Ashok Parmar

Orcid: 0000-0003-1137-043X

According to our database1, Ashok Parmar authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Gaussian Mixture Model-Based Anomaly Detection for Defense Against Byzantine Attack in Cooperative Spectrum Sensing.
IEEE Trans. Cogn. Commun. Netw., April, 2024

A Dual-Stream Convolution-GRU-Attention Network for Automatic Modulation Classification.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

Enhancing Cooperative Spectrum Sensing in Cognitive Radio Systems: Mitigating Byzantine Attacks with a Weighted Algorithm.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

2023
Defending Cooperative Spectrum Sensing From Byzantine Attacks: An Effective Entropy-Based Weighted Algorithm.
IEEE Wirel. Commun. Lett., December, 2023

Reinforcement learning for performance improvement in cooperative spectrum sensing.
Phys. Commun., August, 2023

Modulation Classification for Non-orthogonal Multiple Access System using a Modified Residual-CNN.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Dual-Stream CNN-BiLSTM Model with Attention Layer for Automatic Modulation Classification.
Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023

Defense Against Byzantine Attack in Cognitive Radio Using Isolation Forest.
Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023

2022
Single decision reporting for cooperative spectrum sensing under erroneous feedback channels with Byzantine attack.
Phys. Commun., 2022

On the Performance of Cooperative Spectrum Sensing Under Binary Erasure Reporting Channels.
Proceedings of the 27th National Conference on Communications, 2022

2017
Comparative Analysis of Optimum Capacity Allocation and Pricing in Power Market by Different Optimization Algorithms.
Proceedings of the Soft Computing for Problem Solving, 2017


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