Vrizlynn L. L. Thing

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 84

Top Venues

CoRR

Comput. Secur.

TENCON

IEEE Trans. Inf. Forensics Secur.

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Martin Kodys, Zhongmin Dai, Vrizlynn L. L. Thing
Privacy-Preserving Intrusion Detection using Convolutional Neural Networks. CoRR (2024)
Balachandar Gowrisankar, Vrizlynn L. L. Thing
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models. Comput. Secur. 139 (2024)
Wanyu Hu, Vrizlynn L. L. Thing
CPE-Identifier: Automated CPE identification and CVE summaries annotation with Deep Learning and NLP. CoRR (2024)
Jonathan W. Z. Lim, Vrizlynn L. L. Thing
Building Confidence in a World of Eroding Trust. Digit. Gov. Res. Pract. 5 (2) (2024)
Kishore Rajasekar, Randolph Loh, Kar-Wai Fok, Vrizlynn L. L. Thing
Privacy preserving layer partitioning for Deep Neural Network models. CoRR (2024)
Xinxing Zhao, Kar-Wai Fok, Vrizlynn L. L. Thing
Enhancing network intrusion detection performance using generative adversarial networks. Comput. Secur. 145 (2024)
Wanyu Hu, Vrizlynn L. L. Thing
CPE-Identifier: Automated CPE Identification and CVE Summaries Annotation with Deep Learning and NLP. ICISSP (2024)
Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies. CoRR (2024)
Xinxing Zhao, Kar-Wai Fok, Vrizlynn L. L. Thing
Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks. CoRR (2024)
Balachandar Gowrisankar, Vrizlynn L. L. Thing
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models. CoRR (2023)
Zihao Wang, Vrizlynn L. L. Thing
Feature mining for encrypted malicious traffic detection with deep learning and other machine learning algorithms. Comput. Secur. 128 (2023)
Randolph Loh, Vrizlynn L. L. Thing
Enhancing Cyber-Resilience in Self-Healing Cyber-Physical Systems with Implicit Guarantees. CSR (2023)
Vrizlynn L. L. Thing
Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers. CoRR (2023)
Jonathan W. Z. Lim, Vrizlynn L. L. Thing
Toward a Universal and Sustainable Privacy Protection Framework. Digit. Gov. Res. Pract. 4 (4) (2023)
Ayush Kumar, Vrizlynn L. L. Thing
Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection. ITNAC (2023)
Ayush Kumar, Vrizlynn L. L. Thing
RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation. CoRR (2023)
Vrizlynn L. L. Thing
Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers. CSR (2023)
Ayush Kumar, Vrizlynn L. L. Thing
A Public Key Infrastructure for 5G Service-Based Architecture. CoRR (2023)
Ayush Kumar, Vrizlynn L. L. Thing
A Public Key Infrastructure for 5G Service-Based Architecture. TrustCom (2023)
Rahul Kale, Vrizlynn L. L. Thing
Few-shot Weakly-supervised Cybersecurity Anomaly Detection. CoRR (2023)
Ayush Kumar, Vrizlynn L. L. Thing
Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection. CoRR (2023)
Ying Zhang, Lilei Zheng, Vrizlynn L. L. Thing, Roger Zimmermann, Bin Guo, Zhiwen Yu
FaceLivePlus: A Unified System for Face Liveness Detection and Face Verification. ICMR (2023)
Ayush Kumar, Vrizlynn L. L. Thing
RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation. PST (2023)
Randolph Loh, Vrizlynn L. L. Thing
Enhancing Cyber-Resilience in Self-Healing Cyber-Physical Systems with Implicit Guarantees. CoRR (2023)
Rahul Kale, Vrizlynn L. L. Thing
Few-shot weakly-supervised cybersecurity anomaly detection. Comput. Secur. 130 (2023)
Zihao Wang, Vrizlynn L. L. Thing
Feature Mining for Encrypted Malicious Traffic Detection with Deep Learning and Other Machine Learning Algorithms. CoRR (2023)
Zhi Lu, Vrizlynn L. L. Thing
PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection. CoRR (2022)
