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ORCIDDinil Mon Divakaran
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2020 – today
- 2024
[j19]Walid A. Aljoby
, Xin Wang, Dinil Mon Divakaran, Tom Z. J. Fu, Richard T. B. Ma, Khaled A. Harras:
DiffPerf: Toward Performance Differentiation and Optimization With SDN Implementation. IEEE Trans. Netw. Serv. Manag. 21(1): 1012-1031 (2024)- [c51]Yongwoo Oh, Michael Yiqing Hu, Xin Zhe Khooi, Jehyun Lee, Dinil Mon Divakaran, Min Suk Kang:
IoTell: A Privacy-Preserving Protocol for Large-scale Monitoring of IoT Security Status. CCGridW 2024: 9-17 - [c50]Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran, Tamal Das:
Mitigating Bias in Machine Learning Models for Phishing Webpage Detection. COMSNETS 2024: 430-432 - [c49]Binghui Wu, Philipp Gysel, Dinil Mon Divakaran, Mohan Gurusamy:
ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification. NOMS 2024: 1-9 - [c48]Kanav Sabharwal, Soundarya Ramesh, Jingxian Wang, Dinil Mon Divakaran, Mun Choon Chan:
Enhancing LoRa Reception with Generative Models: Channel-Aware Denoising of LoRaPHY Signals. SenSys 2024: 507-520 - [i17]Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran, Tamal Das:
Mitigating Bias in Machine Learning Models for Phishing Webpage Detection. CoRR abs/2401.08363 (2024) - [i16]Dinil Mon Divakaran, Sai Teja Peddinti:
LLMs for Cyber Security: New Opportunities. CoRR abs/2404.11338 (2024) - [i15]Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran, Tamal Das:
From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks. CoRR abs/2407.20361 (2024) - [i14]Jehyun Lee, Peiyuan Lim, Bryan Hooi, Dinil Mon Divakaran:
Multimodal Large Language Models for Phishing Webpage Detection and Identification. CoRR abs/2408.05941 (2024) - [i13]Philipp Gysel, Candid Wüest, Kenneth Nwafor, Otakar Jasek, Andrey Ustyuzhanin, Dinil Mon Divakaran:
EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs. CoRR abs/2408.09217 (2024) - 2023
- [j18]Cha Hwan Song, Xin Zhe Khooi, Dinil Mon Divakaran, Mun Choon Chan:
DySO: Enhancing application offload efficiency on programmable switches. Comput. Networks 224: 109607 (2023) - [j17]Akshaye Shenoi, Prasanna Karthik Vairam, Kanav Sabharwal, Jialin Li, Dinil Mon Divakaran:
iPET: Privacy Enhancing Traffic Perturbations for Secure IoT Communications. Proc. Priv. Enhancing Technol. 2023(2): 206-220 (2023) - [c47]Jehyun Lee, Zhe Xin, Melanie Ng Pei See, Kanav Sabharwal, Giovanni Apruzzese, Dinil Mon Divakaran:
Attacking Logo-Based Phishing Website Detectors with Adversarial Perturbations. ESORICS (3) 2023: 162-182 - [i12]Jehyun Lee, Zhe Xin, Melanie Ng Pei See, Kanav Sabharwal, Giovanni Apruzzese, Dinil Mon Divakaran:
Attacking logo-based phishing website detectors with adversarial perturbations. CoRR abs/2308.09392 (2023) - [i11]Binghui Wu, Philipp Gysel, Dinil Mon Divakaran, Mohan Gurusamy:
ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification. CoRR abs/2310.08036 (2023) - [i10]Levente Csikor, Dinil Mon Divakaran:
The Evolution of DNS Security and Privacy. CoRR abs/2312.04577 (2023) - 2022
- [j16]Dinil Mon Divakaran, Adam Oest:
Phishing Detection Leveraging Machine Learning and Deep Learning: A Review. IEEE Secur. Priv. 20(5): 86-95 (2022) - [c46]Quoc Phong Nguyen, Ryutaro Oikawa, Dinil Mon Divakaran, Mun Choon Chan, Bryan Kian Hsiang Low:
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten. AsiaCCS 2022: 351-363 - [c45]P. C. Amogh, Dinil Mon Divakaran, Mohan Gurusamy:
Inferring Autoscale Information from NFV MANO for Launching Attacks - An Experimental Study with Cloudified 5G. CIoT 2022: 173-179 - [c44]Jehyun Lee, Farren Tang, Phyo May Thet, Desmond Yeoh, Mitch Rybczynski, Dinil Mon Divakaran:
