Designs and analysis of local mobility agents discovery, selection and failure detection for Mobile IPv6. - Vrizlynn L. L. Thing; Henry C. J. Lee; Yi Xu (MWCN, 2002)

A local mobility agent selection algorithm for mobile networks. - Yi Xu; Henry C. J. Lee; Vrizlynn L. L. Thing (ICC, 2003)

ICMP Traceback with Cumulative Path, an Efficient Solution for IP Traceback. - Henry C. J. Lee; Vrizlynn L. L. Thing; Yi Xu; Miao Ma (ICICS, 2003)

On the Issues of IP Traceback for IPv6 and Mobile IPv6. - Henry C. J. Lee; Miao Ma; Vrizlynn L. L. Thing; Yi Xu (ISCC, 2003)

Performance Evaluation of Hop-by-Hop Local Mobility Agents Probing for Mobile IPv6. - Vrizlynn L. L. Thing; Henry C. J. Lee; Yi Xu (ISCC, 2003)

Bandwidth-efficient WDM channel allocation for four-wave mixing-effect minimization. - Vrizlynn L. L. Thing; Ping Shum 001; M. K. Rao (IEEE Trans. Commun., 2004)

Traffic Redirection Attack Protection System (TRAPS) - A Full-Fledged Adaptive DoS/DDoS Attack Mitigation Scheme. - Vrizlynn L. L. Thing; Henry C. J. Lee; Morris Sloman (SEC, 2005)

Non-intrusive IP traceback for DDoS attacks. - Vrizlynn L. L. Thing; Morris Sloman; Naranker Dulay (AsiaCCS, 2007)

A Survey of Bots Used for Distributed Denial of Service Attacks. - Vrizlynn L. L. Thing; Morris Sloman; Naranker Dulay (SEC, 2007)

Network domain entrypoint/path determination for DDoS attacks. - Vrizlynn L. L. Thing; Morris Sloman; Naranker Dulay (NOMS, 2008)

Adaptive Response System for Distributed Denial-of-Service Attacks. - Vrizlynn L. L. Thing (2008)

Adaptive response system for distributed denial-of-service attacks. - Vrizlynn L. L. Thing; Morris Sloman; Naranker Dulay (Integrated Network Management, 2009)

A novel time-memory trade-off method for password recovery. - Vrizlynn L. L. Thing; Hwei-Ming Ying (Digit. Investig., 2009)

Locating network domain entry and exit point/path for DDoS attack traffic. - Vrizlynn L. L. Thing; Morris Sloman; Naranker Dulay (IEEE Trans. Netw. Serv. Manag., 2009)

A Novel Inequality-Based Fragmented File Carving Technique. - Hwei-Ming Ying; Vrizlynn L. L. Thing (e-Forensics, 2010)

A Novel Support Vector Machine Approach to High Entropy Data Fragment Classification. - Qiming Li; Alvin Ong; Ponnuthurai N. Suganthan; Vrizlynn L. L. Thing (SAISMC, 2010)

Optimal Path Construction for Fragmented File Carving. - Hwei-Ming Ying; Vrizlynn L. L. Thing (SAISMC, 2010)

Virtual Expansion of Rainbow Tables. - Vrizlynn L. L. Thing (IFIP Int. Conf. Digital Forensics, 2010)

Live memory forensics of mobile phones. - Vrizlynn L. L. Thing; Kian-Yong Ng; Ee-Chien Chang (Digit. Investig., 2010)

Design of a Digital Forensics Evidence Reconstruction System for Complex and Obscure Fragmented File Carving. - Vrizlynn L. L. Thing; Tong-Wei Chua; Ming-Lee Cheong (CIS, 2011)

A Noise-Tolerant Enhanced Classification Method for Logo Detection and Brand Classification. - Yu Chen; Vrizlynn L. L. Thing (FGIT-SecTech, 2011)

Design of a Modular Framework for Noisy Logo Classification in Fraud Detection. - Vrizlynn L. L. Thing; Wee-Yong Lim; Junming Zeng; Darell J. J. Tan; Yu Chen (FGIT-SecTech, 2011)

Content based JPEG fragmentation point detection. - Qiming Li; Bilgehan Sahin; Ee-Chien Chang; Vrizlynn L. L. Thing (ICME, 2011)

