Dinil Mon Divakaran - Publications

2025

Levente Csikor, Ziyue Lian, Haoran Zhang, Nitya Lakshmanan and Dinil Mon Divakaran, “DNS-over-QUIC and HTTP/3 in the Era of Transformers: The New Internet Privacy Battle,” IEEE Communications Magazine, 2025.
Kunal Mukherjee, Jonathan Yu, Partha De and Dinil Mon Divakaran, “ProvDP: Differential Privacy for System Provenance Dataset,” ACNS 2025.

2024

Dinil Mon Divakaran and Sai Teja Peddinti, “LLMs for Cyber Security: New Opportunities,” IEEE Security & Privacy, 2024 [PDF].
Kanav Sabharwal, Soundarya Ramesh, Jingxian Wang, Dinil Mon Divakaran, and Mun Choon Chan, “Enhancing LoRa Reception with Generative Models: Channel-Aware Denoising of LoRaPHY Signals,” ACM SenSys, 2024 [GitHub][PDF].
Jehyun Lee, Peiyuan Lim, Bryan Hooi, and Dinil Mon Divakaran, “Multimodal Large Language Models for Phishing Webpage Detection and Identification,” in eCrime (Symposium on Electronic Crime Research), 2024 [GitHub][PDF].

Philipp Gysel, Candid Wüest, Kenneth Nwafor, Otakar Jašek, Andrey Ustyuzhanin, and Dinil Mon Divakaran, “EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs,” in eCrime (Symposium on Electronic Crime Research), 2024 [GitHub][PDF].

Binghui Wu, Philipp Gysel, Dinil Mon Divakaran, and Mohan Gurusamy. “ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification," IEEE NOMS, 2024 [GitHub][PDF].
Walid Aljoby, Xin Wang, Dinil Mon Divakaran, Tom Z. J. Fu, Ricahrd T. B. Ma and Khaled A. Harras, “DiffPerf: Toward Performance Differentiation and Optimization With SDN Implementation," in IEEE Transactions on Network and Service Management, vol. 21, no. 1, pp. 1012-1031, Feb. 2024.

2023

Jehyun Lee, Zhe Xin, Melanie Ng Pei See, Kanav Sabharwal, Giovanni Apruzzesel and Dinil Mon Divakaran, “Attacking logo-based phishing website detectors with adversarial perturbations,” ESORICS, 2023 [GitHub][PDF].
Akshaye Shenoi, Prasanna Karthik, Kanav Sabharwal, Li Jialin, and Dinil Mon Divakaran, “iPET: Privacy Enhancing Traffic Perturbations for Secure IoT Communications,” in PETS (Privacy Enhancing Technologies Symposium), 2023 [GitHub][PDF].
Cha Hwan Song, Xin Zhe Khooi, Dinil Mon Divakaran, Mun Choon Chan, “DySO: Enhancing application offload efficiency on programmable switches," Comput. Networks, 2023 (open access).

2022

Dinil Mon Divakaran and Adam Oest, “Phishing detection leveraging machine learning and deep learning: A review,” IEEE Security and Privacy, 2022 [PDF].
Ruofan Liu, Yun Lin, X. Yang, S. H. Ng, Dinil Mon Divakaran, and Jin Song Dong, “Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach,” in USENIX Security Symposium, 2022 [Dataset] [PDF].

Jehyun Lee, Farren Tang, Phyo May Thet, Desmond Yeoh, Mitch Rybczynski, and Dinil Mon Divakaran, “SIERRA: Ranking Anomalous Activities in Enterprise Networks,” in IEEE European Symposium on Security and Privacy (IEEE EuroS&P), 2022 [PDF]..

Quoc Phong Nguyen, Ryutaro Oikawa, Dinil Mon Divakaran, Kian Hsiang Low, and Mun Choon Chan, “Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten,” in 17th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS), 2022 [Demonstrates unlearning of noises on phishing dataset][PDF].

