Danfeng (Daphne) Yao, Xiaokui Shu, Long Cheng, Salvatore J. Stolfo, “Anomaly Detection as a Service: Challenges, Advances, and Opportunities”, Synthesis Lectures on Information Security, Privacy, and Trust (October 2017), Morgan & Claypool publishers, CA.

• Hongda Li, Qiqing Huang, Fei Ding, Hongxin Hu, Long Cheng, Guofei Gu and Ziming Zhao, “Understanding and Detecting Remote Infection on Linux-based IoT Devices”, In 17th ACM ASIA Conference on Computer and Communications Security (AsiaCCS), 2022. (Acceptance rate: 54/294 = 18.4%). (Best Paper Award).

• Sisheng Liang, Zihao Zhan, Fan Yao, Long Cheng, Zhenkai Zhang, “Clairvoyance: Exploiting Far-field EM Emanations of GPU to ”See“ Your DNN Models through Obstacles at a Distance”, in IEEE Workshop on Offensive Technologies (WOOT), 2022

• Douglas Everson, Long Cheng, Zhenkai Zhang, “Log4Shell: Redefining the Web Attack Surface”, 4th Workshop on Measurements, Attacks, and Defenses for the Web (MADWeb 2022), co-located with NDSS 2022.

• Bradley Potteiger, Zhenkai Zhang, Long Cheng, and Xenofon Koutsoukos, “A Tutorial on Moving Target Defense Approaches Within Automotive Cyber-Physical Systems”, in Frontiers in Future Transportation, 2022

• Nishant Vishwamitra, Yifang Li, Hongxin Hu, Kelly Caine, Long Cheng, Ziming Zhao and Gail-Joon Ahn, “Towards Automated Content-based Photo Privacy Control in User-Centered Social Networks”, In Proceedings of the Twelth ACM Conference on Data and Application Security and Privacy (CODASPY), 2022.

• Jeffrey Young, Song Liao, Long Cheng, Hongxin Hu, Huixing Deng, “SkillDetective: Automated Policy-Violation Detection of Voice Assistant Applications in the Wild”, USENIX Security Symposium, 2022.

• Douglas Everson, Long Cheng, “Compressing Network Attack Surfaces for Practical Security Analysis”, IEEE Secure Development Conference (SecDev), 2021.

• Long Cheng, Salman Ahmed, Hans Liljestrand, Thomas Nyman, Haipeng Cai, Trent Jaeger, N. Asokan, Danfeng (Daphne) Yao, “Exploitation Techniques for Data-Oriented Attacks with Existing and Potential Defense Approaches”, ACM Transactions on Privacy and Security (TOPS), April 2021.

• Mingqi Li, Song Liao, Ebuka Okpala, Max Tong, Matthew Costello, Long Cheng, Hongxin Hu and Feng Luo, “COVID-HateBERT: a Pre-trained Language Model for COVID-19 related Hate Speech Detection”, IEEE International Conference on Machine Learning and Applications (ICMLA), December 13-16, 2021.

• Matthew Costello, Long Cheng, Feng Luo, Hongxin Hu, Song Liao, Nishant Vishwamitra, Mingqi Li and Ebuka Okpala, “COVID-19: A Pandemic of Anti-Asian Hate”, Journal of Hate Studies, 2021.

• Long Cheng, Linghe Kong, Yu Gu, Jianwei Niu, Ting Zhu, Cong Liu, Shahid Mumtaz, Tian He. “Collision-Free Dynamic Convergecast in Low-Duty-Cycle Wireless Sensor Networks”. IEEE Transactions on Wireless Communications (TWC), 2021.

• Hao Zheng, Yanan Jiang, Chen Tian, Long Cheng, Qun Huang, Weichao Li, Yi Wang, Qianyi Huang, Jiaqi Zheng, Rui Xia, Yi Wang, Wanchun Dou, and Guihai Chen. “Rethinking Fine-grained Measurement from Software-defined Perspective: A Survey”, IEEE Transactions on Services Computing (TSC), 2021.

• Shouguo Yang, Long Cheng, Yicheng Zeng, Zhe Lang, Hongsong Zhu, Zhiqiang Shi, “Asteria: Deep Learning-based AST-Encoding for Cross-platform Binary Code Similarity Detection”, IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2021.

• Yuan Luo, Ya Xiao, Long Cheng, Guojun Peng, Danfeng (Daphne) Yao, “Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities”, ACM Computing Surveys (CSUR), 2021.

