Detection of Syn Flooding Attacks using Linear Prediction Analysis. - Dinil Mon Divakaran; Hema A. Murthy; Timothy A. Gonsalves (ICON, 2006)

Traffic Modeling and Classification Using Packet Train Length and Packet Train Size. - Dinil Mon Divakaran; Hema A. Murthy; Timothy A. Gonsalves (IPOM, 2006)

Equilibrium in Size-Based Scheduling Systems. - Sebastien Soudan; Dinil Mon Divakaran; Eitan Altman; Pascale Vicat-Blanc Primet (ASMTA, 2009)

Analysis of the Effects of XLFrames in a Network. - Dinil Mon Divakaran; Eitan Altman; Georg Post; Ludovic Noirie; Pascale Vicat-Blanc Primet (Networking, 2009)

A virtual switch architecture for hosting virtual networks on the Internet. - Fabienne Anhalt; Dinil Mon Divakaran; Pascale Vicat-Blanc Primet (HPSR, 2010)

Size-based flow scheduling in a CICQ switch. - Dinil Mon Divakaran; Fabienne Anhalt; Eitan Altman; Pascale Vicat-Blanc Primet (HPSR, 2010)

A Flow Scheduler Architecture. - Dinil Mon Divakaran; Giovanna Carofiglio; Eitan Altman; Pascale Vicat-Blanc Primet (Networking, 2010)

Taking rural BPO to new heights: An ACM for distributed and secure document sharing. - Reena Singh; Dinil Mon Divakaran; Timothy A. Gonsalves (IEEE ANTS, 2011)

Size-Based Flow-Scheduling Using Spike-Detection. - Dinil Mon Divakaran; Eitan Altman; Pascale Vicat-Blanc Primet (ASMTA, 2011)

Using spikes to deal with elephants. - Dinil Mon Divakaran (IPCCC, 2011)

An integrated resource allocation scheme for multi-tenant data-center. - Mohan Gurusamy; Tho Ngoc Le; Dinil Mon Divakaran (LCN, 2012)

TCP Initial Window: A Study. - Runa Barik; Dinil Mon Divakaran (WWIC, 2012)

A spike-detecting AQM to deal with elephants. - Dinil Mon Divakaran (Comput. Networks, 2012)

Probabilistic-bandwidth guarantees with pricing in data-center networks. - Dinil Mon Divakaran; Mohan Gurusamy (ICC, 2013)

Performance study of TCP flows with QoS-supported OpenFlow in data center networks. - Purnima Murali Mohan; Dinil Mon Divakaran; Mohan Gurusamy (ICON, 2013)

Evolution of TCP's initial window size. - Runa Barik; Dinil Mon Divakaran (LCN, 2013)

Virtual Network Embedding in Hybrid Datacenters with Dynamic Wavelength Grouping. - Raksha Srinivas; Soumya Hegde; Dinil Mon Divakaran; Mohan Gurusamy (CloudCom, 2014)

Uniform price auction for allocation of dynamic cloud bandwidth. - Wee Kim Tan; Dinil Mon Divakaran; Mohan Gurusamy (ICC, 2014)

Dynamic embedding of virtual networks in hybrid optical-electrical datacenters. - Soumya Hegde; Raksha Srinivas; Dinil Mon Divakaran; Mohan Gurusamy (ICCCN, 2014)

Development and experimentation of TCP initial window function. - Runa Barik; Dinil Mon Divakaran (NOF, 2014)

Bandwidth allocation with differential pricing for flexible demands in data center networks. - Dinil Mon Divakaran; Mohan Gurusamy; Mathumitha Sellamuthu (Comput. Networks, 2014)

An Online Integrated Resource Allocator for Guaranteed Performance in Data Centers. - Dinil Mon Divakaran; Tho Ngoc Le; Mohan Gurusamy (IEEE Trans. Parallel Distributed Syst., 2014)

