Vrizlynn L. L. Thing

140 papers A* 1A 2B 5C 23Misc 9Journal 69Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense. AAAI Zhuochen Yang, Kar-Wai Fok, Vrizlynn L. L. Thing
2025	J	`jnl`	A Survey of Transaction Tracing Techniques for Blockchain Systems. CoRR Ayush Kumar, Vrizlynn L. L. Thing
2025	J	`jnl`	CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense. CoRR Zhuochen Yang, Fok Kar Wai, Vrizlynn L. L. Thing
2025	J	`jnl`	DefenSee: Dissecting Threat from Sight and Text - A Multi-View Defensive Pipeline for Multi-modal Jailbreaks. CoRR Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
2025	J	`jnl`	Enhanced Consistency Bi-directional GAN(CBiGAN) for Malware Anomaly Detection. CoRR Thesath Wijayasiri, Kar-Wai Fok, Vrizlynn L. L. Thing
2025	J	`jnl`	Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses. CoRR Xingwei Zhong, Kar-Wai Fok, Vrizlynn L. L. Thing
2025	J	`jnl`	ExpIDS: A Drift-adaptable Network Intrusion Detection System With Improved Explainability. CoRR Ayush Kumar, Kar-Wai Fok, Vrizlynn L. L. Thing
2025	J	`jnl`	Network Attack Traffic Detection With Hybrid Quantum-Enhanced Convolution Neural Network. CoRR Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
2025	J	`jnl`	Network attack traffic detection with hybrid quantum-enhanced convolution neural network. Quantum Mach. Intell. Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
2024	J	`jnl`	An adversarial attack approach for eXplainable AI evaluation on deepfake detection models. Comput. Secur. Balachandar Gowrisankar, Vrizlynn L. L. Thing
2024	J	`jnl`	Building Confidence in a World of Eroding Trust. Digit. Gov. Res. Pract. Jonathan W. Z. Lim, Vrizlynn L. L. Thing
2024	C	`conf`	CPE-Identifier: Automated CPE Identification and CVE Summaries Annotation with Deep Learning and NLP. ICISSP Wanyu Hu, Vrizlynn L. L. Thing
2024	J	`jnl`	CPE-Identifier: Automated CPE identification and CVE summaries annotation with Deep Learning and NLP. CoRR Wanyu Hu, Vrizlynn L. L. Thing
2024	Misc	`conf`	Emerging Trends in 5G Malicious Traffic Analysis: Enhancing Incremental Learning Intrusion Detection Strategies. CSR Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
2024	J	`jnl`	Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks. CoRR Xinxing Zhao, Kar-Wai Fok, Vrizlynn L. L. Thing
2024	J	`jnl`	Enhancing network intrusion detection performance using generative adversarial networks. Comput. Secur. Xinxing Zhao, Kar-Wai Fok, Vrizlynn L. L. Thing
2024	J	`jnl`	Evaluating The Explainability of State-of-the-Art Machine Learning-based IoT Network Intrusion Detection Systems. CoRR Ayush Kumar, Vrizlynn L. L. Thing
2024	Misc	`conf`	ExpIDS: A Drift-Adaptable Network Intrusion Detection System with Improved Explainability. ITNAC Ayush Kumar, Kar-Wai Fok, Vrizlynn L. L. Thing
2024	J	`jnl`	Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies. CoRR Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
2024	—	`conf`	Privacy preserving layer partitioning for Deep Neural Network models. CAI Kishore Rajasekar, Randolph Loh, Kar-Wai Fok, Vrizlynn L. L. Thing
2024	J	`jnl`	Privacy preserving layer partitioning for Deep Neural Network models. CoRR Kishore Rajasekar, Randolph Loh, Kar-Wai Fok, Vrizlynn L. L. Thing
2024	—	`conf`	Privacy-Preserving Intrusion Detection using Convolutional Neural Networks. CAI Martin Kodys, Zhongmin Dai, Vrizlynn L. L. Thing
2024	J	`jnl`	Privacy-Preserving Intrusion Detection using Convolutional Neural Networks. CoRR Martin Kodys, Zhongmin Dai, Vrizlynn L. L. Thing