Zihao Wang, Fok Kar Wai, Vrizlynn L. L. Thing
Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study. Comput. Secur. 113 (2022)
Kar-Wai Fok, Vrizlynn L. L. Thing
Clustering based opcode graph generation for malware variant detection. CoRR (2022)
Randolph Loh, Vrizlynn L. L. Thing
Data Privacy in Multi-Cloud: An Enhanced Data Fragmentation Framework. CoRR (2022)
Vrizlynn L. L. Thing
IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning. CoRR (2022)
Zhi Lu, Vrizlynn L. L. Thing
"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Malware Detector. BigDataSecurity/HPSC/IDS (2022)
Vrizlynn L. L. Thing
IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning. Big Data (2022)
Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
Machine Learning for Encrypted Malicious Traffic Detection: Approaches, Datasets and Comparative Study. CoRR (2022)
Rahul Kale, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection. BigDataSecurity/HPSC/IDS (2022)
Jonathan W. Z. Lim, Vrizlynn L. L. Thing
Towards Effective Cybercrime Intervention. CoRR (2022)
Martin Kodys, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing
Intrusion Detection in Internet of Things using Convolutional Neural Networks. CoRR (2022)
Zhi Lu, Vrizlynn L. L. Thing
PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection. IoTBDS (2022)
Rahul Kale, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection. CoRR (2022)
Fok Kar Wai, Vrizlynn L. L. Thing
Clustering based opcode graph generation for malware variant detection. PST (2021)
Li Zhang, Vrizlynn L. L. Thing
Three decades of deception techniques in active cyber defense - Retrospect and outlook. Comput. Secur. 106 (2021)
Li Zhang, Vrizlynn L. L. Thing
Three Decades of Deception Techniques in Active Cyber Defense - Retrospect and Outlook. CoRR (2021)
Randolph Loh, Vrizlynn L. L. Thing
Data Privacy in Multi-Cloud: An Enhanced Data Fragmentation Framework. PST (2021)
Zhi Lu, Vrizlynn L. L. Thing
"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector. CoRR (2021)
Martin Kodys, Zhi Lu, Fok Kar Wai, Vrizlynn L. L. Thing
Intrusion Detection in Internet of Things using Convolutional Neural Networks. PST (2021)
Chee Cheun Huang, Chien Eao Lee, Vrizlynn L. L. Thing
A Novel Video Forgery Detection Model Based on Triangular Polarity Feature Classification. Int. J. Digit. Crime Forensics 12 (1) (2020)
Ying Zhang, Lilei Zheng, Yew Yi Lu, Vrizlynn L. L. Thing, Roger Zimmermann
Coverless Image Steganography Framework with Increased Payload Capacity. ISM (2019)
Li Zhang, Vrizlynn L. L. Thing, Yao Cheng
A scalable and extensible framework for android malware detection and family attribution. Comput. Secur. 80 (2019)
Lilei Zheng, Ying Zhang, Vrizlynn L. L. Thing
A survey on image tampering and its detection in real-world photos. J. Vis. Commun. Image Represent. 58 (2019)
Yao Cheng, Chang Xu, Daisuke Mashima, Vrizlynn L. L. Thing, Yongdong Wu
PowerNet: Neural Power Demand Forecasting in Smart Grid. CoRR (2019)
Le Su, Yao Cheng, Huasong Meng, Vrizlynn L. L. Thing, Zhe Wang, Linghe Kong, Long Cheng
Securing Intelligent Transportation System: A Blockchain-Based Approach with Attack Mitigation. SmartBlock (2019)
Chien Eao Lee, Lilei Zheng, Ying Zhang, Vrizlynn L. L. Thing, Ying Yu Chu
Towards Building a Remote Anti-spoofing Face Authentication System. TENCON (2018)
Fok Kar Wai, Lilei Zheng, Watt Kwong Wai, Le Su, Vrizlynn L. L. Thing
Automated Botnet Traffic Detection via Machine Learning. TENCON (2018)
Bing Shun Lim, Sye Loong Keoh, Vrizlynn L. L. Thing