• Nishant Vishwamitra, Hongxin Hu, Feng Luo, Long Cheng, “Towards Understanding and Detecting Cyberbullying in Real-world Images”, Proceedings of the 28th Network and Distributed System Security Symposium (NDSS), 2021. (Acceptance rate: 87/573 = 15.2%).

• Wenbo Ding, Hongxin Hu, Long Cheng, “IoTSafe: Enforcing Safety and Security Policy with Real IoT Physical Interaction Discovery”, Proceedings of the 28th Network and Distributed System Security Symposium (NDSS), 2021. (Acceptance rate: 87/573 = 15.2%).

• Long Cheng, Christin Wilson, Song Liao, Jeffrey Young, Daniel Dong, Hongxin Hu, “Dangerous Skills Got Certified: Measuring the Trustworthiness of Skill Certification in Voice Personal Assistant Platforms”, ACM Conference on Computer and Communications Security (CCS), 2020. (Acceptance rate: 121/715 = 16.9%).

• Song Liao, Christin Wilson, Long Cheng, Hongxin Hu and Huixing Deng, “Measuring the Effectiveness of Privacy Policies for Voice Assistant Applications”, Annual Computer Security Applications Conference, (ACSAC), Dec 7-11, 2020. (Acceptance rate: 23%). (Distinguished Paper Award).

• Nishant Vishwamitra, Ruijia Roger Hu, Feng Luo, Long Cheng, Matthew Costello, Yin Yang, “On Analyzing COVID-19-related Hate Speech Using BERT Attention”, IEEE International Conference on Machine Learning and Applications (ICMLA), 2020.

• Douglas Everson, Long Cheng, “Network Attack Surface Simplification for Red and Blue Teams”, IEEE Secure Development Conference (SecDev), Sept, 2020.

• Sihan Yu, Xiaonan Zhang, Pei Huang, Linke Guo, Long Cheng and Kuangching Wang, “AuthCTC: Defending Against Waveform Emulation Attack in Heterogeneous IoT Environments”, 15th ACM ASIA Conference on Computer and Communications Security (ASIACCS), Taipei, Taiwan, June 1-5, 2020. (Acceptance rate: 21.7%).

• Fei Ding, Hongda Li, Feng Luo, Hongxin Hu, Long Cheng, Hai Xiao and Rong Ge, “DeepPower: Early Detection of IoT Malware through Fine-grained Activity Recognition using Power Side Channels”, 15th ACM ASIA Conference on Computer and Communications Security (ASIACCS), Taipei, Taiwan, June 1-5, 2020. (Acceptance rate: 21.7%).

• Long Cheng, Hans Liljestrand, Md Salman Ahmed, Thomas Nyman, Danfeng (Daphne) Yao, Trent Jaeger, N. Asokan, “Exploitation Techniques and Defenses for Data-Oriented Attacks”, IEEE Secure Development 2019 (SecDev), McLean, VA, USA, 2019

• Yutong Liu, Linghe Kong and Muhammad Hassan, Long Cheng, Guangtao Xue, Guihai Chen, “Litedge: Towards Light-weight Edge Computing for Efficient Wireless Surveillance System”, IEEE/ACM International Symposium on Quality of Service (IWQoS), Phoenix, Arizona, USA, 2019

• Junqin Huang, Linghe Kong, Guihai Chen, Long Cheng, Kaishun Wu, Xue Liu. “B-IoT: Blockchain Driven Internet of Things with Credit-Based Consensus Mechanism”. The 39th IEEE International Conference on Distributed Computing Systems (ICDCS), Dallas, Texas, USA, 2019. (Acceptance rate: 19.6%).

• Yutong Liu, Linghe Kong, Yifeng Cao, Vahan Sarafian, Long Cheng, Guihai Chen, “Stop Unauthorized Access to Your Smart Devices”, The 24th International Conference on Parallel and Distributed Systems (ICPADS), Singapore, December 2018

• Long Cheng, Ke Tian, Danfeng Yao. “Enforcing Cyber-Physical Execution Semantics to Defend Against Data- Oriented Attacks”, in Annual Computer Security Applications Conference (ACSAC). Puerto Rico, US. Dec. 2017. (Acceptance rate: 19.7%).