An enhanced intelligent forum crawler. - Hwei-Ming Ying; Vrizlynn L. L. Thing (CISDA, 2012)

Symbian Smartphone Forensics and Security: Recovery of Privacy-Protected Deleted Data. - Vrizlynn L. L. Thing; Darell J. J. Tan (ICICS, 2012)

Using Low Level Gradient Channels for Computationally Efficient Object Detection and Its Application in Logo Detection. - Yu Chen; Vrizlynn L. L. Thing (ISM, 2012)

Logo Classification with Edge-Based DAISY Descriptor. - Bai Ying Lei; Vrizlynn L. L. Thing; Yu Chen; Wee-Yong Lim (ISM, 2012)

An Improved Double Compression Detection Method for JPEG Image Forensics. - Vrizlynn L. L. Thing; Yu Chen; Carmen Cheh (ISM, 2012)

Enhanced Dictionary Based Rainbow Table. - Vrizlynn L. L. Thing; Hwei-Ming Ying (SEC, 2012)

A Generalized Links and Text Properties Based Forum Crawler. - Amit Sachan; Wee-Yong Lim; Vrizlynn L. L. Thing (Web Intelligence, 2012)

Content-centric Age and Gender Profiling Notebook for PAN at CLEF 2013. - Wee-Yong Lim; Jonathan Goh; Vrizlynn L. L. Thing (CLEF (Working Notes), 2013)

Smartphone Volatile Memory Acquisition for Security Analysis and Forensics Investigation. - Vrizlynn L. L. Thing; Zheng Leong Chua (SEC, 2013)

A Lightweight Algorithm for Automated Forum Information Processing. - Wee-Yong Lim; Amit Sachan; Vrizlynn L. L. Thing (Web Intelligence, 2013)

Image content analysis for sector-wise JPEG fragment classification. - Yu Chen; Vrizlynn L. L. Thing (J. Vis. Commun. Image Represent., 2013)

Conditional Weighted Transaction Aggregation for Credit Card Fraud Detection. - Wee-Yong Lim; Amit Sachan; Vrizlynn L. L. Thing (IFIP Int. Conf. Digital Forensics, 2014)

A Dynamic Matching Algorithm for Audio Timestamp Identification Using the ENF Criterion. - Guang Hua 001; Jonathan Goh; Vrizlynn L. L. Thing (IEEE Trans. Inf. Forensics Secur., 2014)

Accurate Specification for Robust Detection of Malicious Behavior in Mobile Environments. - Sufatrio; Tong-Wei Chua; Darell J. J. Tan; Vrizlynn L. L. Thing (ESORICS (2), 2015)

SLIC: Self-Learning Intelligent Classifier for network traffic. - Dinil Mon Divakaran; Le Su; Yung Siang Liau; Vrizlynn L. L. Thing (Comput. Networks, 2015)

Securing Android: A Survey, Taxonomy, and Challenges. - Sufatrio; Darell J. J. Tan; Tong-Wei Chua; Vrizlynn L. L. Thing (ACM Comput. Surv., 2015)

A hybrid evolutionary algorithm for feature and ensemble selection in image tampering detection. - Jonathan Goh; Vrizlynn L. L. Thing (Int. J. Electron. Secur. Digit. Forensics, 2015)

Time-Spread Echo-Based Audio Watermarking With Optimized Imperceptibility and Robustness. - Guang Hua 001; Jonathan Goh; Vrizlynn L. L. Thing (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Cepstral Analysis for the Application of Echo-Based Audio Watermark Detection. - Guang Hua 001; Jonathan Goh; Vrizlynn L. L. Thing (IEEE Trans. Inf. Forensics Secur., 2015)

Autonomous Vehicle Security: A Taxonomy of Attacks and Defences. - Vrizlynn L. L. Thing; Jiaxi Wu (iThings/GreenCom/CPSCom/SmartData, 2016)

Accurate in-network file-type classification. - Dinil Mon Divakaran; Yung Siang Liau; Vrizlynn L. L. Thing (SG-CRC, 2016)

Image Region Forgery Detection: A Deep Learning Approach. - Ying Zhang 047; Jonathan Goh; Lei Lei Win; Vrizlynn L. L. Thing (SG-CRC, 2016)