2023	B	`conf`	A Public Key Infrastructure for 5G Service-Based Architecture. TrustCom Ayush Kumar, Vrizlynn L. L. Thing
2023	J	`jnl`	A Public Key Infrastructure for 5G Service-Based Architecture. CoRR Ayush Kumar, Vrizlynn L. L. Thing
2023	J	`jnl`	An adversarial attack approach for eXplainable AI evaluation on deepfake detection models. CoRR Balachandar Gowrisankar, Vrizlynn L. L. Thing
2023	Misc	`conf`	Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers. CSR Vrizlynn L. L. Thing
2023	J	`jnl`	Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers. CoRR Vrizlynn L. L. Thing
2023	Misc	`conf`	Enhancing Cyber-Resilience in Self-Healing Cyber-Physical Systems with Implicit Guarantees. CSR Randolph Loh, Vrizlynn L. L. Thing
2023	J	`jnl`	Enhancing Cyber-Resilience in Self-Healing Cyber-Physical Systems with Implicit Guarantees. CoRR Randolph Loh, Vrizlynn L. L. Thing
2023	B	`conf`	FaceLivePlus: A Unified System for Face Liveness Detection and Face Verification. ICMR Ying Zhang, Lilei Zheng, Vrizlynn L. L. Thing, Roger Zimmermann, Bin Guo, Zhiwen Yu
2023	J	`jnl`	Feature Mining for Encrypted Malicious Traffic Detection with Deep Learning and Other Machine Learning Algorithms. CoRR Zihao Wang, Vrizlynn L. L. Thing
2023	J	`jnl`	Feature mining for encrypted malicious traffic detection with deep learning and other machine learning algorithms. Comput. Secur. Zihao Wang, Vrizlynn L. L. Thing
2023	J	`jnl`	Few-shot Weakly-supervised Cybersecurity Anomaly Detection. CoRR Rahul Kale, Vrizlynn L. L. Thing
2023	J	`jnl`	Few-shot weakly-supervised cybersecurity anomaly detection. Comput. Secur. Rahul Kale, Vrizlynn L. L. Thing
2023	Misc	`conf`	Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection. ITNAC Ayush Kumar, Vrizlynn L. L. Thing
2023	J	`jnl`	Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection. CoRR Ayush Kumar, Vrizlynn L. L. Thing
2023	C	`conf`	RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation. PST Ayush Kumar, Vrizlynn L. L. Thing
2023	J	`jnl`	RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation. CoRR Ayush Kumar, Vrizlynn L. L. Thing
2023	J	`jnl`	Toward a Universal and Sustainable Privacy Protection Framework. Digit. Gov. Res. Pract. Jonathan W. Z. Lim, Vrizlynn L. L. Thing
2022	—	`conf`	"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Malware Detector. BigDataSecurity/HPSC/IDS Zhi Lu, Vrizlynn L. L. Thing
2022	—	`conf`	A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection. BigDataSecurity/HPSC/IDS Rahul Kale, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing
2022	J	`jnl`	A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection. CoRR Rahul Kale, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing
2022	J	`jnl`	Clustering based opcode graph generation for malware variant detection. CoRR Kar-Wai Fok, Vrizlynn L. L. Thing
2022	J	`jnl`	Data Privacy in Multi-Cloud: An Enhanced Data Fragmentation Framework. CoRR Randolph Loh, Vrizlynn L. L. Thing
2022	B	`conf`	IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning. IEEE Big Data Vrizlynn L. L. Thing
2022	J	`jnl`	IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning. CoRR Vrizlynn L. L. Thing
2022	J	`jnl`	Intrusion Detection in Internet of Things using Convolutional Neural Networks. CoRR Martin Kodys, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing
2022	J	`jnl`	Machine Learning for Encrypted Malicious Traffic Detection: Approaches, Datasets and Comparative Study. CoRR Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
2022	J	`jnl`	Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study. Comput. Secur. Zihao Wang, Fok Kar Wai, Vrizlynn L. L. Thing
2022	C	`conf`	PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection. IoTBDS Zhi Lu, Vrizlynn L. L. Thing
2022	J	`jnl`	PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection. CoRR Zhi Lu, Vrizlynn L. L. Thing
2022	J	`jnl`	Towards Effective Cybercrime Intervention. CoRR Jonathan W. Z. Lim, Vrizlynn L. L. Thing
2021	J	`jnl`	"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector. CoRR Zhi Lu, Vrizlynn L. L. Thing
2021	C	`conf`	Clustering based opcode graph generation for malware variant detection. PST Fok Kar Wai, Vrizlynn L. L. Thing
2021	C	`conf`	Data Privacy in Multi-Cloud: An Enhanced Data Fragmentation Framework. PST Randolph Loh, Vrizlynn L. L. Thing
2021	C	`conf`	Intrusion Detection in Internet of Things using Convolutional Neural Networks. PST Martin Kodys, Zhi Lu, Fok Kar Wai, Vrizlynn L. L. Thing
2021	J	`jnl`	Three Decades of Deception Techniques in Active Cyber Defense - Retrospect and Outlook. CoRR Li Zhang, Vrizlynn L. L. Thing
2021	J	`jnl`	Three decades of deception techniques in active cyber defense - Retrospect and outlook. Comput. Secur. Li Zhang, Vrizlynn L. L. Thing
2020	J	`jnl`	A Novel Video Forgery Detection Model Based on Triangular Polarity Feature Classification. Int. J. Digit. Crime Forensics Chee Cheun Huang, Chien Eao Lee, Vrizlynn L. L. Thing
2019	J	`jnl`	A scalable and extensible framework for android malware detection and family attribution. Comput. Secur. Li Zhang, Vrizlynn L. L. Thing, Yao Cheng
2019	J	`jnl`	A survey on image tampering and its detection in real-world photos. J. Vis. Commun. Image Represent. Lilei Zheng, Ying Zhang, Vrizlynn L. L. Thing
2019	C	`conf`	Coverless Image Steganography Framework with Increased Payload Capacity. ISM Ying Zhang, Lilei Zheng, Yew Yi Lu, Vrizlynn L. L. Thing, Roger Zimmermann
2019	J	`jnl`	PowerNet: Neural Power Demand Forecasting in Smart Grid. CoRR Yao Cheng, Chang Xu, Daisuke Mashima, Vrizlynn L. L. Thing, Yongdong Wu
2019	—	`conf`	Securing Intelligent Transportation System: A Blockchain-Based Approach with Attack Mitigation. SmartBlock Le Su, Yao Cheng, Huasong Meng, Vrizlynn L. L. Thing, Zhe Wang, Linghe Kong, Long Cheng
2018	J	`jnl`	A semi-feature learning approach for tampered region localization across multi-format images. Multim. Tools Appl. Ying Zhang, Vrizlynn L. L. Thing
2018	J	`jnl`	A survey of Android exploits in the wild. Comput. Secur. Huasong Meng, Vrizlynn L. L. Thing, Yao Cheng, Zhongmin Dai, Li Zhang
2018	J	`jnl`	Anomaly Detection and Attribution in Networks With Temporally Correlated Traffic. IEEE/ACM Trans. Netw. Ido Nevat, Dinil Mon Divakaran, Sai Ganesh Nagarajan, Pengfei Zhang, Le Su, Li Ling Ko, Vrizlynn L. L. Thing
2018	C	`conf`	Assisting Vulnerability Detection by Prioritizing Crashes with Incremental Learning. TENCON Li Zhang, Vrizlynn L. L. Thing
2018	C	`conf`	Automated Botnet Traffic Detection via Machine Learning. TENCON Fok Kar Wai, Lilei Zheng, Watt Kwong Wai, Le Su, Vrizlynn L. L. Thing
2018	—	`conf`	Autonomous vehicle ultrasonic sensor vulnerability and impact assessment. WF-IoT Bing Shun Lim, Sye Loong Keoh, Vrizlynn L. L. Thing
