Bishal Lakha

Hi! I am Bishal, currently pursuing a Ph.D. in Computer Science at Boise State University, where I am collaborating with my advisor, Dr. Edoardo Serra. My research primarily delves into the realms of Graph Representation Learning, Graph Explainability, and Anomaly Detection, with a specific focus on their applications in Cyber Security.

Prior to this, I completed my Master’s degree in Computer Science, also at Boise State University. My undergraduate studies were in Electronics and Communication Engineering, undertaken at the Institute of Engineering, Pulchowk Campus, Tribhuvan University, Nepal.

latest posts

Feb 6, 2024	Graph Diffusion Model and Its Applications
Feb 5, 2023	Generalization Ability as a Criteria of Intelligence

selected publications

IEEE

Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph

Bishal Lakha, Jason Duran, Edoardo Serra, and 1 more author

In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), 2023

Bib HTML

@inproceedings{10302510,
  author = {Lakha, Bishal and Duran, Jason and Serra, Edoardo and Spezzano, Francesca},
  booktitle = {2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)},
  title = {Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph},
  year = {2023},
  volume = {},
  number = {},
  pages = {1-8},
  doi = {10.1109/DSAA60987.2023.10302510},
}

IEEE

Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset

Bishal Lakha, Sara Lilly Mount, Edoardo Serra, and 1 more author

In 2022 IEEE International Conference on Big Data (Big Data), 2022

Bib HTML

@inproceedings{10020336,
  author = {Lakha, Bishal and Mount, Sara Lilly and Serra, Edoardo and Cuzzocrea, Alfredo},
  booktitle = {2022 IEEE International Conference on Big Data (Big Data)},
  title = {Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset},
  year = {2022},
  volume = {},
  number = {},
  pages = {5756-5764},
  doi = {10.1109/BigData55660.2022.10020336},
}