• Sazzadur Rahaman, Long Cheng, Danfeng Yao, He Li, and Jung-Min Park. “Provably Secure Anonymous-yet- Accountable Crowdsensing with Scalable Sublinear Revocation”, in The 17th Privacy Enhancing Technologies Symposium (PETS). Minneapolis, MN. Jul. 2017 (Acceptance rate: 21.7%)

• Hussain Almohri, Long Cheng, Danfeng Yao, and Homa Alemzadeh, “On Threat Modeling and Mitigation of Medical Cyber-Physical Systems”, in MedSPT Workshop, in conjunction with the IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE). Philadelphia, PA. Jul. 2017.

• Long Cheng, Yu Gu, Jianwei Niu, Ting Zhu, Cong Liu, Qingquan Zhang, Tian He. “Taming Collisions for Delay Reduction in Low-Duty-Cycle Wireless Sensor Networks”, In IEEE International Conference on Computer Communications (INFOCOM), San Francisco, CA, USA, 2016. (Acceptance rate: 18%)

• Long Cheng, Jianwei Niu, Yu Gu, Tian He and Qingquan Zhang, “Energ Efficient Statistical Delay Guarantee for Low-Duty-Cycle Wireless Sensor Networks”, in IEEE International Conference on Sensing, Communication, and Networking (SECON), Seattle, WA, USA, 2015. (Acceptance rate: 27%)

• Chengwen Luo, Hande Hong, Long Cheng, Kartik Sankaran, Mun Choon Chan. “Automatic Inference of Indoor Semantics Exploiting Opportunistic Smartphone Sensing”, IEEE International Conference on Sensing, Communication, and Networking (SECON), Seattle, WA, USA, 2015. (Acceptance rate: 27%)

• Long Cheng, Linghe Kong, Chengwen Luo, Jianwei Niu, Yu Gu, Wenbo He. “Short: False Data Detection and Correction Framework for Participatory Sensing”, in IEEE/ACM International Symposium on Quality of Service (IWQoS), Portland, Oregon, USA, 2015

• Jianwei Niu, Bowei Wang, Long Cheng, JoelJ.P.C. Rodrigues, “WicLoc: An Indoor Localization System based on WiFi Fingerprints and Crowdsourcing”, IEEE International Conference on Communications (ICC), London, UK, May 2015.

• Junghyun Jun, Long Cheng, Liang He, Yu Gu, Ting Zhu, “Exploiting Sender-Based Link Correlation in Wireless Sensor Networks”, IEEE International Conference on Network Protocols (ICNP), North Carolina, USA, (Oct 2014). (Acceptance rate: 20%)

• W. Quin Yow, Xiaoqian Li, Wan-Yu Hung, Megan Goldring, Long Cheng, Yu Gu, “Predicting Social Networks and Psychological Outcomes Through Mobile Phone Sensing”, IEEE International Conference on Communications (ICC), Sydney, Australia, (May 2014).

• Long Cheng, Yu Gu, Tian He and Jianwei Niu, “Dynamic Switching-based Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks”, In IEEE International Conference on Computer Communications (INFOCOM), Turin, Italy, April, 2013. (Acceptance rate: 17%)

• Jianwei Niu, Long Cheng*, Yu Gu, Junghyun Jun and Qingquan Zhang, “Minimum-Delay and Energy-E icient Flooding Tree in Asynchronous Low-Duty-Cycle Wireless Sensor Networks”, In IEEE Wireless Communications and Networking Conference (WCNC’13), Shanghai, China, April, 2013. Best Paper Award (*Corresponding author)

• JunghyunJun, Yu Gu, Long Cheng, Banghui Lu, Jun Sun, Ting Zhu and Jianwei Niu, “Social-Loc:ImprovingIndoor Localization with Social Sensing”, In ACM Conference on Embedded Networked Sensor System (SenSys), Rome, Italy, November, 2013. (Acceptance rate: 17%)

• Jianwei Niu, Banghui Lu, Long Cheng, Yu Gu and Lei Shu, “ZiLoc: Energy Efficient WiFi Fingerprint-based Localization with Low-Power Radio”, IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, China, April 2013.

• Long Cheng, Sajal K. Das, Mario Di Francesco, Canfeng Chen, and Jian Ma, “Scalable and Efficient Broadcasting over Cluster Heads in Multihop Cluster-Based Wireless Sensor Networks”, IEEE International Conference on Communications (ICC’11), Kyoto, Japan, May 2011.

• Long Cheng, Sajal K. Das, Canfeng Chen, Jian Ma and Wendong Wang, “Robust Forwarding for Reactive Routing Protocols in Wireless Ad Hoc Networks”, IEEE International Conference on Communications (ICC’11), Kyoto, Japan, May 2011.