2018	C	`conf`	BIFF: A Blockchain-based IoT Forensics Framework with Identity Privacy. TENCON Duc-Phong Le, Huasong Meng, Le Su, Sze Ling Yeo, Vrizlynn L. L. Thing
2018	C	`conf`	Face Spoofing Video Detection Using Spatio-Temporal Statistical Binary Pattern. TENCON Ying Zhang, Rohit Kumar Dubey, Guang Hua, Vrizlynn L. L. Thing
2018	—	`conf`	Predicting vulnerability discovery rate using past versions of a software. SOLI Fok Kar Wai, Wee-Yong Lim, Dinil Mon Divakaran, Vrizlynn L. L. Thing
2018	—	`conf`	Privacy preserving IP traceback. ISBA Le Su, Dinil Mon Divakaran, Vrizlynn L. L. Thing
2018	C	`conf`	Progressive Control Flow Obfuscation for Android Applications. TENCON Li Zhang, Huasong Meng, Vrizlynn L. L. Thing
2018	C	`conf`	Towards Building a Remote Anti-spoofing Face Authentication System. TENCON Chien Eao Lee, Lilei Zheng, Ying Zhang, Vrizlynn L. L. Thing, Ying Yu Chu
2017	—	`conf`	A Deep Convolutional Neural Network for Anomalous Online Forum Incident Classification. SG-CRC Victor Pomponiu, Vrizlynn L. L. Thing
2017	C	`conf`	An Empirical Study on Collective Online Behaviors of Extremist Supporters. ADMA Jung-Jae Kim, Yong Liu, Wee-Yong Lim, Vrizlynn L. L. Thing
2017	—	`conf`	Chat-App Decryption Key Extraction Through Information Flow Analysis. SG-CRC Zhongmin Dai, Tong-Wei Chua, Dinesh Kumar Balakrishnan, Vrizlynn L. L. Thing
2017	J	`jnl`	Evidence gathering for network security and forensics. Digit. Investig. Dinil Mon Divakaran, Fok Kar Wai, Ido Nevat, Vrizlynn L. L. Thing
2017	J	`jnl`	FACT: A Framework for Authentication in Cloud-Based IP Traceback. IEEE Trans. Inf. Forensics Secur. Long Cheng, Dinil Mon Divakaran, Aloysius Wooi Kiak Ang, Wee-Yong Lim, Vrizlynn L. L. Thing
2017	B	`conf`	IEEE 802.11 Network Anomaly Detection and Attack Classification: A Deep Learning Approach. WCNC Vrizlynn L. L. Thing
2017	J	`jnl`	Insider threat detection and its future directions. Int. J. Secur. Networks Li Ling Ko, Dinil Mon Divakaran, Yung Siang Liau, Vrizlynn L. L. Thing
2017	—	`conf`	Low-Dimensional Bigram Analysis for Mobile Data Fragment Classification. SG-CRC Chien Eao Lee, Lilei Zheng, Ying Zhang, Vrizlynn L. L. Thing
2017	J	`jnl`	On Practical Issues of Electric Network Frequency Based Audio Forensics. IEEE Access Guang Hua, Guoan Bi, Vrizlynn L. L. Thing
2017	C	`conf`	PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network. ADMA Yao Cheng, Chang Xu, Daisuke Mashima, Vrizlynn L. L. Thing, Yongdong Wu
2017	J	`jnl`	REX: Resilient and efficient data structure for tracking network flows. Comput. Networks Dinil Mon Divakaran, Li Ling Ko, Le Su, Vrizlynn L. L. Thing
2017	J	`jnl`	Time-of-recording estimation for audio recordings. Digit. Investig. Lilei Zheng, Ying Zhang, Chien Eao Lee, Vrizlynn L. L. Thing
2017	—	`conf`	Understanding multi-layer perceptrons on spatial image steganalysis features. APSIPA Lilei Zheng, Ying Zhang, Vrizlynn L. L. Thing
2016	—	`conf`	Accurate in-network file-type classification. SG-CRC Dinil Mon Divakaran, Yung Siang Liau, Vrizlynn L. L. Thing
2016	J	`jnl`	Audio Authentication by Exploring the Absolute-Error-Map of ENF Signals. IEEE Trans. Inf. Forensics Secur. Guang Hua, Ying Zhang, Jonathan Goh, Vrizlynn L. L. Thing
2016	—	`conf`	Autonomous Vehicle Security: A Taxonomy of Attacks and Defences. iThings/GreenCom/CPSCom/SmartData Vrizlynn L. L. Thing, Jiaxi Wu
2016	J	`jnl`	Control flow obfuscation for Android applications. Comput. Secur. Vivek Balachandran, Sufatrio, Darell J. J. Tan, Vrizlynn L. L. Thing