SIERRA: Ranking Anomalous Activities in Enterprise Networks. EuroS&P 2022: 44-59 - [c43]Jehyun Lee, Min Suk Kang, Dinil Mon Divakaran, Phyo May Thet, Videet Singhai, Jun Seung You:
A Step Towards On-Path Security Function Outsourcing. ICDCN 2022: 175-187 - [c42]Kushan Sudheera Kalupahana Liyanage, Tian Zixu, Dinil Mon Divakaran, Mun Choon Chan, Mohan Gurusamy:
APEX: Characterizing Attack Behaviors from Network Anomalies. IPCCC 2022: 207-216 - [c41]Cha Hwan Song, Xin Zhe Khooi, Dinil Mon Divakaran, Mun Choon Chan:
Revisiting Application Offloads on Programmable Switches. IFIP Networking 2022: 1-9 - [c40]Purnima Murali Mohan, Vivek Balachandran, Ong Ze Quan, Jas Pang Ze Xin, Dinil Mon Divakaran:
NFT-Merit: An NFT-based Module Credit Management System on Ethereum Blockchain. TALE 2022: 472-476 - [c39]Ruofan Liu, Yun Lin, Xianglin Yang, Siang Hwee Ng, Dinil Mon Divakaran, Jin Song Dong:
Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach. USENIX Security Symposium 2022: 1633-1650 - [d1]Kushan Sudheera Kalupahana Liyanage, Dinil Mon Divakaran, Rhishi Pratap Singh, Mohan Gurusamy:
NSS Mirai Dataset. IEEE DataPort, 2022
- [i9]Quoc Phong Nguyen, Ryutaro Oikawa, Dinil Mon Divakaran, Mun Choon Chan, Bryan Kian Hsiang Low:
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten. CoRR abs/2202.13585 (2022) - [i8]Jehyun Lee, Farren Tang, Phyo May Thet, Desmond Yeoh, Mitch Rybczynski, Dinil Mon Divakaran:
SIERRA: Ranking Anomalous Activities in Enterprise Networks. CoRR abs/2203.16802 (2022) - [i7]Dinil Mon Divakaran, Adam Oest:
Phishing Detection Leveraging Machine Learning and Deep Learning: A Review. CoRR abs/2205.07411 (2022) - 2021
- [j15]Kushan Sudheera Kalupahana Liyanage, Dinil Mon Divakaran, Rhishi Pratap Singh, Mohan Gurusamy:
ADEPT: Detection and Identification of Correlated Attack Stages in IoT Networks. IEEE Internet Things J. 8(8): 6591-6607 (2021) - [j14]Biswadeep Chakraborty, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, Mohan Gurusamy:
Cost-Aware Feature Selection for IoT Device Classification. IEEE Internet Things J. 8(14): 11052-11064 (2021) - [c38]Levente Csikor, Himanshu Singh, Min Suk Kang, Dinil Mon Divakaran:
Privacy of DNS-over-HTTPS: Requiem for a Dream? EuroS&P 2021: 252-271 - [c37]Jehyun Lee, Farren Tang, Pingxiao Ye, Fahim Abbasi, Phil Hay, Dinil Mon Divakaran:
D-Fence: A Flexible, Efficient, and Comprehensive Phishing Email Detection System. EuroS&P 2021: 578-597 - [c36]Xin Zhe Khooi, Levente Csikor, Jialin Li, Dinil Mon Divakaran:
In-Network Applications: Beyond Single Switch Pipelines. NetSoft 2021: 1-8 - [c35]Xin Zhe Khooi, Levente Csikor, Jialin Li, Min Suk Kang, Dinil Mon Divakaran:
Revisiting Heavy-Hitter Detection on Commodity Programmable Switches. NetSoft 2021: 79-87 - [c34]Walid A. Y. Aljoby, Xin Wang, Dinil Mon Divakaran, Tom Z. J. Fu, Richard T. B. Ma:
DiffPerf: An In-Network Performance Optimization for Improving User-Perceived QoE. NetSoft 2021: 288-292 - [c33]Yun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng, Qing Zhou Chan, Yiwen Lu, Yuxuan Si, Fan Zhang, Jin Song Dong:
Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages. USENIX Security Symposium 2021: 3793-3810 - [i6]Geong Sen Poh, Dinil Mon Divakaran, Hoon Wei Lim, Jianting Ning, Achintya Desai:
A Survey of Privacy-Preserving Techniques for Encrypted Traffic Inspection over Network Middleboxes. CoRR abs/2101.04338 (2021) - [i5]Jehyun Lee, Min Suk Kang, Dinil Mon Divakaran, Phyo May Thet, Videet Singhai, Jun Seung You:
A Step Towards On-Path Security Function Outsourcing. CoRR abs/2110.00250 (2021) - 2020
- [c32]Xin Zhe Khooi, Levente Csikor, Dinil Mon Divakaran, Min Suk Kang:
