Peer-based Automobile Identity Management in Vehicular Ad-hoc Network”, the 35th IEEE Computer Software and Applications Conference (COMPSAC), 2011.
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Anna Squicciarini, Smitha Sundareswaran*, Dan Lin, Josh Wede, “A3P: Adaptive Policy Prediction for Shared Images on Content Sharing Sites” (Best Paper Award), 22nd ACM Conference on Hypertext and Hypermedia, 2011.
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Anna Squicciarini, Smitha Sundareswaran*, Dan Lin, “Preventing Information Leakage from Indexing in the Cloud” IEEE International Conference on Cloud Computing (CLOUD), 2010.
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Dan Lin, Anna Squicciarini, “Data Protection Models for Service Provisioning in the Cloud”, 15th ACM symposium on access control models and technologies (SACMAT), 2010.
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Dan Lin, Sashi Gurung*, Wei Jiang, and Ali Hurson, “Privacy-Preserving Location Publishing under Road-Network Constraints“, 15th International Conference on Database Systems for Advanced Applications (DASFAA), 2010.
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Chenyun Dai*, Dan Lin, Murat Kantarcioglu, Elisa Bertino, Ebru Celikel, and Bhavani Thuraisingham, “Query Processing Techniques for Compliance with Data Confidence Policies”, 6th VLDB Workshop on Secure Data Management, 2009.
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Prathima Rao*, Dan Lin, Elisa Bertino, Ninghui Li, and Jorge Lobo, “An Algebra for Fine-Grained Integration of XACML Policies”, 14th ACM symposium on access control models and technologies (SACMAT), France, 2009.
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Ninghui Li, Qihua Wang, Wahbeh Qardaji, Elisa Bertino, Prathima Rao, Jorge Lobo, and Dan Lin, “Access Control Policy Combining: Theory Meets Practice”, ACM symposium on access control models and technologies (SACMAT), France, 2009.
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Dan Lin, Elisa Bertino, Reynold Cheng and Sunil Prabhakar, “Position Transformation: A Location Privacy Protection Method for Moving Objects”, In Proceedings of ACM GIS Workshop on Security and Privacy, Irvine, CA, USA, 2008.
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Su Chen, Christian S. Jensen, and Dan Lin, “A Benchmark for Evaluating Moving Object Indexes”, The 34th International Conference on Very Large Data Bases (VLDB), Auckland, New Zealand, 2008.
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Chenyun Dai*, Dan Lin,Elisa Bertino, and Murat Kantarcioglu, ” An Approach to Evaluate Data Trustworthiness Based on Data Provenance”, The 5th International Workshop on Secure Data Management (SDM) in conjunction with VLDB, Auckland, New Zealand, 2008.
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Dan Lin, Prathima Rao*, Elisa Bertino, Ninghui Li, and Jorge Lobo, “Policy Decomposition for Collaborative Access Control”, ACM Symposium on Access Control Models and Technologies(SACMAT), Colorado, USA, 2008.
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Prathima Rao*, Dan Lin, Elisa Bertino, Jorge Lobo and Ninghui Li, “EXAM- A Comprehensive Environment for XACML Policy Analysis and Management” (Demo), In Proceedings of IEEE Workshop on Policies for Distributed Systems and Networks, Palisades, NY, USA, 2008.
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Lorenzo D. Martino, Qun Ni, Dan Lin, and Elisa Bertino, “Multi-domain and Privacy-aware Role Based Access Control in eHealth”,International Conference on Pervasive Computing Technologies for Healthcare, Tampere, Finland, 2008.
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Rui Zhang, Dan Lin, Ramamohanarao Kotagiri, and Elisa Bertino, “Continuous Intersection Joins Over Moving Objects”, International Conference on Data Engineering (ICDE), Cancun, Mexico, 2008.
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Qun Ni, Dan Lin, Elisa Bertino, and Jorge Lobo, “Conditional Privacy-Aware Role Based Access Control”, European Symposium on Research In Computer Security (ESORICS), Dresden, Germany, 2007.