• Long Cheng, Sajal K. Das, Mario Di Francesco, Canfeng Chen, Jian Ma and Dongliang Xie, “Streaming Data Dis- semination in Multi-hop Cluster-based Wireless Sensor Networks with Mobile Sinks”, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Lucca, Italy, June 2011.

• Long Cheng, Jiannong Cao, Canfeng Chen, Jian Ma, Sajal Das, “Exploiting Geographic Opportunistic Routing for Soft QoS Provisioning in Wireless Sensor Networks”, IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS), San Francisco, CA, USA, Nov 2010. (Acceptance rate: 25%)

• Long Cheng, Sajal K. Das, Jiannong Cao, Canfeng Chen and Jian Ma, “Distributed Minimum Transmission Multicast Routing Protocol for Wireless Sensor Networks”, International Conference on Parallel Processing (ICPP), San Diego, California, USA, September, 2010

• Long Cheng, Jiannong Cao, Canfeng Chen, Hongyang Chen, Jian Ma, “Cooperative Contention-Based Forwarding for Wireless Sensor Networks”, International Wireless Communications & Mobile Computing Conference (IWCMC), Caen, France, June 2010.

• Long Cheng, Canfeng Chen, Jian Ma, Lei Shu, Hongyang Chen and Laurence T. Yang, “Residual Time Aware For- warding for Randomly Duty-Cycled Wireless Sensor Networks”, IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC), Vancouver, Canada, August 2009.

• Long Cheng, Yimin Chen, Canfeng Chen, Jian Ma, “Query-Based Data Collection in Wireless Sensor Networks with Mobile Sinks”, International Wireless Communications & Mobile Computing Conference (IWCMC), Leipzig, Germany, June 2009.

• Long Cheng, Canfeng Chen, Jian Ma and Yimin Chen, “A Group-Level Incentive Scheme for Data Collection in Wireless Sensor Networks”, IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, Nevada, USA, January 2009.

• Long Cheng, Linghe Kong, Yongjia Song, Jianwei Niu, Chengwen Luo, Yu Gu, Shahid Mumtaz, Tian He, “Adaptive Forwarding with Probabilistic Delay Guarantee in Low-Duty-Cycle Wireless Sensor Networks”, in IEEE Transactions on Wireless Communications (TWC), 2020

• Junqin Huang, Linghe Kong, Hong-Ning Dai, Weiping Ding, Long Cheng, Guihai Chen, Xi Jin, Peng Zeng. “Blockchain Based Mobile Crowd Sensing in Industrial Systems”. IEEE Transactions on Industrial Informatics (TII), 2020.

• Long Cheng, Ke Tian, Danfeng (Daphne) Yao, Lui Sha, Raheem A. Beyah, “Checking is Believing: Event-Aware Program Anomaly Detection in Cyber-Physical Systems”, in IEEE Transactions on Dependable and Secure Computing (TDSC), 2019

• Jianqiang Li, Gang Feng, Wei Wei, Chengwen Luo, Long Cheng, Huihui Wang, Houbing Song, Zhong Ming, “PSOTrack: A RFID-Based System for Random Moving Objects Tracking in Unconstrained Indoor Environment”, IEEE Internet of Things Journal (IoTJ), 2018

• Xinglin Zhang, Lingyu Liang, Chengwen Luo, Long Cheng, “Privacy-Preserving Incentive Mechanisms for Mobile Crowdsensing”, IEEE Pervasive Computing, 2018

• Long Cheng, Jianwei Niu, Chengwen Luo, Linghe Kong, Zhiwei Zhao, Yu Gu, “Towards Minimum-Delay and Energy-Efficient Flooding in Low-Duty-Cycle Wireless Sensor Networks”, in Elsevier Computer Networks, 2018

• Junghyun Jun, Liang He, Yu Gu, Wenchao Jiang, Gaurav Kushwaha, Vipin A, Long Cheng, Cong Liu, Ting Zhu, “Low-Overhead WiFi Fingerprinting”, IEEE Transactions on Mobile Computing (TMC), 17(3), 590-603, 2018.