Autonomous vehicle ultrasonic sensor vulnerability and impact assessment. WF-IoT (2018)
Ido Nevat, Dinil Mon Divakaran, Sai Ganesh Nagarajan, Pengfei Zhang, Le Su, Li Ling Ko, Vrizlynn L. L. Thing
Anomaly Detection and Attribution in Networks With Temporally Correlated Traffic. IEEE/ACM Trans. Netw. 26 (1) (2018)
Fok Kar Wai, Wee-Yong Lim, Dinil Mon Divakaran, Vrizlynn L. L. Thing
Predicting vulnerability discovery rate using past versions of a software. SOLI (2018)
Duc-Phong Le, Huasong Meng, Le Su, Sze Ling Yeo, Vrizlynn L. L. Thing
BIFF: A Blockchain-based IoT Forensics Framework with Identity Privacy. TENCON (2018)
Ying Zhang, Rohit Kumar Dubey, Guang Hua, Vrizlynn L. L. Thing
Face Spoofing Video Detection Using Spatio-Temporal Statistical Binary Pattern. TENCON (2018)
Le Su, Dinil Mon Divakaran, Vrizlynn L. L. Thing
Privacy preserving IP traceback. ISBA (2018)
Ying Zhang, Vrizlynn L. L. Thing
A semi-feature learning approach for tampered region localization across multi-format images. Multim. Tools Appl. 77 (19) (2018)
Huasong Meng, Vrizlynn L. L. Thing, Yao Cheng, Zhongmin Dai, Li Zhang
A survey of Android exploits in the wild. Comput. Secur. 76 (2018)
Li Zhang, Vrizlynn L. L. Thing
Assisting Vulnerability Detection by Prioritizing Crashes with Incremental Learning. TENCON (2018)
Li Zhang, Huasong Meng, Vrizlynn L. L. Thing
Progressive Control Flow Obfuscation for Android Applications. TENCON (2018)
Chien Eao Lee, Lilei Zheng, Ying Zhang, Vrizlynn L. L. Thing
Low-Dimensional Bigram Analysis for Mobile Data Fragment Classification. SG-CRC (2017)
Lilei Zheng, Ying Zhang, Chien Eao Lee, Vrizlynn L. L. Thing
Time-of-recording estimation for audio recordings. Digit. Investig. (2017)
Zhongmin Dai, Tong-Wei Chua, Dinesh Kumar Balakrishnan, Vrizlynn L. L. Thing
Chat-App Decryption Key Extraction Through Information Flow Analysis. SG-CRC (2017)
Dinil Mon Divakaran, Li Ling Ko, Le Su, Vrizlynn L. L. Thing
REX: Resilient and efficient data structure for tracking network flows. Comput. Networks 118 (2017)
Dinil Mon Divakaran, Fok Kar Wai, Ido Nevat, Vrizlynn L. L. Thing
Evidence gathering for network security and forensics. Digit. Investig. (2017)
Yao Cheng, Chang Xu, Daisuke Mashima, Vrizlynn L. L. Thing, Yongdong Wu
PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network. ADMA (2017)
Vrizlynn L. L. Thing
IEEE 802.11 Network Anomaly Detection and Attack Classification: A Deep Learning Approach. WCNC (2017)
Guang Hua, Guoan Bi, Vrizlynn L. L. Thing
On Practical Issues of Electric Network Frequency Based Audio Forensics. IEEE Access 5 (2017)
Jung-jae Kim, Yong Liu, Wee-Yong Lim, Vrizlynn L. L. Thing
An Empirical Study on Collective Online Behaviors of Extremist Supporters. ADMA (2017)
Victor Pomponiu, Vrizlynn L. L. Thing
A Deep Convolutional Neural Network for Anomalous Online Forum Incident Classification. SG-CRC (2017)
Long Cheng, Dinil Mon Divakaran, Aloysius Wooi Kiak Ang, Wee-Yong Lim, Vrizlynn L. L. Thing
FACT: A Framework for Authentication in Cloud-Based IP Traceback. IEEE Trans. Inf. Forensics Secur. 12 (3) (2017)
Li Ling Ko, Dinil Mon Divakaran, Yung Siang Liau, Vrizlynn L. L. Thing
Insider threat detection and its future directions. Int. J. Secur. Networks 12 (3) (2017)
Lilei Zheng, Ying Zhang, Vrizlynn L. L. Thing
Understanding multi-layer perceptrons on spatial image steganalysis features. APSIPA (2017)
Vivek Balachandran, Sufatrio, Darell J. J. Tan, Vrizlynn L. L. Thing
Control flow obfuscation for Android applications. Comput. Secur. 61 (2016)
Dinil Mon Divakaran, Yung Siang Liau, Vrizlynn L. L. Thing