Cha Hwan Song, Xin Zhe Khooi, Dinil Mon Divakaran and Mun Choon Chan, “Revisiting Application Offloads on Programmable Switches,” IFIP Networking 2022.
Jehyun Lee, Min Suk Kang, Dinil Mon Divakaran, Phyo May Thet, Videet Singhai, and Jun Seung You, “A Step Towards On-Path Security Function Outsourcing,” 23rd International Conference on Distributed Computing and Networking (ICDCN), 2022 [PDF].
K. S. K. Liyanage, Z. Tian, D. M. Divakaran, M. C. Chan and M. Gurusamy, “APEX: Characterizing Attack Behaviors from Network Anomalies,” IEEE International Performance, Computing, and Communications Conference (IPCCC), 2022 [PDF].
Purnima Murali Mohan, Vivek Balachandran, Ong Ze Quan, Jas Pang Ze Xin and Dinil Mon Divakaran, “NFT-Merit: An NFT-based Module Credit Management System on Ethereum Blockchain,” at IEEE TALE (IEEE International Conference on Teaching, Assessment, and Learning for Engineering), 2022.

2021

Levente Csikor, Himanshu Singh, Min Suk Kang, and Dinil Mon Divakaran, “Privacy of DNS-over-HTTPS: Requiem for a Dream?,” in IEEE European Symposium on Security and Privacy (IEEE EuroS&P), 2021 [GitHub] [PDF].
Jehyun Lee, Farren Tang, Pingxiao Ye, Fahim Abbasi, Phil Hay, and Dinil Mon Divakaran, “D-Fence: A Flexible, Efficient, and Comprehensive Phishing Email Detection System,” in IEEE European Symposium on Security and Privacy (IEEE EuroS&P), 2021 [PDF].
Yun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng, Qing Zhou Chan, Yiwen Lu, Yuxuan Si, Fan Zhang, and Jin Song Dong, “Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages,” in USENIX Security Symposium, 2021 [Dataset] [PDF].
Xin Zhe Khooi, Levente Csikor, Jialin Li, Min Suk Kang, and Dinil Mon Divakaran, “Revisiting Heavy-Hitter Detection on Commodity Programmable Switches,” in IEEE International Conference on Network Softwarization (NetSoft), June 2021 [GitHub] [PDF][video].
Walid Aljoby, Xin Wang, Dinil Mon Divakaran, Tom Z. J. Fu, and Richard T. B. Ma, “DiffPerf: An In-Network Performance Optimization for Improving User-Perceived QoE,” in IEEE International Conference on Network Softwarization (NetSoft), June 2021 [PDF] [Link to extended version].
Xin Zhe Khooi, Levente Csikor, Jialin Li, and Dinil Mon Divakaran, “In-network Applications: Beyond Single Switch Pipelines,” in IEEE International Conference on Network Softwarization (NetSoft), June 2021 [PDF][video].
Biswadeep Chakraborty, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, and Mohan Gurusamy, “Cost-aware Feature Selection for IoT Device Classification,” IEEE Internet of Things Journal, 2021 [Dataset] [PDF].
Kushan S. K. Liyanage, Dinil Mon Divakaran, Rhishi Pratap Singh, and Mohan Gurusamy, “ADEPT: Detection and Identification of Correlated Attack-Stages in IoT Networks,” IEEE Internet of Things Journal, 2021 [Dataset] [PDF].

2020

Xin Zhe Khooi, Levente Csikor, Min Suk Kang, and Dinil Mon Divakaran, “In-Network Defense Against AR-DDoS Attacks,” in Proc. the ACM SIGCOMM 2020 Conference on Posters and Demos, 2020.
Xin Zhe Khooi, Levente Csikor, Min Suk Kang, and Dinil Mon Divakaran, “Towards in-network time-decaying aggregates for heavy-hitter detection,” in Proc. the ACM SIGCOMM 2020 Conference on Posters and Demos, 2020.
Xin Zhe Khooi, Levente Csikor, Dinil Mon Divakaran, and Min Suk Kang, “DIDA: distributed In-Network defense architecture against amplified reflection DDoS attacks,” in 6th IEEE International Conference on Network Softwarization (NetSoft 2020), June 2020 [PDF].
Le Su, Dinil Mon Divakaran, Sze Ling Yeo, Jiqiang Lu, and Vrizlynn L. L. Thing, “IoT Security Function Distribution via DLT,” in NDSS DISS (Decentralized IoT Systems and Security), Feb. 2020 [PDF].
Dinil Mon Divakaran, Rhishi Pratap Singh, Kushan S. K. Liyanage, Mohan Gurusamy, and Vinay Sachidananda, “ADROIT: Detecting Spatio-Temporal Correlated Attack-Stages in IoT Networks,” in NDSS DISS (Decentralized IoT Systems and Security), Feb. 2020 [PDF].
Jehyun Lee, Pingxiao Ye, Ruofan Liu, Dinil Mon Divakaran, and Chan Mun Choon, “Building robust phishing detection system: an empirical analysis,” in NDSS MADWeb (Workshop on Measurements, Attacks, and Defenses for the Web), Feb. 2020 [Dataset] [PDF].