DIDA: Distributed In-Network Defense Architecture Against Amplified Reflection DDoS Attacks. NetSoft 2020: 277-281 - [c31]Xin Zhe Khooi, Levente Csikor, Min Suk Kang, Dinil Mon Divakaran:
In-network defense against AR-DDoS attacks. SIGCOMM Posters and Demos 2020: 18-20 - [c30]Xin Zhe Khooi, Levente Csikor, Min Suk Kang, Dinil Mon Divakaran:
Towards in-network time-decaying aggregates for heavy-hitter detection. SIGCOMM Posters and Demos 2020: 88-90 - [i4]Biswadeep Chakraborty, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, Mohan Gurusamy:
Cost-aware Feature Selection for IoT Device Classification. CoRR abs/2009.01368 (2020) - [i3]Levente Csikor, Vipul Ujawane, Dinil Mon Divakaran:
On the Feasibility and Enhancement of the Tuple Space Explosion Attack against Open vSwitch. CoRR abs/2011.09107 (2020) - [i2]Walid A. Y. Aljoby, Xin Wang, Dinil Mon Divakaran, Tom Z. J. Fu, Richard T. B. Ma:
DiffPerf: Towards Performance Differentiation and Optimization with SDN Implementation. CoRR abs/2012.03293 (2020)
2010 – 2019
- 2019
- [j13]Vijayanand Thangavelu, Dinil Mon Divakaran, Rishi Sairam, Suman Sankar Bhunia, Mohan Gurusamy:
DEFT: A Distributed IoT Fingerprinting Technique. IEEE Internet Things J. 6(1): 940-952 (2019) - [c29]Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan:
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. CNS 2019: 91-99 - [c28]Bharat Atul Desai, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, Mohan Gurusamy:
A feature-ranking framework for IoT device classification. COMSNETS 2019: 64-71 - [c27]Levente Csikor, Dinil Mon Divakaran, Min Suk Kang, Attila Korösi, Balázs Sonkoly, Dávid Haja, Dimitrios P. Pezaros, Stefan Schmid, Gábor Rétvári:
Tuple space explosion: a denial-of-service attack against a software packet classifier. CoNEXT 2019: 292-304 - [i1]Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan:
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. CoRR abs/1903.06661 (2019) - 2018
- [j12]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): 131-144 (2018) - [c26]Le Su, Dinil Mon Divakaran, Vrizlynn L. L. Thing:
Privacy preserving IP traceback. ISBA 2018: 1-8 - [c25]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: 220-225 - 2017
- [j11]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: 37-53 (2017) - [j10]Dinil Mon Divakaran, Fok Kar Wai, Ido Nevat, Vrizlynn L. L. Thing:
Evidence gathering for network security and forensics. Digit. Investig. 20 Supplement: S56-S65 (2017) - [j9]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): 168-187 (2017) - [j8]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): 604-616 (2017) - [c24]Leena Deodhar, Dinil Mon Divakaran, Mohan Gurusamy:
Analysis of Privacy Leak on Twitter. GLOBECOM 2017: 1-6 - [c23]Runa Barik, Dinil Mon Divakaran, Michael Welzl:
Characterizing the effects of TCP's initial window. INFOCOM Workshops 2017: 886-891 - [c22]Sharon Ezekiel, Dinil Mon Divakaran, Mohan Gurusamy:
Dynamic attack mitigation using SDN. ITNAC 2017: 1-6 - 2016
- [j7]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): 273-288 (2016) - [c21]Purnima Murali Mohan, Dinil Mon Divakaran, Mohan Gurusamy:
Proportional bandwidth sharing using Bayesian inference in SDN-based data centers. ICC 2016: 1-6 - [c20]Dinil Mon Divakaran, Yung Siang Liau, Vrizlynn L. L. Thing:
Accurate in-network file-type classification. SG-CRC 2016: 139-146 - 2015
- [j6]Dinil Mon Divakaran, Le Su, Yung Siang Liau, Vrizlynn L. L. Thing:
SLIC: Self-Learning Intelligent Classifier for network traffic. Comput. Networks 91: 283-297 (2015) - [j5]Dinil Mon Divakaran, Soumya Hegde, Raksha Srinivas, Mohan Gurusamy:
Dynamic resource allocation in hybrid optical-electrical datacenter networks. Comput. Commun. 69: 40-49 (2015) - [j4]Dinil Mon Divakaran, Mohan Gurusamy:
Towards Flexible Guarantees in Clouds: Adaptive Bandwidth Allocation and Pricing. IEEE Trans. Parallel Distributed Syst. 26(6): 1754-1764 (2015) - 2014
- [j3]Dinil Mon Divakaran, Mohan Gurusamy, Mathumitha Sellamuthu:
Bandwidth allocation with differential pricing for flexible demands in data center networks. Comput. Networks 73: 84-97 (2014) - [j2]Dinil Mon Divakaran, Tho Ngoc Le, Mohan Gurusamy:
An Online Integrated Resource Allocator for Guaranteed Performance in Data Centers. IEEE Trans. Parallel Distributed Syst. 25(6): 1382-1392 (2014) - [c19]Raksha Srinivas, Soumya Hegde, Dinil Mon Divakaran, Mohan Gurusamy:
Virtual Network Embedding in Hybrid Datacenters with Dynamic Wavelength Grouping. CloudCom 2014: 905-910 - [c18]Wee Kim Tan, Dinil Mon Divakaran, Mohan Gurusamy:
Uniform price auction for allocation of dynamic cloud bandwidth. ICC 2014: 2944-2949 - [c17]Soumya Hegde, Raksha Srinivas, Dinil Mon Divakaran, Mohan Gurusamy:
Dynamic embedding of virtual networks in hybrid optical-electrical datacenters. ICCCN 2014: 1-8 - [c16]Runa Barik, Dinil Mon Divakaran:
Development and experimentation of TCP initial window function. NOF 2014: 1-5 - 2013
- [c15]Dinil Mon Divakaran, Mohan Gurusamy:
Probabilistic-bandwidth guarantees with pricing in data-center networks. ICC 2013: 3716-3720 - [c14]Purnima Murali Mohan, Dinil Mon Divakaran, Mohan Gurusamy:
Performance study of TCP flows with QoS-supported OpenFlow in data center networks. ICON 2013: 1-6 - [c13]Runa Barik, Dinil Mon Divakaran:
Evolution of TCP's initial window size. LCN 2013: 500-508 - 2012
- [j1]Dinil Mon Divakaran:
A spike-detecting AQM to deal with elephants. Comput. Networks 56(13): 3087-3098 (2012) - [c12]Mohan Gurusamy, Tho Ngoc Le, Dinil Mon Divakaran:
An integrated resource allocation scheme for multi-tenant data-center. LCN 2012: 496-504 - [c11]Runa Barik, Dinil Mon Divakaran:
TCP Initial Window: A Study. WWIC 2012: 290-297 - 2011
- [c10]Reena Singh, Dinil Mon Divakaran, Timothy A. Gonsalves:
Taking rural BPO to new heights: An ACM for distributed and secure document sharing. IEEE ANTS 2011: 1-6 - [c9]Dinil Mon Divakaran, Eitan Altman, Pascale Vicat-Blanc Primet:
Size-Based Flow-Scheduling Using Spike-Detection. ASMTA 2011: 331-345 - [c8]Dinil Mon Divakaran:
Using spikes to deal with elephants. IPCCC 2011: 1-8 - 2010
- [c7]Fabienne Anhalt, Dinil Mon Divakaran, Pascale Vicat-Blanc Primet:
A virtual switch architecture for hosting virtual networks on the Internet. HPSR 2010: 26-31 - [c6]Dinil Mon Divakaran, Fabienne Anhalt, Eitan Altman, Pascale Vicat-Blanc Primet:
Size-based flow scheduling in a CICQ switch. HPSR 2010: 57-62 - [c5]Dinil Mon Divakaran, Giovanna Carofiglio, Eitan Altman, Pascale Vicat-Blanc Primet:
A Flow Scheduler Architecture. Networking 2010: 122-134
2000 – 2009
- 2009
- [c4]Sebastien Soudan, Dinil Mon Divakaran, Eitan Altman, Pascale Vicat-Blanc Primet:
Equilibrium in Size-Based Scheduling Systems. ASMTA 2009: 234-248 - [c3]Dinil Mon Divakaran, Eitan Altman, Georg Post, Ludovic Noirie, Pascale Vicat-Blanc Primet:
Analysis of the Effects of XLFrames in a Network. Networking 2009: 364-377 - 2006
- [c2]Dinil Mon Divakaran, Hema A. Murthy, Timothy A. Gonsalves:
Detection of Syn Flooding Attacks using Linear Prediction Analysis. ICON 2006: 1-6 - [c1]Dinil Mon Divakaran, Hema A. Murthy, Timothy A. Gonsalves:
Traffic Modeling and Classification Using Packet Train Length and Packet Train Size. IPOM 2006: 1-12
Coauthor Index
Gurusamy Mohan
aka: Mohan Gurusamy
aka: Mohan Gurusamy
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last updated on 2024-11-08 21:31 CET by the dblp team
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