2016	J	`jnl`	Fingerprint Liveness Detection From Single Image Using Low-Level Features and Shape Analysis. IEEE Trans. Inf. Forensics Secur. Rohit Kumar Dubey, Jonathan Goh, Vrizlynn L. L. Thing
2016	—	`conf`	Image Region Forgery Detection: A Deep Learning Approach. SG-CRC Ying Zhang, Jonathan Goh, Lei Lei Win, Vrizlynn L. L. Thing
2016	J	`jnl`	Opportunistic Piggyback Marking for IP Traceback. IEEE Trans. Inf. Forensics Secur. Long Cheng, Dinil Mon Divakaran, Wee-Yong Lim, Vrizlynn L. L. Thing
2016	J	`jnl`	Twenty years of digital audio watermarking - a comprehensive review. Signal Process. Guang Hua, Jiwu Huang, Yun Q. Shi, Jonathan Goh, Vrizlynn L. L. Thing
2015	J	`jnl`	A hybrid evolutionary algorithm for feature and ensemble selection in image tampering detection. Int. J. Electron. Secur. Digit. Forensics Jonathan Goh, Vrizlynn L. L. Thing
2015	—	`conf`	Accurate Specification for Robust Detection of Malicious Behavior in Mobile Environments. ESORICS (2) Sufatrio, Tong-Wei Chua, Darell J. J. Tan, Vrizlynn L. L. Thing
2015	J	`jnl`	Cepstral Analysis for the Application of Echo-Based Audio Watermark Detection. IEEE Trans. Inf. Forensics Secur. Guang Hua, Jonathan Goh, Vrizlynn L. L. Thing
2015	J	`jnl`	SLIC: Self-Learning Intelligent Classifier for network traffic. Comput. Networks Dinil Mon Divakaran, Le Su, Yung Siang Liau, Vrizlynn L. L. Thing
2015	J	`jnl`	Securing Android: A Survey, Taxonomy, and Challenges. ACM Comput. Surv. Sufatrio, Darell J. J. Tan, Tong-Wei Chua, Vrizlynn L. L. Thing
2015	J	`jnl`	Time-Spread Echo-Based Audio Watermarking With Optimized Imperceptibility and Robustness. IEEE ACM Trans. Audio Speech Lang. Process. Guang Hua, Jonathan Goh, Vrizlynn L. L. Thing
2014	J	`jnl`	A Dynamic Matching Algorithm for Audio Timestamp Identification Using the ENF Criterion. IEEE Trans. Inf. Forensics Secur. Guang Hua, Jonathan Goh, Vrizlynn L. L. Thing
2014	—	`conf`	Conditional Weighted Transaction Aggregation for Credit Card Fraud Detection. IFIP Int. Conf. Digital Forensics Wee-Yong Lim, Amit Sachan, Vrizlynn L. L. Thing
2013	—	`conf`	A Lightweight Algorithm for Automated Forum Information Processing. Web Intelligence Wee-Yong Lim, Amit Sachan, Vrizlynn L. L. Thing
2013	—	`conf`	Content-centric Age and Gender Profiling Notebook for PAN at CLEF 2013. CLEF (Working Notes) Wee-Yong Lim, Jonathan Goh, Vrizlynn L. L. Thing
2013	J	`jnl`	Image content analysis for sector-wise JPEG fragment classification. J. Vis. Commun. Image Represent. Yu Chen, Vrizlynn L. L. Thing
2013	Misc	`conf`	Smartphone Volatile Memory Acquisition for Security Analysis and Forensics Investigation. SEC Vrizlynn L. L. Thing, Zheng Leong Chua
2012	—	`conf`	A Generalized Links and Text Properties Based Forum Crawler. Web Intelligence Amit Sachan, Wee-Yong Lim, Vrizlynn L. L. Thing
2012	C	`conf`	An Improved Double Compression Detection Method for JPEG Image Forensics. ISM Vrizlynn L. L. Thing, Yu Chen, Carmen Cheh
2012	—	`conf`	An enhanced intelligent forum crawler. CISDA Hwei-Ming Ying, Vrizlynn L. L. Thing
2012	Misc	`conf`	Enhanced Dictionary Based Rainbow Table. SEC Vrizlynn L. L. Thing, Hwei-Ming Ying
2012	C	`conf`	Logo Classification with Edge-Based DAISY Descriptor. ISM Bai Ying Lei, Vrizlynn L. L. Thing, Yu Chen, Wee-Yong Lim
2012	C	`conf`	Symbian Smartphone Forensics and Security: Recovery of Privacy-Protected Deleted Data. ICICS Vrizlynn L. L. Thing, Darell J. J. Tan