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

Dynamic resource allocation in hybrid optical-electrical datacenter networks. - Dinil Mon Divakaran; Soumya Hegde; Raksha Srinivas; Mohan Gurusamy (Comput. Commun., 2015)

Towards Flexible Guarantees in Clouds: Adaptive Bandwidth Allocation and Pricing. - Dinil Mon Divakaran; Mohan Gurusamy (IEEE Trans. Parallel Distributed Syst., 2015)

Proportional bandwidth sharing using Bayesian inference in SDN-based data centers. - Purnima Murali Mohan; Dinil Mon Divakaran; Mohan Gurusamy (ICC, 2016)

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

Analysis of Privacy Leak on Twitter. - Leena Deodhar; Dinil Mon Divakaran; Mohan Gurusamy (GLOBECOM, 2017)

Characterizing the effects of TCP's initial window. - Runa Barik; Dinil Mon Divakaran; Michael Welzl (INFOCOM Workshops, 2017)

Dynamic attack mitigation using SDN. - Sharon Ezekiel; Dinil Mon Divakaran; Mohan Gurusamy (ITNAC, 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)

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)

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)

GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. - Quoc Phong Nguyen; Kar Wai Lim; Dinil Mon Divakaran; Kian Hsiang Low; Mun Choon Chan (CNS, 2019)

A feature-ranking framework for IoT device classification. - Bharat Atul Desai; Dinil Mon Divakaran; Ido Nevat; Gareth W. Peters; Mohan Gurusamy (COMSNETS, 2019)

Tuple space explosion: a denial-of-service attack against a software packet classifier. - Levente Csikor; Dinil Mon Divakaran; Min Suk Kang; Attila Korösi; Balázs Sonkoly; Dávid Haja; Dimitrios P. Pezaros; Stefan Schmid 001; Gábor Rétvári (CoNEXT, 2019)

DEFT: A Distributed IoT Fingerprinting Technique. - Vijayanand Thangavelu; Dinil Mon Divakaran; Rishi Sairam; Suman Sankar Bhunia; Mohan Gurusamy (IEEE Internet Things J., 2019)

DIDA: Distributed In-Network Defense Architecture Against Amplified Reflection DDoS Attacks. - Xin Zhe Khooi; Levente Csikor; Dinil Mon Divakaran; Min Suk Kang (NetSoft, 2020)

In-network defense against AR-DDoS attacks. - Xin Zhe Khooi; Levente Csikor; Min Suk Kang; Dinil Mon Divakaran (SIGCOMM Posters and Demos, 2020)

Towards in-network time-decaying aggregates for heavy-hitter detection. - Xin Zhe Khooi; Levente Csikor; Min Suk Kang; Dinil Mon Divakaran (SIGCOMM Posters and Demos, 2020)

On the Feasibility and Enhancement of the Tuple Space Explosion Attack against Open vSwitch. - Levente Csikor; Vipul Ujawane; Dinil Mon Divakaran (CoRR, 2020)

DiffPerf: Towards Performance Differentiation and Optimization with SDN Implementation. - Walid A. Y. Aljoby; Xin Wang 040; Dinil Mon Divakaran; Tom Z. J. Fu; Richard T. B. Ma (CoRR, 2020)

Privacy of DNS-over-HTTPS: Requiem for a Dream? - Levente Csikor; Himanshu Singh; Min Suk Kang; Dinil Mon Divakaran (EuroS&P, 2021)

D-Fence: A Flexible, Efficient, and Comprehensive Phishing Email Detection System. - Jehyun Lee; Farren Tang; Pingxiao Ye; Fahim Abbasi; Phil Hay; Dinil Mon Divakaran (EuroS&P, 2021)

DiffPerf: An In-Network Performance Optimization for Improving User-Perceived QoE. - Walid A. Y. Aljoby; Xin Wang 040; Dinil Mon Divakaran; Tom Z. J. Fu; Richard T. B. Ma (NetSoft, 2021)