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Dan Lin, Hicham G. Elmongui, Elisa Bertino, and Beng Chin Ooi, “Data Management in RFID Applications”, International Conference on Database and Expert Systems Applications (DEXA), Regensburg, Germany, 2007.
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Dan Lin, Prathima Rao*, Elisa Bertino and Jorge Lobo, “An Approach to Evaluate Policy Similarity”, ACM Symposium on Access Control Models and Technologies (SACMAT), Sophia Antipolis, France, 2007.
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Prathima Rao*, Dan Lin, and Elisa Bertino, “XACML Function Annotations” (Best Student Paper), IEEE Workshop on Policies for Distributed Systems and Networks, Bologna, Italy, 2007.
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Dan Lin, Bin Cui, “Optimizing Moving Queries Over Moving Object Data Streams”, International Conference on Database Systems for Advanced Applications (DASFAA), Bangkok, Thailand, 2007.
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Beng Chin Ooi, Zhiyong Huang, Dan Lin, Hua Lu and Linhao Xu, “Adapting Relational Database Engine to Accommodate Moving Objects”(Demo), International Conference on Data Engineering (ICDE), Istanbul, Turkey, 2007.
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Christian S. Jensen, Dan Lin, Beng Chin Ooi, Rui Zhang, “Effective Density Queries on Continuously Moving Objects”, International Conference on Data Engineering (ICDE), Atlanta, USA, 2006.
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Dan Lin, Christian S. Jensen, Beng Chin Ooi, Simonas Saltenis, “Efficient Indexing of the Historical, Present, and Future Positions of Moving Objects”, International Conference on Mobile Data Management (MDM), Ayia Napa, Cyprus, 2005.
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Bin Cui, Dan Lin, Kian-Lee Tan, “Towards Optimal Utilization of Main Memory for Moving Object Indexing”, International Conference on Database Systems for Advanced Applications (DASFAA), Beijing, China, 2005.
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Christian S. Jensen, Dan Lin, Beng Chin Ooi, “Query and Update Efficient B+-Tree Based Indexing of Moving Objects”, International Conference on Very Large Data Bases (VLDB), Toronto, Canada, 2004. [bx-tree code]
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Bo Huang, Zhiyong Huang, Hongga Li, Dan Lin, Hua Lu, Yaxiao Song, “ITQS: An Integrated Transport Query System “(Demo) , ACM SIGMOD International Conference on Management of Data (SIGMOD), Paris, France, 2004.
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Lasanthi Heendaliya, Michael Wisely, Dan Lin, Sarah Sedigh Sarvestani, and Ali Hurson, “Indexing and Querying Techniques for Moving Objects in Both Euclidean Space and Road Network”, Advance in Computers, Volume 102, Chapter 4, Pages 111–169, 2016.
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Elisa Bertino, Chenyun Dai, Hyo-Sang Lim, and Dan Lin, “High-Assurance Integrity Techniques for Databases” (invited paper), in proceedings of 25th British National Conference on Database (BNCOD) by Springer in the Lecture Notes in Computer Science (LNCS) series, 2008.
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Elisa Bertino, Dan Lin, and Wei Jiang, “A Survey of Quantification of Privacy Preserving Data Mining Algorithms” in Privacy-Preserving Data Mining (Models and Algorithms), Charu C. Aggarwaland Philip S. Yu (Eds.), Springer-Verlag, 2008.
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Christian S. Jensen, Dan Lin, and Beng Chin Ooi, “Indexing of Moving Objects”, in Encyclopedia of Geographic Information Science, Shashi Shekha and Hui Xiong (Eds.), Springer-Verlag, 2007.
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Christian S. Jensen, Dan Lin, and Beng Chin Ooi, “Maximum Update Interval in Moving Objects Databases”, Encyclopedia of Geographic Information Science, 2008.
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Dan Lin, Anna Squicciarini, Daniela Oliveira, “Cloud Computing Security”, CRC Press.
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Dan Lin, “Indexing and Querying Moving Objects Databases”, PhD Thesis.
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Dan Lin, Prathima Rao, Elisa Bertino and Jorge Lobo, “Method and System to Determine Policy Similarities”, US8020191B2, 2011.