2019

Levente Csikor, Dinil Mon Divakaran, Min Suk Kang, Attila Korosi, Balázs Sonkoly, David Haja, Dimitrios Pezaros, Stefan Schmid, and Gábor Rétvári, “Tuple Space Explosion: A Denial-of-Service Attack Against a Software Packet Classifier,” in ACM CoNEXT, Dec. 2019 [PDF]. For details on the work, visit our project website.
Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, and Mun Choon Chan, “GEE: a gradient-based explainable variational autoencoder for network anomaly detection,” in IEEE CNS, June 2019 [PDF].
Vijayanand Thangavelu, Dinil Mon Divakaran, Rishi Sairam, Suman Sankar Bhunia, and Mohan Gurusamy, “DEFT: A Distributed IoT Fingerprinting Technique,” IEEE Internet of Things Journal, vol. 6, no. 1, pp. 940–952, Feb 2019 [Dataset] [PDF].
Bharat Atul Desai, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, and Mohan Gurusamy, “A feature-ranking framework for IoT device classification,” in 11th International Conference on Communication Systems & Networks (COMSNETS 2019), Jan. 2019 [PDF].

2018

Ido Nevat, Dinil Mon Divakaran, Sai Ganesh Nagarajan, Pengfei Zhang, Su Le, Ko Li Ling, and Vrizlynn Thing, “Anomaly Detection and Attribution in Networks with Temporally Correlated Traffic,” IEEE/ACM Transactions on Networking, 2018 [PDF].
Le Su, Dinil Mon Divakaran, and Vrizlynn L. L. Thing, “Privacy Preserving IP Traceback,” in IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Jan. 2018.

2017

Dinil Mon Divakaran, Fok Kar Wai, Ido Nevat, and Vrizlynn Thing, “Evidence Gathering for Network Security and Forensics,” in Digital Investigation, vol. 20, Supplement, pp. S56 – S65, 2017, DOI: 10.1016/j.diin.2017.02.001 (open access). Note: also presented at DFRWS (Digital Forensic Research Workshop) 2017.
Dinil Mon Divakaran, Ko Li Ling, Le Su, and Vrizlynn Thing, “REX: Resilient and Efficient Data Structure for Tracking Network Flows,” Computer Networks, vol. 118, pp. 37–53, 2017, DOI: 10.1016/j.comnet.2017.03.004.
Long Cheng, Dinil Mon Divakaran, Aloysius Wooi Kiak Ang, Lim Wee Yong, and Vrizlynn Thing, “FACT: A Framework for Authentication in Cloud-based IP Traceback,” IEEE Transactions on Information Forensics & Security (TIFS), vol. 12, no. 3, pp. 604–616, 2017, DOI: 10.1109/TIFS.2016.2624741.
Leena Deodhar, Dinil Mon Divakaran, and Mohan Gurusamy, “Analysis of privacy leak on Twitter,” in IEEE Globecom, Dec. 2017.
Sharon Ezekiel, Dinil Mon Divakaran, and Mohan Gurusamy, “Dynamic attack mitigation using SDN,” in 27th Int'l Telecommunication Networks and Applications Conference (ITNAC), Nov. 2017.
Runa Barik, Dinil Mon Divakaran, and Michael Welzl, “Characterizing the effects of TCP’s initial window,” in GI 2017: 20th IEEE Global Internet Symposium (INFOCOM’17 Workshop), May 2017.
Li Ling Ko, Dinil Mon Divakaran, Yung Siang Liau, and Vrizlynn L. L. Thing, “Insider Threat Detection and its Future Directions,” Int'l Journal of Security and Networks, 2017, DOI: 10.1504/IJSN.2017.10005217.
James Wee Jing Tan, Wee Yong Lim, Dinil Mon Divakaran, and Vrizlynn L. L. Thing, “Augmenting MulVAL with Automated Extraction of Vulnerabilities Descriptions,” in IEEE Region 10 Conference (TENCON 2017), Nov. 2017.