• Long Cheng, Fang Liu, Danfeng (Daphne) Yao, “Enterprise Data Breach: Causes, Challenges, Prevention, and Future Directions”, in WIREs Data Mining and Knowledge Discovery, 2017

• Long Cheng, Dinil Mon Divakaran, Aloysius Ang, Wee Yong Lim, Vrizlynn L. L. Thing, “FACT: A Framework for Authentication in Cloud-based IP Traceback”, in IEEE Transactions on Information Forensics and Security (TIFS), 2017

• Long Cheng, Jianwei Niu, Linghe Kong, Chengwen Luo, Yu Gu, Wenbo He, Sajal K. Das, “Compressive Sensing based Data Quality Improvement for Crowd-Sensing Applications”, in Journal of Network and Computer Applications (JNCA), 2017

• Chengwen Luo, Long Cheng*, Mun Choon Chan, Yu Gu, “Self-bootstrapping Fine-grained Passive Indoor Localization Using WiFi Monitors”, in IEEE Transactions on Mobile Computing (TMC), 2016. (*Corresponding author)

• Long Cheng, Jianwei Niu, Yu Gu, Tian He. “Achieving Efficient Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks”, in IEEE/ACM Transactions on Networking (ToN), 2016.

• Long Cheng, Dinil Mon Divakaran, Wee Yong Lim, Vrizlynn L. L. Thing, “Opportunistic Piggyback Marking for IP Traceback”, in IEEE Transactions on Information Forensics and Security (TIFS), 2016.

• Long Cheng, Jianwei Niu, Mario Di Francesco, Sajal K. Das, and Yu Gu, “Seamless Streaming Data Delivery in Cluster-based Wireless Sensor Networks with Mobile Elements”, in IEEE Systems Journal (IJS), 2016

• Chengwen Luo, Long Cheng, Hande Hong, Kartik Sankaran, Mun Choon Chan, Jianqiang Li, Zhong Ming, “From Mapping to Indoor Semantic Queries: Enabling Zero-Effort Indoor Environmental Sensing”, Journal of Network and Computer Applications (JNCA), 80, 141-151, 2016.

• Linghe Kong, Xiao-Yang Liu, Meixia Tao, Min-You Wu, Yu Gu, Long Cheng and Jianwei Niu. “Resource-Efficient Data Gathering in Sensor Networks for Environment Reconstruction”, OXFORD Computer Journal, 58(6), 1330- 1343, 2015.

• Long Cheng, Jianwei Niu, Jiannong Cao and Sajal K. Das and Yu Gu, “QoS Aware Geographic Opportunistic Routing in Wireless Sensor Networks”, in IEEE Transactions on Parallel and Distributed Systems (TPDS), 25(7), 1864-1875, 2014.

• Jianwei Niu, Long Cheng*, Yu Gu, Lei Shu and Sajal K. Das, “R3E: Reliable Reactive Routing Enhancement for Wireless Sensor Networks”, in IEEE Transaction on Industrial Informatics (TII), 10(1), 784-794, 2014. (*Corresponding author)

• Yu Gu, Long Cheng*, Jianwei Niu, Tian He, and David Hung-Chang Du, “Achieving Asymmetric Sensing Coverage for Duty Cycled Wireless Sensor Networks”, in IEEE Transactions on Parallel and Distributed Systems (TPDS), 25(12), 3076-3087, 2014. (*Corresponding author)

• Long Cheng, WeiWei Jiao, Min Chen, Canfeng Chen and Jian Ma, “Wait, Focus and Spray: Efficient Data Delivery in Wireless Sensor Networks with Ubiquitous Mobile Data Collectors”, Springer Telecommunication Systems, 52(4), 2503-2517, 2013.

• Long Cheng, Canfeng Chen, Jian Ma, Lei Shu, “Contention-based geographic forwarding in asynchronous duty-cycled wireless sensor networks”, Wiley International Journal of Communication Systems, 25(12), 1585-1602, 2012.

• Long Cheng, Jiannong Cao, Canfeng Chen, Hongyang Chen and Jian Ma, “Towards Intelligent Contention-Based Geographic Forwarding in Wireless Sensor Networks”, IET Communications, 5(12), 1711-1719, 2011.

• Long Cheng, Yimin Chen, Canfeng Chen, Jian Ma, Lei Shu, Naixue Xiong, “Efficient Query Based Data Collection for Mobile Wireless Monitoring Applications”, OXFORD Computer Journal, 53(10), 1643-1657, 2010.

• Long Cheng, Dinil Mon Divakaran, Wee Yong Lim, Vrizlynn L. L. Thing, “Cloud-based Forensic IP Traceback”, Filed by Institute for Infocomm Research Singapore, WO2017164820A1, 2017

• Canfeng Chen, Jian Ma, Long Cheng, “A Routing Scheme for Wireless Sensor Networks”, Filed by Nokia Research, WO2012009849, 2012