Control flow obfuscation for Android applications. - Vivek Balachandran; Sufatrio; Darell J. J. Tan; Vrizlynn L. L. Thing (Comput. Secur., 2016)

Twenty years of digital audio watermarking - a comprehensive review. - Guang Hua 001; Jiwu Huang; Yun Q. Shi 001; Jonathan Goh; Vrizlynn L. L. Thing (Signal Process., 2016)

Opportunistic Piggyback Marking for IP Traceback. - Long Cheng 005; Dinil Mon Divakaran; Wee-Yong Lim; Vrizlynn L. L. Thing (IEEE Trans. Inf. Forensics Secur., 2016)

Fingerprint Liveness Detection From Single Image Using Low-Level Features and Shape Analysis. - Rohit Kumar Dubey; Jonathan Goh; Vrizlynn L. L. Thing (IEEE Trans. Inf. Forensics Secur., 2016)

Audio Authentication by Exploring the Absolute-Error-Map of ENF Signals. - Guang Hua 001; Ying Zhang 047; Jonathan Goh; Vrizlynn L. L. Thing (IEEE Trans. Inf. Forensics Secur., 2016)

PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network. - Yao Cheng; Chang Xu 003; Daisuke Mashima; Vrizlynn L. L. Thing; Yongdong Wu (ADMA, 2017)

An Empirical Study on Collective Online Behaviors of Extremist Supporters. - Jung-Jae Kim 001; Yong Liu 020; Wee-Yong Lim; Vrizlynn L. L. Thing (ADMA, 2017)

Understanding multi-layer perceptrons on spatial image steganalysis features. - Lilei Zheng; Ying Zhang 047; Vrizlynn L. L. Thing (APSIPA, 2017)

Chat-App Decryption Key Extraction Through Information Flow Analysis. - Zhongmin Dai; Tong-Wei Chua; Dinesh Kumar Balakrishnan; Vrizlynn L. L. Thing (SG-CRC, 2017)

Low-Dimensional Bigram Analysis for Mobile Data Fragment Classification. - Chien Eao Lee; Lilei Zheng; Ying Zhang 047; Vrizlynn L. L. Thing (SG-CRC, 2017)

A Deep Convolutional Neural Network for Anomalous Online Forum Incident Classification. - Victor Pomponiu; Vrizlynn L. L. Thing (SG-CRC, 2017)

IEEE 802.11 Network Anomaly Detection and Attack Classification: A Deep Learning Approach. - Vrizlynn L. L. Thing (WCNC, 2017)

On Practical Issues of Electric Network Frequency Based Audio Forensics. - Guang Hua 001; Guoan Bi; Vrizlynn L. L. Thing (IEEE Access, 2017)

REX: Resilient and efficient data structure for tracking network flows. - Dinil Mon Divakaran; Li Ling Ko; Le Su; Vrizlynn L. L. Thing (Comput. Networks, 2017)

Evidence gathering for network security and forensics. - Dinil Mon Divakaran; Fok Kar Wai; Ido Nevat; Vrizlynn L. L. Thing (Digit. Investig., 2017)

Time-of-recording estimation for audio recordings. - Lilei Zheng; Ying Zhang 047; Chien Eao Lee; Vrizlynn L. L. Thing (Digit. Investig., 2017)

Insider threat detection and its future directions. - Li Ling Ko; Dinil Mon Divakaran; Yung Siang Liau; Vrizlynn L. L. Thing (Int. J. Secur. Networks, 2017)

FACT: A Framework for Authentication in Cloud-Based IP Traceback. - Long Cheng 005; Dinil Mon Divakaran; Aloysius Wooi Kiak Ang; Wee-Yong Lim; Vrizlynn L. L. Thing (IEEE Trans. Inf. Forensics Secur., 2017)

Privacy preserving IP traceback. - Le Su; Dinil Mon Divakaran; Vrizlynn L. L. Thing (ISBA, 2018)

Predicting vulnerability discovery rate using past versions of a software. - Fok Kar Wai; Wee-Yong Lim; Dinil Mon Divakaran; Vrizlynn L. L. Thing (SOLI, 2018)

BIFF: A Blockchain-based IoT Forensics Framework with Identity Privacy. - Duc-Phong Le; Huasong Meng 001; Le Su; Sze Ling Yeo; Vrizlynn L. L. Thing (TENCON, 2018)

