Follow
Anshuman Chhabra
Anshuman Chhabra
PhD Candidate (Computer Science), University of California, Davis
Verified email at ucdavis.edu - Homepage
Title
Cited by
Cited by
Year
GMMR: A Gaussian mixture model based unsupervised machine learning approach for optimal routing in opportunistic IoT networks
V Vashishth, A Chhabra, DK Sharma
Computer Communications 134, 138-148, 2019
402019
A game theory based secure model against black hole attacks in opportunistic networks
A Chhabra, V Vashishth, DK Sharma
2017 51st Annual conference on information sciences and systems (CISS), 1-6, 2017
352017
A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks
A Chhabra, V Vashishth, DK Sharma
International Journal of Communication Systems 31 (4), e3487, 2018
342018
Designing energy-efficient IoT-based intelligent transport system: need, architecture, characteristics, challenges, and applications
KK Bhardwaj, A Khanna, DK Sharma, A Chhabra
Energy Conservation for IoT Devices, 209-233, 2019
27*2019
SEIR: A stackelberg game based approach for energy-aware and incentivized routing in selfish opportunistic networks
A Chhabra, V Vashishth, DK Sharma
2017 51st Annual Conference on information sciences and systems (CISS), 1-6, 2017
232017
Classifying elephant and mice flows in high-speed scientific networks
A Chhabra, M Kiran
Proc. INDIS, 1-8, 2017
202017
RLProph: a dynamic programming based reinforcement learning approach for optimal routing in opportunistic IoT networks
DK Sharma, JJPC Rodrigues, V Vashishth, A Khanna, A Chhabra
Wireless Networks 26 (6), 4319-4338, 2020
182020
A machine learning approach using classifier cascades for optimal routing in opportunistic internet of things networks
V Vashishth, A Chhabra, DK Sharma
2019 16th Annual IEEE International Conference on Sensing, Communication …, 2019
182019
An energy efficient routing protocol for wireless internet-of-things sensor networks
A Chhabra, V Vashishth, A Khanna, DK Sharma, J Singh
arXiv preprint arXiv:1808.01039, 2018
18*2018
Enabling security for the Industrial Internet of Things using deep learning, blockchain, and coalitions
M Sharma, S Pant, D Kumar Sharma, K Datta Gupta, V Vashishth, ...
Transactions on Emerging Telecommunications Technologies 32 (7), e4137, 2021
162021
Suspicion-free adversarial attacks on clustering algorithms
A Chhabra, A Roy, P Mohapatra
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3625-3632, 2020
15*2020
Understanding flows in high-speed scientific networks: A netflow data study
M Kiran, A Chhabra
Future Generation Computer Systems 94, 72-79, 2019
152019
A moving target defense against adversarial machine learning
A Roy, A Chhabra, CA Kamhoua, P Mohapatra
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 383-388, 2019
142019
IoT architecture for preventive energy conservation of smart buildings
A Khanna, S Arora, A Chhabra, KK Bhardwaj, DK Sharma
Energy Conservation for IoT Devices, 179-208, 2019
142019
Fair algorithms for hierarchical agglomerative clustering
A Chhabra, V Vashishth, P Mohapatra
arXiv preprint arXiv:2005.03197, 2020
112020
A predictive approach to task scheduling for Big Data in cloud environments using classification algorithms
V Vashishth, A Chhabra, A Sood
2017 7th International Conference on Cloud Computing, Data Science …, 2017
102017
An elliptic curve cryptography based encryption scheme for securing the cloud against eavesdropping attacks
A Chhabra, S Arora
2017 IEEE 3rd International Conference on Collaboration and Internet …, 2017
62017
An overview of fairness in clustering
A Chhabra, K Masalkovaitė, P Mohapatra
IEEE Access, 2021
52021
Fair Clustering Using Antidote Data
A Chhabra, A Singla, P Mohapatra
Algorithmic Fairness through the Lens of Causality and Robustness workshop …, 2022
32022
Hands-On ONE Simulator: Opportunistic Network Environment
A Chhabra, V Vashishth, DK Sharma
Opportunistic Networks, 280-303, 2018
32018
The system can't perform the operation now. Try again later.
Articles 1–20