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Long Cheng, Ph.D.

Assistant Professor

School of Computing
Clemson University
Clemson, SC 29634
Email: lcheng2@clemson.edu
Office: McAdams 210
Google Scholar

News

  • [Paper] 07/2024: One paper on understanding Security and Privacy Risks in the RapidAPI Ecosystem was accepted by ACM Conference on Computer and Communications Security (CCS), 2024.

  • [Paper] 07/2024: One paper on User Review Analysis was accepted by ACM Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT/UBICOMP) (UbiComp), 2024.

  • [Student] 06/2024: Ebuka passed the PhD dissertation defense, and will join Apple Siri group. Congratulations!

  • [Student] 06/2024: Song passed the PhD dissertation defense, and will join the Department of Computer Science at Texas Tech University as a Tenure-Track Assistant Professor in Fall 2024. Congratulations!

  • [Award] 05/2024: Received Tenure & Promotion letter, and Dean’s Professorship Award!

  • [Paper] 01/2024: One paper on GDPR compliance in privacy policies of Alexa skills was accepted by The Web Conference (WWW), 2024.

  • [Paper] 12/2023: One survey paper on network attack surface mapping was accepted by ACM Digital Threats: Research and Practice (DTRAP), 2024.

  • [Paper] 10/2023: One paper about using LLMs/Chain-of-Thought (CoT) to mitigate the spread of hate speech was accepted by IEEE Symposium on Security & Privacy (S&P), 2024.

  • [Grant] 08/2023: Our project “Efficient, Cybersecure and Safe EV Operations in the Clemson Smart City Testbed” was funded by Innova EV and South Carolina Research Authority (as Co-PI).

  • [Paper] 08/2023: One paper on Detecting Bugs in Python Runtimes was accepted by ACM Conference on Computer and Communications Security (CCS), 2023.

  • [Paper] 07/2023: One paper about our AI-based Cyberharassment Detection Labs was accepted by IEEE/ASEE Frontiers in Education Conference, 2023. Check out the AI-Cybersecurity Lab.

  • [Outreach] 07/2023: We presented two lectures about cyberbully detection on images and debiasing word embeddings in GenCyber Summer Post-Camp at North Carolina Agricultural and Technical State University (NC A&T).

  • [Grant] 07/2023: Honored to receive an NSF CAREER Award!

  • [Grant] 07/2023: Our center project “National University Transportation Center: TraCR” was funded by USDOT (as Co-PI).

  • [Paper] 05/2023: One paper on Static Analysis of Voice Applications was accepted by ACM Conference on Computer and Communications Security (CCS), 2023.

  • [Paper] 05/2023: One paper on Offensive Tweet Analysis was accepted by ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Applied Data Science (ADS) track, 2023.

  • [Grant] 05/2023: Received a seed grant from US Army VIPR-GS Program (as Co-PI).

  • [Student] 05/2023: Ebuka started summer internship at Apple, Tsu-Yao started summer internship at Amazon, and Song started summer visit at The Hong Kong Polytechnic University.

  • [Service] Serve on the TPC of ACSAC 2023, as a Publicity Co-Chair for IEEE SecDev 2023. Please submit your work!

  • [Grant] 01/2023: Received a grant from the MIT Lincoln Laboratory (as Co-PI).

  • [Paper] 10/2022: One paper on Multi-Language Fuzzing was accepted by USENIX Security, 2023.

  • [Paper] 10/2022: One paper was accepted by The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.

  • [Grant] 08/2022: NSF grant from SAI program (as Lead PI).

  • [Award] 05/2022: Our paper received Best Paper Award at ACM AsiaCCS 2022.

  • [Student] 05/2022: Ebuka started summer internship with the Siri Home Automation Team at Apple.

  • [Service] Serve on the TPC of ACSAC 2022, as a Publicity Co-Chair for IEEE SecDev 2022. Please submit your work!

  • [Paper] 02/2022: One paper on IoT Security was accepted by ACM AsiaCCS 2022.

  • [Paper] 12/2021: One paper on photo privacy was accepted by ACM CODASPY 2022.

  • [Tutorial] 10/2021: We presented a tutorial titiled Investigating Advanced Exploits for System Security Assurance at IEEE SecDev 2021. [Slides] [Code]

  • [Paper] 08/2021: One paper on Policy-Violation Detection of Voice Assistant Applications was accepted by USENIX Security, 2022.

  • [Talk] 07/2021: We presented our work on Policy-Violation Detection of Voice Assistant Applications at the FTC's PrivacyCon 2021.

  • [Award] 05/2021: Google awarded us a bug bounty for reporting various policy-violating Google Actions.

  • [Paper] 05/2021: One paper on Privacy Policy Analysis of Voice Assistant Applications was accepted by IEEE Security & Privacy Magazine (invited), 2021.