Towards Building a Remote Anti-spoofing Face Authentication System. - Chien Eao Lee; Lilei Zheng; Ying Zhang 047; Vrizlynn L. L. Thing; Ying Yu Chu (TENCON, 2018)

Automated Botnet Traffic Detection via Machine Learning. - Fok Kar Wai; Lilei Zheng; Watt Kwong Wai; Le Su; Vrizlynn L. L. Thing (TENCON, 2018)

Face Spoofing Video Detection Using Spatio-Temporal Statistical Binary Pattern. - Ying Zhang 047; Rohit Kumar Dubey; Guang Hua 001; Vrizlynn L. L. Thing (TENCON, 2018)

Progressive Control Flow Obfuscation for Android Applications. - Li Zhang; Huasong Meng 001; Vrizlynn L. L. Thing (TENCON, 2018)

Assisting Vulnerability Detection by Prioritizing Crashes with Incremental Learning. - Li Zhang; Vrizlynn L. L. Thing (TENCON, 2018)

Autonomous vehicle ultrasonic sensor vulnerability and impact assessment. - Bing Shun Lim; Sye Loong Keoh; Vrizlynn L. L. Thing (WF-IoT, 2018)

A survey of Android exploits in the wild. - Huasong Meng 001; Vrizlynn L. L. Thing; Yao Cheng; Zhongmin Dai; Li Zhang (Comput. Secur., 2018)

A semi-feature learning approach for tampered region localization across multi-format images. - Ying Zhang 047; Vrizlynn L. L. Thing (Multim. Tools Appl., 2018)

Anomaly Detection and Attribution in Networks With Temporally Correlated Traffic. - Ido Nevat; Dinil Mon Divakaran; Sai Ganesh Nagarajan; Pengfei Zhang 001; Le Su; Li Ling Ko; Vrizlynn L. L. Thing (IEEE/ACM Trans. Netw., 2018)

Coverless Image Steganography Framework with Increased Payload Capacity. - Ying Zhang 047; Lilei Zheng; Yew Yi Lu; Vrizlynn L. L. Thing; Roger Zimmermann (ISM, 2019)

Securing Intelligent Transportation System: A Blockchain-Based Approach with Attack Mitigation. - Le Su; Yao Cheng; Huasong Meng 001; Vrizlynn L. L. Thing; Zhe Wang 015; Linghe Kong; Long Cheng 005 (SmartBlock, 2019)

A scalable and extensible framework for android malware detection and family attribution. - Li Zhang; Vrizlynn L. L. Thing; Yao Cheng (Comput. Secur., 2019)

PowerNet: Neural Power Demand Forecasting in Smart Grid. - Yao Cheng; Chang Xu 003; Daisuke Mashima; Vrizlynn L. L. Thing; Yongdong Wu (CoRR, 2019)

A survey on image tampering and its detection in real-world photos. - Lilei Zheng; Ying Zhang 047; Vrizlynn L. L. Thing (J. Vis. Commun. Image Represent., 2019)

A Novel Video Forgery Detection Model Based on Triangular Polarity Feature Classification. - Chee Cheun Huang; Chien Eao Lee; Vrizlynn L. L. Thing (Int. J. Digit. Crime Forensics, 2020)

Intrusion Detection in Internet of Things using Convolutional Neural Networks. - Martin Kodys; Zhi Lu; Fok Kar Wai; Vrizlynn L. L. Thing (PST, 2021)

Data Privacy in Multi-Cloud: An Enhanced Data Fragmentation Framework. - Randolph Loh; Vrizlynn L. L. Thing (PST, 2021)

Clustering based opcode graph generation for malware variant detection. - Fok Kar Wai; Vrizlynn L. L. Thing (PST, 2021)

Three decades of deception techniques in active cyber defense - Retrospect and outlook. - Li Zhang; Vrizlynn L. L. Thing (Comput. Secur., 2021)

"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector. - Zhi Lu; Vrizlynn L. L. Thing (CoRR, 2021)

IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning. - Vrizlynn L. L. Thing (IEEE Big Data, 2022)

A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection. - Rahul Kale; Zhi Lu; Kar-Wai Fok; Vrizlynn L. L. Thing (BigDataSecurity/HPSC/IDS, 2022)