2012	C	`conf`	Using Low Level Gradient Channels for Computationally Efficient Object Detection and Its Application in Logo Detection. ISM Yu Chen, Vrizlynn L. L. Thing
2011	—	`conf`	A Noise-Tolerant Enhanced Classification Method for Logo Detection and Brand Classification. FGIT-SecTech Yu Chen, Vrizlynn L. L. Thing
2011	A	`conf`	Content based JPEG fragmentation point detection. ICME Qiming Li, Bilgehan Sahin, Ee-Chien Chang, Vrizlynn L. L. Thing
2011	C	`conf`	Design of a Digital Forensics Evidence Reconstruction System for Complex and Obscure Fragmented File Carving. CIS Vrizlynn L. L. Thing, Tong-Wei Chua, Ming-Lee Cheong
2011	—	`conf`	Design of a Modular Framework for Noisy Logo Classification in Fraud Detection. FGIT-SecTech Vrizlynn L. L. Thing, Wee-Yong Lim, Junming Zeng, Darell J. J. Tan, Yu Chen
2010	—	`conf`	A Novel Inequality-Based Fragmented File Carving Technique. e-Forensics Hwei-Ming Ying, Vrizlynn L. L. Thing
2010	—	`conf`	A Novel Support Vector Machine Approach to High Entropy Data Fragment Classification. SAISMC Qiming Li, Alvin Ong, Ponnuthurai N. Suganthan, Vrizlynn L. L. Thing
2010	J	`jnl`	Live memory forensics of mobile phones. Digit. Investig. Vrizlynn L. L. Thing, Kian-Yong Ng, Ee-Chien Chang
2010	—	`conf`	Optimal Path Construction for Fragmented File Carving. SAISMC Hwei-Ming Ying, Vrizlynn L. L. Thing
2010	—	`conf`	Virtual Expansion of Rainbow Tables. IFIP Int. Conf. Digital Forensics Vrizlynn L. L. Thing
2009	J	`jnl`	A novel time-memory trade-off method for password recovery. Digit. Investig. Vrizlynn L. L. Thing, Hwei-Ming Ying
2009	—	`conf`	Adaptive response system for distributed denial-of-service attacks. Integrated Network Management Vrizlynn L. L. Thing, Morris Sloman, Naranker Dulay
2009	J	`jnl`	Locating network domain entry and exit point/path for DDoS attack traffic. IEEE Trans. Netw. Serv. Manag. Vrizlynn L. L. Thing, Morris Sloman, Naranker Dulay
2008	—	`—`	Adaptive Response System for Distributed Denial-of-Service Attacks. Vrizlynn L. L. Thing
2008	B	`conf`	Network domain entrypoint/path determination for DDoS attacks. NOMS Vrizlynn L. L. Thing, Morris Sloman, Naranker Dulay
2007	Misc	`conf`	A Survey of Bots Used for Distributed Denial of Service Attacks. SEC Vrizlynn L. L. Thing, Morris Sloman, Naranker Dulay
2007	A	`conf`	Non-intrusive IP traceback for DDoS attacks. AsiaCCS Vrizlynn L. L. Thing, Morris Sloman, Naranker Dulay
2005	Misc	`conf`	Traffic Redirection Attack Protection System (TRAPS) - A Full-Fledged Adaptive DoS/DDoS Attack Mitigation Scheme. SEC Vrizlynn L. L. Thing, Henry C. J. Lee, Morris Sloman
2004	J	`jnl`	Bandwidth-efficient WDM channel allocation for four-wave mixing-effect minimization. IEEE Trans. Commun. Vrizlynn L. L. Thing, Ping Shum, M. K. Rao
2003	—	`conf`	A local mobility agent selection algorithm for mobile networks. ICC Yi Xu, Henry C. J. Lee, Vrizlynn L. L. Thing
2003	C	`conf`	ICMP Traceback with Cumulative Path, an Efficient Solution for IP Traceback. ICICS Henry C. J. Lee, Vrizlynn L. L. Thing, Yi Xu, Miao Ma
2003	C	`conf`	On the Issues of IP Traceback for IPv6 and Mobile IPv6. ISCC Henry C. J. Lee, Miao Ma, Vrizlynn L. L. Thing, Yi Xu
2003	C	`conf`	Performance Evaluation of Hop-by-Hop Local Mobility Agents Probing for Mobile IPv6. ISCC Vrizlynn L. L. Thing, Henry C. J. Lee, Yi Xu
2002	—	`conf`	Designs and analysis of local mobility agents discovery, selection and failure detection for Mobile IPv6. MWCN Vrizlynn L. L. Thing, Henry C. J. Lee, Yi Xu