  • [Grant] 05/2021: NSF grant from SaTC-EDU program (as Lead PI).

  • [Paper] 04/2021: One paper on Memory Corruption Attacks and Defenses was accepted by the ACM Transactions on Privacy and Security, 2021.

  • [Service] 03/2021: Serve as a Publicy Chair for IEEE Secure Development Conference (SecDev 2021). Please submit your work!

  • [Paper] 03/2021: One paper on Deep Learning-based Binary Code Similarity Detection was accepted by IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2021.

  • [Paper] 02/2021: One survey paper on Deep Learning-Based Anomaly Detection in Cyber-Physical Systems was accepted by the ACM Computing Surveys, 2021.

  • [Paper] 12/2020: One paper on Visual Cyberbullying Detection was accepted by Network and Distributed System Security Symposium (NDSS) 2021.

  • [Paper] 12/2020: One paper on IoT Cyber-Physical Security was accepted by Network and Distributed System Security Symposium (NDSS) 2021.

  • [Award] 12/2020: Our paper received Distinguished Paper Award at the Annual Computer Security Applications Conference (ACSAC) 2020.

  • [Award] 12/2020: Google awarded us an Abuse Research Grant to support our research in abuse risks in Google products.

  • [Paper] 10/2020: One paper on Secure LoRa Communications was accepted by ACM Conference on Embedded Networked Sensor Systems (SenSys) 2020.

  • [Paper] 09/2020: One paper on Trustworthiness of Skill Certification in Voice Personal Assistant Platforms was accepted by ACM Conference on Computer and Communications Security (CCS), 2020.

  • [Paper] 08/2020: One paper on Privacy Policy Analysis for Voice Assistant Applications was accepted by The Annual Computer Security Applications Conference (ACSAC) 2020.

  • [Talk] 08/2020: We presented our work on Trustworthiness of Skill Certification in Voice Personal Assistant Platforms at the FTC's PrivacyCon 2020.

  • [Award] 08/2020: Google awarded us another bug bounty for discovering abuse risks of Google Actions.

  • [Paper] 07/2020: One paper on IoT Traffic Privacy Leakage Analysis was accepted by IEEE Internet of Things Journal, 2020.

  • [Media] 07/2020: The Register and some others reported our work on measuring the ineffectiveness of privacy policies for voice-apps.

  • [Award] 07/2020: Google awarded us $5,000 bug bounty for discovering vulnerabilities of Google Actions.

  • [Media] 07/2020: The Register, Washington Internet Daily, ZDNet and some others reported our work on measuring the trustworthiness of Alexa's skills certification.

  • [Service] 06/2020: Serve on the TPC of IEEE International Conference on Computer Communications (INFOCOM 2021).

  • [Grant] 06/2020: NSF grant from RAPID program (as Co-PI).

  • [Paper] 02/2020: Two papers on IoT Security were accepted by ACM AsiaCCS 2020.

  • [Service] Serve on the TPC of Annual Computer Security Applications Conference (ACSAC 2020).

  • [Service] Serve on the TPC of IEEE Conference on Communications and Network Security (IEEE CNS 2020).

  • [Paper] One paper was accepted by IEEE Transactions on Wireless Communications (TWC).

  • [Paper] One paper on Edge Computing was accepted by IEEE/ACM IWQoS 2019.

  • [Paper] One paper on Blockchain was accepted by IEEE ICDCS 2019.

  • [Paper] One paper on CPS Security was accepted by IEEE Transactions on Dependable and Secure Computing (TDSC).

  • [Media] TechXplore's report on our work on data-oriented attacks and defenses.

  • More…

Group Members

Current Graduate Students

Jeffrey Young
CS PhD Student,
MS from Georgia Southern University. 2019 Fall -

Song Liao
CS PhD Candidate, BS/MS from XJTU.
2019 Fall -

Ebuka J Okpala
CS PhD Candidate, MS from Clemson.
2020 Fall -

John Anderson
CS PhD Candidate, MS from College of Charleston.
2021 Spring -

Mohammed Aldeen
CS PhD Student, BS from Zhejiang University of Technology.
2022 Fall -

Jingwen Yan
CS PhD Student, MS from University of Pittsburgh.
2023 Fall -

Jin Ma
CS PhD Student, BS/MS from XJTU.
2023 Fall -

Shuhao Zhang
CS PhD Student, MS from University of Florida.
2023 Fall -

Andrew York
CS PhD Student,
MS from Clemson University. 2024 Summer -

Kenneth Roulier
CS PhD Student,
MS from Clemson University. 2024 Spring -

Tsu-Yao Chang
CS MS, Clemson, 01/2023 -

Pranav Pradosh Silimkhan
CS MS, Clemson, 05/2023 -

Alumni

Douglas Everson
CS PhD, 08/2018 - 08/2023
AppFolio, Inc.