2016

Long Cheng, Dinil Mon Divakaran, Lim Wee Yong, and Vrizlynn Thing, “Opportunistic Piggyback Marking for IP Traceback,” IEEE Transactions on Information Forensics & Security (TIFS), vol. 11, no. 2, pp. 273–288, 2016, DOI: 10.1109/TIFS.2015.2491299.
Purnima Murali Mohan, Dinil Mon Divakaran, and Mohan Gurusamy, “Proportional Bandwidth Sharing Using Bayesian Inference in SDN-based Data Centers,” in IEEE ICC 2016, May 2016.
Dinil Mon Divakaran, Yung Siang Liau, and Vrizlynn L. L. Thing, “Accurate in-network file-type classification,” in Proc. Inaugural Singapore Cyber Security R&D Conference, pp. 139 - 146, Jan. 2016 (open access).

2015

Dinil Mon Divakaran, Le Su, Yung Siang Liau, and Vrizlynn L. L. Thing, “SLIC: Self-Learning Intelligent Classifier for Network Traffic,” Computer Networks, vol. 91, pp. 283–297, 2015, DOI: 10.1016/j.comnet.2015.08.021.
Dinil Mon Divakaran, Soumya Hegde, Raksha Srinivas, and Mohan Gurusamy, “Dynamic Resource Allocation in Hybrid Optical-Electrical Datacenter Networks,” Computer Communications, vol. 69, pp. 40-49, 2015, DOI: 10.1016/j.comcom.2015.07.008.
Dinil Mon Divakaran and Mohan Gurusamy, “Towards Flexible Guarantees in Clouds: Adaptive Bandwidth Allocation and Pricing,” IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 26, no. 6, pp. 1754–1764, 2015. DOI: 10.1109/TPDS.2014.2325044.

2014

Dinil Mon Divakaran, Mohan Gurusamy, and Mathumitha Sellamuthu, “Bandwidth Allocation with Differential Pricing for Flexible Demands in Data Center Networks,” Computer Networks, vol. 73, pp. 84–97, 2014, DOI: 10.1016/j.comnet.2014.08.005.
Dinil Mon Divakaran, Tho N. Le, and Mohan Gurusamy, “An online integrated resource allocator for guaranteed performance in data centers,” IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 25, no. 6, pp. 1382–1392, June 2014, DOI: 10.1109/TPDS.2013.212.
Wee Kim Tan, Dinil Mon Divakaran, and Mohan Gurusamy, “Uniform Price Auction for Allocation of Dynamic Cloud Bandwidth,” in IEEE ICC ’14, June 2014.
Raksha Srinivas, Soumya Hegde, Dinil Mon Divakaran, and Mohan Gurusamy, “Virtual Network Embedding in Hybrid Datacenters with Dynamic Wavelength Grouping,” in 6th IEEE Int'l Conf. on Cloud Computing Technology and Science (CloudCom ’14), 2014, pp. 905–910.
Runa Barik and Dinil Mon Divakaran, “Development and Experimentation of TCP Initial Window Function,” in 5th Int'l Conf. on the Network of the Future (NoF’14), Dec. 2014.
Soumya Hegde, Raksha Srinivas, Dinil Mon Divakaran, and Mohan Gurusamy, “Dynamic Embedding of Virtual Networks in Hybrid Optical-Electrical Datacenters,” in 23rd Int'l Conf. on Computer Communications and Networks (ICCCN), Aug. 2014.

2013

Purnima Murali Mohan, Dinil Mon Divakaran, and Mohan Gurusamy, “Performance study of TCP flows with QoS-supported OpenFlow in Data Center networks,” in 19th IEEE Int'l Conf. on Networks (ICON 2013), Dec. 2013.
Runa Barik and Dinil Mon Divakaran, “Evolution of TCP’s initial window size,” in 38th Annual IEEE Conf. on Local Computer Networks (LCN 2013), Oct. 2013.
Dinil Mon Divakaran and Mohan Gurusamy, “Probabilistic-Bandwidth Guarantees with Pricing in Data-Center networks,” in IEEE ICC, Jun. 2013.