In-Network Applications: Beyond Single Switch Pipelines. - Xin Zhe Khooi; Levente Csikor; Jialin Li 001; Dinil Mon Divakaran (NetSoft, 2021)

Revisiting Heavy-Hitter Detection on Commodity Programmable Switches. - Xin Zhe Khooi; Levente Csikor; Jialin Li 001; Min Suk Kang; Dinil Mon Divakaran (NetSoft, 2021)

Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages. - Yun Lin 001; Ruofan Liu; Dinil Mon Divakaran; Jun Yang Ng; Qing Zhou Chan; Yiwen Lu; Yuxuan Si; Fan Zhang; Jin Song Dong 001 (USENIX Security Symposium, 2021)

A Survey of Privacy-Preserving Techniques for Encrypted Traffic Inspection over Network Middleboxes. - Geong Sen Poh; Dinil Mon Divakaran; Hoon Wei Lim; Jianting Ning; Achintya Desai (CoRR, 2021)

Cost-Aware Feature Selection for IoT Device Classification. - Biswadeep Chakraborty; Dinil Mon Divakaran; Ido Nevat; Gareth W. Peters; Mohan Gurusamy (IEEE Internet Things J., 2021)

ADEPT: Detection and Identification of Correlated Attack Stages in IoT Networks. - Kushan Sudheera Kalupahana Liyanage; Dinil Mon Divakaran; Rhishi Pratap Singh; Mohan Gurusamy (IEEE Internet Things J., 2021)

Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten. - Quoc Phong Nguyen; Ryutaro Oikawa; Dinil Mon Divakaran; Mun Choon Chan; Bryan Kian Hsiang Low (AsiaCCS, 2022)

Inferring Autoscale Information from NFV MANO for Launching Attacks - An Experimental Study with Cloudified 5G. - P. C. Amogh; Dinil Mon Divakaran; Mohan Gurusamy (CIoT, 2022)

SIERRA: Ranking Anomalous Activities in Enterprise Networks. - Jehyun Lee; Farren Tang; Phyo May Thet; Desmond Yeoh; Mitch Rybczynski; Dinil Mon Divakaran (EuroS&P, 2022)

A Step Towards On-Path Security Function Outsourcing. - Jehyun Lee; Min Suk Kang; Dinil Mon Divakaran; Phyo May Thet; Videet Singhai; Jun Seung You (ICDCN, 2022)

APEX: Characterizing Attack Behaviors from Network Anomalies. - Kushan Sudheera Kalupahana Liyanage; Zixu Tian; Dinil Mon Divakaran; Mun Choon Chan; Mohan Gurusamy (IPCCC, 2022)

Revisiting Application Offloads on Programmable Switches. - Cha Hwan Song; Xin Zhe Khooi; Dinil Mon Divakaran; Mun Choon Chan (IFIP Networking, 2022)

NFT-Merit: An NFT-based Module Credit Management System on Ethereum Blockchain. - Purnima Murali Mohan; Vivek Balachandran; Ong Ze Quan; Jas Pang Ze Xin; Dinil Mon Divakaran (TALE, 2022)

Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach. - Ruofan Liu; Yun Lin 001; Xianglin Yang; Siang Hwee Ng; Dinil Mon Divakaran; Jin Song Dong 001 (USENIX Security Symposium, 2022)

Phishing Detection Leveraging Machine Learning and Deep Learning: A Review. - Dinil Mon Divakaran; Adam Oest (IEEE Secur. Priv., 2022)

NSS Mirai Dataset. - Kushan Sudheera Kalupahana Liyanage; Dinil Mon Divakaran; Rhishi Pratap Singh; Mohan Gurusamy (IEEE DataPort, 2022)

Attacking Logo-Based Phishing Website Detectors with Adversarial Perturbations. - Jehyun Lee; Zhe Xin; Melanie Ng Pei See; Kanav Sabharwal; Giovanni Apruzzese; Dinil Mon Divakaran (ESORICS (3), 2023)

