Dinil Mon Divakaran

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Mohan GurusamyAssociate Professor of Electrical and Computer Engineering, National University of SingaporeVerified email at nus.edu.sg
Vrizlynn ThingVerified email at ieee.org
Levente CsikorPhDVerified email at i2r.a-star.edu.sg
Pascale Vicat-Blanc PrimetINRIAVerified email at inria.fr
Mun Choon ChanSchool of Computing, National University of SingaporeVerified email at comp.nus.edu.sg
Min Suk KangKAISTVerified email at kaist.ac.kr
Ido NevatTUMCREATEVerified email at tum-create.edu.sg
Eitan AltmanSenior Researchers at INRIA, Sophia-Antipolis, FranceVerified email at inria.fr
Yun LinAssociate Professor, Shanghai Jiao Tong UniversityVerified email at cs.sjtu.edu.cn
Bryan Kian Hsiang LowAssociate Professor (with tenure), Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Long ChengSchool of Computing, Clemson UniversityVerified email at clemson.edu
Jin Song DongProfessor of Computer Science, National University of SingaporeVerified email at nus.edu.sg
Prof. Dr. Gareth W. PetersDuncan Endowed Chair Actuarial & Professor of Statistics for Risk & InsuranceVerified email at ucsb.edu
Hema A MurthyProfessor of Computer Science and Engineering, IIT MadrasVerified email at cse.iitm.ac.in
Quoc Phong NguyenA2I2 - Deakin UniversityVerified email at deakin.edu.au
Jialin LINational University of SingaporeVerified email at comp.nus.edu.sg
Adam OestPayPalVerified email at asu.edu
Stefan SchmidProfessor, Computer Science, TU Berlin & Weizenbaum Institute & Fraunhofer SITVerified email at tu-berlin.de
Giovanna CarofiglioCisco Distinguished EngineerVerified email at cisco.com
Giovanni ApruzzeseAssistant Professor, University of LiechtensteinVerified email at uni.li

Dinil Mon Divakaran

National University of Singapore; IEEE Senior Member

Verified email at nus.edu.sg - Homepage

AI for Security Offensive Security Phishing Network Security Applied AI


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GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection QP Nguyen, KW Lim, DM Divakaran, KH Low, MC Chan IEEE CNS, 2019	167*	2019
DEFT: A distributed IoT fingerprinting technique V Thangavelu, DM Divakaran, R Sairam, SS Bhunia, M Gurusamy IEEE Internet of Things Journal 6 (1), 940-952, 2019	153	2019
Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages Y Lin, R Liu, DM Divakaran, JY Ng, QZ Chan, Y Lu, Y Si, F Zhang, ... USENIX Security Symposium 2021, 2021	99*	2021
Anomaly Detection and Attribution in Networks With Temporally Correlated Traffic I Nevat, DM Divakaran, SG Nagarajan, P Zhang, L Su, LL Ko, VLL Thing IEEE/ACM Transactions on Networking, 2018	72	2018
HIPCAL: State of the Art of OS and Network virtualization solutions for Grids P Primet, JP Gelas, O Mornard, DM Divakaran, P Bozonnet, M Jan, ... Sep 14, 38, 2007	52*	2007
A feature-ranking framework for IoT device classification BA Desai, DM Divakaran, I Nevat, GW Peter, M Gurusamy 2019 11th International Conference on Communication Systems & Networks …, 2019	48	2019
Detection of SYN flooding attacks using linear prediction analysis DM Divakaran, HA Murthy, TA Gonsalves 2006 14th IEEE International Conference on Networks 1, 1-6, 2006	46	2006
Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach R Liu, Y Lin, X Yang, SH Ng, DM Divakaran, Jin Song Dong USENIX Security Symposium 2022, 2022	43	2022
SLIC: Self-learning intelligent classifier for network traffic DM Divakaran, L Su, YS Liau, VLL Thing Computer Networks 91, 283-297, 2015	42	2015
Towards flexible guarantees in clouds: Adaptive bandwidth allocation and pricing DM Divakaran, M Gurusamy IEEE Transactions on Parallel and Distributed Systems 26 (6), 1754-1764, 2014	39	2014
An online integrated resource allocator for guaranteed performance in data centers DM Divakaran, TN Le, M Gurusamy IEEE Transactions on Parallel and Distributed Systems 25 (6), 1382-1392, 2013	37	2013
FACT: A framework for authentication in cloud-based IP traceback L Cheng, DM Divakaran, AWK Ang, WY Lim, VLL Thing IEEE Transactions on Information Forensics and Security 12 (3), 604-616, 2016	36	2016
ADEPT: Detection and Identification of Correlated Attack-Stages in IoT Networks KLK Sudheera, DM Divakaran, RP Singh, M Gurusamy IEEE Internet of Things Journal, 2021	34	2021
Evidence gathering for network security and forensics DM Divakaran, KW Fok, I Nevat, VLL Thing Digital Investigation 20, S56-S65, 2017	33	2017
Opportunistic piggyback marking for IP traceback L Cheng, DM Divakaran, WY Lim, VLL Thing IEEE Transactions on Information Forensics and Security 11 (2), 273-288, 2015	32	2015
DIDA: Distributed In-Network Defense Architecture Against Amplified Reflection DDoS Attacks XZ Khooi, L Csikor, DM Divakaran, MS Kang IEEE NetSoft 2020, 2020	31	2020
Insider threat detection and its future directions LL Ko, DM Divakaran, YS Liau, VLL Thing International Journal of Security and Networks 12 (3), 168-187, 2017	31	2017
Performance study of TCP flows with QoS-supported OpenFlow in data center networks PM Mohan, DM Divakaran, M Gurusamy 2013 19th IEEE International Conference on Networks (ICON), 1-6, 2013	30	2013
Tuple Space Explosion: A Denial-of-Service Attack Against a Software Packet Classifier L Csikor, DM Divakaran, MS Kang, A Korosi, B Sonkoly, D Haja, ... ACM CoNEXT, 2019	27*	2019
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten QP Nguyen, R Oikawa, DM Divakaran, MC Chan, BKH Low ACM AsiaCCS, 2022	24	2022

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