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Diksha Goel
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2020 – today
- 2024
- [j7]Mingyu Guo, Diksha Goel, Guanhua Wang, Runqi Guo, Yuko Sakurai, Muhammad Ali Babar:
Mechanism design for public projects via three machine learning based approaches. Auton. Agents Multi Agent Syst. 38(1): 16 (2024) - [j6]Raveen Kanishka Jayalath
, Hussain Ahmad
Microservice Vulnerability Analysis: A Literature Review With Empirical Insights. IEEE Access 12: 155168-155204 (2024) - [j5]Ankit Kumar Jain
A comprehensive survey on DDoS detection, mitigation, and defense strategies in software-defined networks. Clust. Comput. 27(9): 13129-13164 (2024) - [j4]Diksha Goel
Effective graph-neural-network based models for discovering Structural Hole Spanners in large-scale and diverse networks. Expert Syst. Appl. 249: 123636 (2024) - [c5]Diksha Goel, Kristen Moore, Mingyu Guo, Derui Wang, Minjune Kim, Seyit Camtepe:
Optimizing Cyber Defense in Dynamic Active Directories Through Reinforcement Learning. ESORICS (1) 2024: 332-352 - [i10]Majid Abdulsatar, Hussain Ahmad, Diksha Goel, Faheem Ullah:
Towards Deep Learning Enabled Cybersecurity Risk Assessment for Microservice Architectures. CoRR abs/2403.15169 (2024) - [i9]Diksha Goel, Kristen Moore, Mingyu Guo, Derui Wang, Minjune Kim, Seyit Camtepe:
Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning. CoRR abs/2406.19596 (2024) - [i8]Raveen Kanishka Jayalath, Hussain Ahmad, Diksha Goel, Muhammad Shuja Syed, Faheem Ullah:
Microservice Vulnerability Analysis: A Literature Review with Empirical Insights. CoRR abs/2408.03960 (2024) - 2023
- [c4]Diksha Goel
Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems. GECCO 2023: 1348-1356 - [i7]Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo:
Effective Graph-Neural-Network based Models for Discovering Structural Hole Spanners in Large-Scale and Diverse Networks. CoRR abs/2302.12442 (2023) - [i6]Diksha Goel
Discovering Top-k Structural Hole Spanners in Dynamic Networks. CoRR abs/2302.13292 (2023) - [i5]Diksha Goel, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo:
Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems. CoRR abs/2304.03998 (2023) - [i4]Mingyu Guo, Diksha Goel, Guanhua Wang, Yong Yang, Muhammad Ali Babar:
Cost Sharing Public Project with Minimum Release Delay. CoRR abs/2305.11657 (2023) - [i3]Diksha Goel:
Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion. CoRR abs/2310.10667 (2023) - 2022
- [c3]Diksha Goel
Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation. GECCO 2022: 1191-1199 - [c2]Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo:
Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks. WI/IAT 2022: 64-71 - [i2]Diksha Goel, Max Ward
Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation. CoRR abs/2204.03397 (2022) - [i1]Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo:
Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks. CoRR abs/2212.08239 (2022) - 2021
- [j3]Deepa Joshi
Progressive Transfer Learning Approach for Identifying the Leaf Type by Optimizing Network Parameters. Neural Process. Lett. 53(5): 3653-3676 (2021) - [c1]Diksha Goel
Maintenance of Structural Hole Spanners in Dynamic Networks. LCN 2021: 339-342 - 2020
- [j2]Ankit Kumar Jain
Predicting Spam Messages Using Back Propagation Neural Network. Wirel. Pers. Commun. 110(1): 403-422 (2020)
2010 – 2019
- 2018
- [j1]Diksha Goel
Mobile phishing attacks and defence mechanisms: State of art and open research challenges. Comput. Secur. 73: 519-544 (2018)
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