Ha Young Kim
CS MS, Clemson (Thesis), 01/2021 - 05/2022
MOBIS, MI

Huixing Deng
CS MS, Clemson, 01/2020 - 12/2020
Amazon, Seattle

Christin Wilson
CS MS, Clemson, 01/2019 - 05/2020
Global Lending Services

Undergraduate & High School Students

Kevius Tribble
11th Grader,
Governor’s School for Science and Math, SC

Ethan Anderson
Rising Freshman, EUREKA Program, 2022 Summer

Preethika Yetukuri
Rising Freshman, EUREKA Program, 2022 Summer

Taran Kavuru
Rising Freshman, EUREKA Program, 2022 Summer

Aidan McPherson
Rising Freshman, EUREKA Program, 2021 Summer

Rahul Solleti
10th Grader, 2022 Summer Green Level High School, NC

Daniel Dong
REU Student, 2019/2020 Summer Vanderbilt University

Biography

I received my second PhD in Computer Science (with a focus on cyber security) from Virginia Tech USA in 2018, and the first PhD (with a focus on wireless networking) from Beijing University of Posts and Telecommunications China in 2012. During the period from 02/2012 to 08/2015, I worked as a Research Fellow at Singapore University of Technology and Design, and then a Research Scientist at A*STAR Institute for Infocomm Research (I²R), Singapore. From 06/2009 to 10/2011, I was a research assistant at Hong Kong Polytechnic University and University of Texas at Arlington, respectively. I received the Best Paper Award from IEEE Wireless Communications and Networking Conference (WCNC) in 2013, the Erasmus Mundus Scholar Award in 2014, the Pratt Fellowship at Virginia Tech in 2017, Best Paper Award Runner-up from IEEE/ACM International Symposium on Quality of Service (IWQoS) in 2019, Distinguished Paper Award frrom Annual Computer Security Applications Conference (ACSAC) in 2020, Best Paper Award from ACM ASIA Conference on Computer and Communications Security (AsiaCCS) in 2022. I am a recipient of an NSF CAREER award.

Research Interests

  • Machine Learning Based Online Abuse Detection

  • System and Software Security

  • Network Security

  • Security and Privacy in Cyber-Physical Systems (CPS) and Internet-of-Things (IoT)

  • Mobile Computing and Wireless Networks

Recent Publications (Since 2018) (More…)

  • Mohammed Aldeen, Pranav Silimkhan, Ethan Anderson, Taran Kavuru, Tsu-Yao Chang, Jin Ma, Feng Luo, Hongxin Hu and Long Cheng, “An Integrated Platform for Online Abuse Research”, Fifth International Workshop on Cyber Social Threats (CySoc) at the International Conference on Web and Social Media (ICWSM), 2024.

  • Wenbo Ding, Song Liao, Long Cheng, Xianghang Mi, Ziming Zhao, Hongxin Hu, “Command Hijacking on Voice-Controlled IoT in Amazon Alexa Platform”, ACM ASIA Conference on Computer and Communications Security (ASIACCS), 2024

  • Sihan Yu, Jingjing Fu, Chenxu Jiang, ChunChih Lin, Zhenkai Zhang, Long Cheng, Ming Li, Xiaonan Zhang, and Linke Guo, “FreeEM: Uncovering Parallel Memory EMR Covert Communication in Volatile Environments”, The 22nd ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), Tokyo, Japan, Jun. 3 - 7, 2024.

  • Song Liao, Mohammed Aldeen, Jingwen Yan, Long Cheng, Xiapu Luo, Haipeng Cai, Hongxin Hu, “Understanding GDPR Non-Compliance in Privacy Policies of Alexa Skills in European Marketplaces”, in ACM Web Conference (WWW), 2024

  • Mohammed Aldeen, Sisheng Liang, Zhenkai Zhang, Linke Guo, Zheng Song, and Long Cheng, ‘‘EMMasker: EM Obfuscation Against Website Fingerprinting’’, in NDSS Workshop on Measurements, Attacks, and Defenses for the Web (MADWeb), 2024. (Best Paper Runner-up)

  • Song Liao, Jingwen Yan, Long Cheng, “WIP: Hidden Hub Eavesdropping Attack in Matter-enabled Smart Home Systems”, in The NDSS Workshop on Security and Privacy in Standardized IoT (SDIoTSec), 2024.

  • Mohammed Aldeen, Pedram MohajerAnsari, Jin Ma, Mashrur Chowdhury, Long Cheng, Mert D. Pesé, “WIP: A First Look At Employing Large Multimodal Models Against Autonomous Vehicle Attacks”, in the 2nd ISOC Symposium on Vehicle Security and Privacy (VehicleSec), 2024

  • Douglas Everson, Long Cheng, “A Survey on Network Attack Surface Mapping”, in ACM Digital Threats: Research and Practice (DTRAP), 2024

  • Nishant Vishwamitra, Keyan Guo, Farhan Tajwar Romit, Isabelle Ondracek, Long Cheng, Ziming Zhao and Hongxin Hu, Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models, in IEEE Symposium on Security & Privacy (S&P), 2024.