2012

Dinil Mon Divakaran, “A Spike-Detecting AQM to deal with Elephants,” Computer Networks, vol. 56, no. 13, pp. 3087–3098, 2012.
Mohan Gurusamy, Tho Le, and Dinil Mon Divakaran, “An integrated resource allocation scheme for Multi-Tenant data-center," In 37th Annual IEEE Conf. on Local Computer Networks (LCN 2012), Oct. 2012.
Runa Barik and Dinil Mon Divakaran, “TCP Initial Window: A Study,” in 10th IFIP Int'l Conf. on Wired / Wireless Internet Communications (WWIC 2012), June 2012 (link).

2011

Reena Singh, Dinil Mon Divakaran, and Timothy A. Gonsalves, “Taking Rural BPO to New Heights: An ACM for Distributed and Secure Document Sharing,” in Fifth IEEE Int'l Conf. on Advanced Networks and Telecom. Systems (IEEE ANTS 2011), Dec. 2011.
Dinil Mon Divakaran, “Using Spikes to Deal with Elephants,” in IPCCC 2011, 30th IEEE Int'l Performance Computing and Comm. Conf., Nov. 2011.
Dinil Mon Divakaran, Eitan Altman, and Pascale Vicat-Blanc Primet, “Size-Based Flow-Scheduling Using Spike-Detection,” in ASMTA 2011: Proc. 18th Int'l Conf. on Analytical and Stochastic Modeling Techniques and Applications, vol. 6751 of Lecture Notes in Computer Science, pp. 331–345, 2011.

2010 and older

Fabienne Anhalt, Dinil Mon Divakaran, and Pascale Vicat-Blanc Primet, “A Virtual Switch Architecture for Hosting Virtual Networks on the Internet,” in 11th IEEE Int'l Conf. on High Performance Switching and Routing (HPSR 2010), June 2010.
Dinil Mon Divakaran, Fabienne Anhalt, Eitan Altman, and Pascale Vicat-Blanc Primet, “Size-Based Flow Scheduling in a CICQ Switch,” in 11th IEEE Int'l Conf. on High Performance Switching and Routing (HPSR 2010), June 2010.
Dinil Mon Divakaran, Giovanna Carofiglio, Eitan Altman, and Pascale Primet, “A flow scheduler architecture,” in IFIP NETWORKING 2010 (link).
Sebastien Soudan, Dinil Mon Divakaran, Eitan Altman, and Pascale Primet, “Equilibrium in size-based scheduling systems,” in ASMTA ’09: Proc. of the 16th Int'l Conf. on Analytical and Stochastic Modeling Techniques and Applications, vol. 5513 of Lecture Notes in Computer Science, pp. 234–248, 2009.
Dinil Mon Divakaran, Eitan Altman, Georg Post, Ludovic Noirie, and Pascale Vicat-Blanc Primet, “Analysis of the effects of xlframes in a network,” in IFIP NETWORKING 2009..
Dinil Mon Divakaran, Eitan Altman, Georg Post, Ludovic Noirie, and Pascale Vicat-Blanc Primet, “From Packets to XLFrames: Sand and Rocks for Transfer of Mice and Elephants,” in IEEE INFOCOM High-Speed Networks Workshop, April 2009, pp. 1–6.
Dinil Mon Divakaran and Pascale Vicat-Blanc Primet, “Channel Provisioning in Grid Overlay Networks (short paper),” in Workshop on IP QoS and Traffic Control, Dec 2007.
Dinil Mon Divakaran, Hema A. Murthy, and Timothy A. Gonsalves, “Detection of SYN flooding Attacks Using Linear Prediction Analysis,” in 14th IEEE Int'l Conf. on Networks, ICON ’06, Sep 2006, vol. 1, pp. 218–223.
Dinil Mon Divakaran, Hema Murthy, and Timothy Gonsalves, “Traffic modeling and classification using packet train length and packet train size,” in 6th IEEE Int’l Workshop on Autonomic Principles of IP Operations and Management, IPOM 2006, vol. 4268 of Lecture Notes in Computer Science, pp. 1–12, 2006, (PDF), Received ‘Best paper’ award.

Internal research reports (selected):

Dinil Mon Divakaran, Sebastien Soudan, Pascale Vicat-Blanc Primet, and Eitan Altman, “A survey on core switch designs and algorithms,” INRIA Research Report RR-6942, 2009.
Sebastien Soudan, Dinil Mon Divakaran, Eitan Altman, and Pascale Vicat-Blanc Primet, “Extending Routing Games to Flows over Time,” INRIA Research Report RR-6931, 2009.