Accurate in-network file-type classification. SG-CRC (2016)
Rohit Kumar Dubey, Jonathan Goh, Vrizlynn L. L. Thing
Fingerprint Liveness Detection From Single Image Using Low-Level Features and Shape Analysis. IEEE Trans. Inf. Forensics Secur. 11 (7) (2016)
Vrizlynn L. L. Thing, Jiaxi Wu
Autonomous Vehicle Security: A Taxonomy of Attacks and Defences. iThings/GreenCom/CPSCom/SmartData (2016)
Guang Hua, Jiwu Huang, Yun Q. Shi, Jonathan Goh, Vrizlynn L. L. Thing
Twenty years of digital audio watermarking - a comprehensive review. Signal Process. 128 (2016)
Long Cheng, Dinil Mon Divakaran, Wee-Yong Lim, Vrizlynn L. L. Thing
Opportunistic Piggyback Marking for IP Traceback. IEEE Trans. Inf. Forensics Secur. 11 (2) (2016)
Ying Zhang, Jonathan Goh, Lei Lei Win, Vrizlynn L. L. Thing
Image Region Forgery Detection: A Deep Learning Approach. SG-CRC (2016)
Guang Hua, Ying Zhang, Jonathan Goh, Vrizlynn L. L. Thing
Audio Authentication by Exploring the Absolute-Error-Map of ENF Signals. IEEE Trans. Inf. Forensics Secur. 11 (5) (2016)
Sufatrio, Tong-Wei Chua, Darell J. J. Tan, Vrizlynn L. L. Thing
Accurate Specification for Robust Detection of Malicious Behavior in Mobile Environments. ESORICS (2) (2015)
Dinil Mon Divakaran, Le Su, Yung Siang Liau, Vrizlynn L. L. Thing
SLIC: Self-Learning Intelligent Classifier for network traffic. Comput. Networks 91 (2015)
Guang Hua, Jonathan Goh, Vrizlynn L. L. Thing
Cepstral Analysis for the Application of Echo-Based Audio Watermark Detection. IEEE Trans. Inf. Forensics Secur. 10 (9) (2015)
Guang Hua, Jonathan Goh, Vrizlynn L. L. Thing
Time-Spread Echo-Based Audio Watermarking With Optimized Imperceptibility and Robustness. IEEE ACM Trans. Audio Speech Lang. Process. 23 (2) (2015)
Jonathan Goh, Vrizlynn L. L. Thing
A hybrid evolutionary algorithm for feature and ensemble selection in image tampering detection. Int. J. Electron. Secur. Digit. Forensics 7 (1) (2015)
Sufatrio, Darell J. J. Tan, Tong-Wei Chua, Vrizlynn L. L. Thing
Securing Android: A Survey, Taxonomy, and Challenges. ACM Comput. Surv. 47 (4) (2015)
Guang Hua, Jonathan Goh, Vrizlynn L. L. Thing
A Dynamic Matching Algorithm for Audio Timestamp Identification Using the ENF Criterion. IEEE Trans. Inf. Forensics Secur. 9 (7) (2014)
Wee-Yong Lim, Amit Sachan, Vrizlynn L. L. Thing
Conditional Weighted Transaction Aggregation for Credit Card Fraud Detection. IFIP Int. Conf. Digital Forensics (2014)
Vrizlynn L. L. Thing, Zheng Leong Chua
Smartphone Volatile Memory Acquisition for Security Analysis and Forensics Investigation. SEC (2013)
Yu Chen, Vrizlynn L. L. Thing
Image content analysis for sector-wise JPEG fragment classification. J. Vis. Commun. Image Represent. 24 (7) (2013)
Wee-Yong Lim, Jonathan Goh, Vrizlynn L. L. Thing
Content-centric Age and Gender Profiling Notebook for PAN at CLEF 2013. CLEF (Working Notes) (2013)
Wee-Yong Lim, Amit Sachan, Vrizlynn L. L. Thing
A Lightweight Algorithm for Automated Forum Information Processing. Web Intelligence (2013)
Vrizlynn L. L. Thing, Yu Chen, Carmen Cheh
An Improved Double Compression Detection Method for JPEG Image Forensics. ISM (2012)
Vrizlynn L. L. Thing, Hwei-Ming Ying
Enhanced Dictionary Based Rainbow Table. SEC (2012)
Vrizlynn L. L. Thing, Darell J. J. Tan
Symbian Smartphone Forensics and Security: Recovery of Privacy-Protected Deleted Data. ICICS (2012)
Yu Chen, Vrizlynn L. L. Thing
Using Low Level Gradient Channels for Computationally Efficient Object Detection and Its Application in Logo Detection. ISM (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vrizlynn L. L. Thing