  • Nishant Vishwamitra, Keyan Guo, Song Liao, Jaden Mu, Zheyuan Ma, Long Cheng, Ziming Zhao and Hongxin Hu, Understanding and Analyzing COVID-19-related Online Hate Propagation Through Hateful Memes Shared on Twitter, in IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), 2023.

  • Mohammed Aldeen, Joshua Luo, Ashley Lian, Venus Zheng, Allen Hong, Preethika Yetukuri, Long Cheng, “ChatGPT vs. Human Annotators: A Comprehensive Analysis of ChatGPT for Text Annotation”, in IEEE International Conference on Machine Learning and Applications (ICMLA), 2023. (Collabarative work with four high-school summer interns)

  • Nishant Vishwamitra, Hongxin Hu, Ziming Zhao, Long Cheng, Feng Luo, “Understanding and Measuring Robustness of Vision and Language Multimodal Models”, in International Conference on Secure Knowledge Management, 2023.

  • John Anderson, Qiqing Huang, Long Cheng, Hongxin Hu, “A Zero Trust Architecture for Connected and Autonomous Vehicles”, in IEEE Internet Computing, 2023.

  • Wen Li, Haoran Yang, Xiapu Luo, Long Cheng, Haipeng Cai, “PyRTFuzz: Detecting Bugs in Python Runtimes via Two-Level Collaborative Fuzzing”, in ACM Conference on Computer and Communications Security (CCS), 2023.

  • Ebuka Okpala, Nishant Vishwamitra, Keyan Guo, Liao Song, Long Cheng, Hongxin Hu, Yongkai Wu, Xiaohong Yuan, Jeannette Wade, Sajad Khorsandroo, “AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab”, IEEE/ASEE Frontiers in Education Conference, College Station, Texas October 18–21, 2023.

  • Song Liao, Long Cheng, Haipeng Cai, Linke Guo, Hongxin Hu, “SkillScanner: Detecting Policy-Violating Voice Applications Through Static Analysis at the Development Phase”, in ACM Conference on Computer and Communications Security (CCS), 2023.

  • Song Liao, Ebuka Okpala, Long Cheng, Nishant Vishwamitra, Mingqi Li, Hongxin Hu, Feng Luo, and Matthew Costello, “Analysis of COVID-19 Offensive Tweets and Their Targets”, International Conference on Knowledge Discovery and Data Mining (KDD) (Applied Data Science track), 2023

  • Wen Li, Jinyang Ruan, Guangbei Yi, Long Cheng, Xiapu Luo, Haipeng Cai, “POLYFUZZ: Holistic Greybox Fuzzing of Multi-Language Systems”, USENIX Security Symposium, 2023.

  • Mingqi Li, Fei Ding, Dan Zhang, Long Cheng, Hongxin Hu, Feng Luo, “Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model”, The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.

  • 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).

  • 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.

  • 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.

  • Ebuka Okpala, Long Cheng, and Feng Luo, AAEBERT: Debiasing BERT based Hate Speech Detection Models via Adversarial Training, in IEEE International Conference on Machine Learning and Applications (ICMLA), 2022.

  • Junqin Huang, Linghe Kong, Long Cheng, Hong-Ning Dai, Meikang Qiu, Guihai Chen, Xue Liu, Gang Huang, BlockSense: Towards Trustworthy Mobile Crowdsensing via Proof-of-Data Blockchain, IEEE Transactions on Mobile Computing (TMC), 2022

  • Qi Li, Keyang Yu, Dong Chen, Mo Sha, and Long Cheng, TrafficSpy: Disaggregating VPN-encrypted IoT Network Traffic for User Privacy Inference, in IEEE Conference on Communications and Network Security (CNS), 2022

  • Douglas Everson, Ashish Bastola, Rajat Mittal, Siddheshwar Munde, Long Cheng, “A Comparative Study of Log4Shell Test Tools”, in IEEE Secure Development Conference (SecDev), 2022

  • John Anderson, Qiqing Huang, Long Cheng and Hongxin Hu, BYOZ: Protecting BYOD Through Zero Trust Network Security, in the 16th IEEE International Conference on Networking, Architecture, and Storage (NAS), 2022.

  • 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.

  • 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.

  • Yuan Luo, Long Cheng, Hongxin Hu, Guojun Peng, Danfeng (Daphne) Yao, “Context-rich Privacy Leakage Analysis through Inferring Apps in Smart Home IoT”, in IEEE Internet of Things Journal (IoTJ), 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, 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

  • 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, 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, (Best Paper Runner-up)

  • 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%).

  • 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

  • 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