The Evolution of DNS Security and Privacy. - Levente Csikor; Dinil Mon Divakaran (CoRR, 2023)

DySO: Enhancing application offload efficiency on programmable switches. - Cha Hwan Song; Xin Zhe Khooi; Dinil Mon Divakaran; Mun Choon Chan (Comput. Networks, 2023)

iPET: Privacy Enhancing Traffic Perturbations for Secure IoT Communications. - Akshaye Shenoi; Prasanna Karthik Vairam; Kanav Sabharwal; Jialin Li; Dinil Mon Divakaran (Proc. Priv. Enhancing Technol., 2023)

IoTell: A Privacy-Preserving Protocol for Large-scale Monitoring of IoT Security Status. - Yongwoo Oh; Michael Yiqing Hu; Xin Zhe Khooi; Jehyun Lee; Dinil Mon Divakaran; Min Suk Kang (CCGridW, 2024)

Mitigating Bias in Machine Learning Models for Phishing Webpage Detection. - Aditya Kulkarni; Vivek Balachandran; Dinil Mon Divakaran; Tamal Das (COMSNETS, 2024)

EAGLEEYE: Attention to Unveil Malicious Event Sequences From Provenance Graphs. - Philipp Gysel; Candid Wüest; Kenneth Nwafor; Otakar Jasek; Andrey Ustyuzhanin; Dinil Mon Divakaran (eCrime, 2024)

Multimodal Large Language Models for Phishing Webpage Detection and Identification. - Jehyun Lee; Peiyuan Lim; Bryan Hooi; Dinil Mon Divakaran (eCrime, 2024)

ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification. - Binghui Wu; Philipp Gysel; Dinil Mon Divakaran; Mohan Gurusamy (NOMS, 2024)

Enhancing LoRa Reception with Generative Models: Channel-Aware Denoising of LoRaPHY Signals. - Kanav Sabharwal; Soundarya Ramesh; Jingxian Wang; Dinil Mon Divakaran; Mun Choon Chan (SenSys, 2024)

LLMs for Cyber Security: New Opportunities. - Dinil Mon Divakaran; Sai Teja Peddinti (CoRR, 2024)

From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks. - Aditya Kulkarni; Vivek Balachandran; Dinil Mon Divakaran; Tamal Das (CoRR, 2024)

DiffPerf: Toward Performance Differentiation and Optimization With SDN Implementation. - Walid A. Aljoby; Xin Wang 040; Dinil Mon Divakaran; Tom Z. J. Fu; Richard T. B. Ma; Khaled A. Harras (IEEE Trans. Netw. Serv. Manag., 2024)

Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories. - Alperen Yildiz; Sin G. Teo; Yiling Lou; Yebo Feng; Chong Wang 013; Dinil Mon Divakaran (ACL (1), 2025)

ProvDP: Differential Privacy for System Provenance Dataset. - Kunal Mukherjee; Jonathan Yu; Partha De; Dinil Mon Divakaran (ACNS (3), 2025)

UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security. - Binghui Wu; Dinil Mon Divakaran; Mohan Gurusamy (CoRR, 2025)

Traffic Modeling for Network Security and Privacy: Challenges Ahead. - Dinil Mon Divakaran (CoRR, 2025)

ThinkEval: Practical Evaluation of Knowledge Preservation and Consistency in LLM Editing with Thought-based Knowledge Graphs. - Manit Baser; Dinil Mon Divakaran; Mohan Gurusamy (CoRR, 2025)

Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models. - Yash Sinha; Manit Baser; Murari Mandal; Dinil Mon Divakaran; Mohan S. Kankanhalli (CoRR, 2025)

From ML to LLM: Evaluating the Robustness of Phishing Web Page Detection Models against Adversarial Attacks. - Aditya Kulkarni; Vivek Balachandran; Dinil Mon Divakaran; Tamal Das (Digit. Threat. Res. Pract., 2025)