Anshuman Chhabra
Anshuman Chhabra
PhD Candidate (Computer Science), University of California, Davis
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
An overview of fairness in clustering
A Chhabra, K Masalkovaitė, P Mohapatra
IEEE Access 9, 130698-130720, 2021
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, 4319-4338, 2020
Classifying elephant and mice flows in high-speed scientific networks
A Chhabra, M Kiran
Proc. INDIS, 1-8, 2017
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
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
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
IoT architecture for preventive energy conservation of smart buildings
A Khanna, S Arora, A Chhabra, KK Bhardwaj, DK Sharma
Energy Conservation for IoT Devices: Concepts, Paradigms and Solutions, 179-208, 2019
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
Understanding flows in high-speed scientific networks: A netflow data study
M Kiran, A Chhabra
Future Generation Computer Systems 94, 72-79, 2019
Fair algorithms for hierarchical agglomerative clustering
A Chhabra, P Mohapatra
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
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
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
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
YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations
M Haroon, A Chhabra, X Liu, P Mohapatra, Z Shafiq, M Wojcieszak
arXiv preprint arXiv:2203.10666, 2022
Fair clustering using antidote data
A Chhabra, A Singla, P Mohapatra
Algorithmic Fairness through the Lens of Causality and Robustness workshop …, 2022
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