"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Malware Detector. - Zhi Lu; Vrizlynn L. L. Thing (BigDataSecurity/HPSC/IDS, 2022)

PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection. - Zhi Lu; Vrizlynn L. L. Thing (IoTBDS, 2022)

Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study. - Zihao Wang; Fok Kar Wai; Vrizlynn L. L. Thing (Comput. Secur., 2022)

Towards Effective Cybercrime Intervention. - Jonathan W. Z. Lim; Vrizlynn L. L. Thing (CoRR, 2022)

Enhancing Cyber-Resilience in Self-Healing Cyber-Physical Systems with Implicit Guarantees. - Randolph Loh; Vrizlynn L. L. Thing (CSR, 2023)

Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers. - Vrizlynn L. L. Thing (CSR, 2023)

Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection. - Ayush Kumar 001; Vrizlynn L. L. Thing (ITNAC, 2023)

FaceLivePlus: A Unified System for Face Liveness Detection and Face Verification. - Ying Zhang 047; Lilei Zheng; Vrizlynn L. L. Thing; Roger Zimmermann; Bin Guo 001; Zhiwen Yu 001 (ICMR, 2023)

RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation. - Ayush Kumar 001; Vrizlynn L. L. Thing (PST, 2023)

A Public Key Infrastructure for 5G Service-Based Architecture. - Ayush Kumar 001; Vrizlynn L. L. Thing (TrustCom, 2023)

Few-shot weakly-supervised cybersecurity anomaly detection. - Rahul Kale; Vrizlynn L. L. Thing (Comput. Secur., 2023)

Feature mining for encrypted malicious traffic detection with deep learning and other machine learning algorithms. - Zihao Wang; Vrizlynn L. L. Thing (Comput. Secur., 2023)

Toward a Universal and Sustainable Privacy Protection Framework. - Jonathan W. Z. Lim; Vrizlynn L. L. Thing (Digit. Gov. Res. Pract., 2023)

Emerging Trends in 5G Malicious Traffic Analysis: Enhancing Incremental Learning Intrusion Detection Strategies. - Zihao Wang; Kar-Wai Fok; Vrizlynn L. L. Thing (CSR, 2024)

CPE-Identifier: Automated CPE Identification and CVE Summaries Annotation with Deep Learning and NLP. - Wanyu Hu; Vrizlynn L. L. Thing (ICISSP, 2024)

ExpIDS: A Drift-Adaptable Network Intrusion Detection System with Improved Explainability. - Ayush Kumar 001; Kar-Wai Fok; Vrizlynn L. L. Thing (ITNAC, 2024)

An adversarial attack approach for eXplainable AI evaluation on deepfake detection models. - Balachandar Gowrisankar; Vrizlynn L. L. Thing (Comput. Secur., 2024)

Enhancing network intrusion detection performance using generative adversarial networks. - Xinxing Zhao; Kar-Wai Fok; Vrizlynn L. L. Thing (Comput. Secur., 2024)

Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies. - Zihao Wang; Kar-Wai Fok; Vrizlynn L. L. Thing (CoRR, 2024)

Privacy preserving layer partitioning for Deep Neural Network models. - Kishore Rajasekar; Randolph Loh; Kar-Wai Fok; Vrizlynn L. L. Thing (CoRR, 2024)

Privacy-Preserving Intrusion Detection using Convolutional Neural Networks. - Martin Kodys; Zhongmin Dai; Vrizlynn L. L. Thing (CoRR, 2024)

Evaluating The Explainability of State-of-the-Art Machine Learning-based IoT Network Intrusion Detection Systems. - Ayush Kumar 001; Vrizlynn L. L. Thing (CoRR, 2024)

Building Confidence in a World of Eroding Trust. - Jonathan W. Z. Lim; Vrizlynn L. L. Thing (Digit. Gov. Res. Pract., 2024)

Enhanced Consistency Bi-directional GAN(CBiGAN) for Malware Anomaly Detection. - Thesath Wijayasiri; Kar-Wai Fok; Vrizlynn L. L. Thing (CoRR, 2025)

Network attack traffic detection with hybrid quantum-enhanced convolution neural network. - Zihao Wang; Kar-Wai Fok; Vrizlynn L. L. Thing (Quantum Mach. Intell., 2025)