AI/Machine Learning Techniques for Advanced Persistent Threat (APT)  Detection

Manoj Suresh Dhappadhule,Suraj Shankarrao Damre

AI/Machine Learning Techniques for Advanced Persistent Threat (APT) Detection

Authors

Manoj Suresh Dhappadhule,Suraj Shankarrao Damre

Keywords:

APT Detection, Artificial Intelligence, Deep Learning, Graph Neural Network, Transformer, Cybersecurity

Abstract

Advanced Persistent Threats remain one of the toughest challenges in modern cybersecurity.They are slow, careful, and often invisible to traditional defences, which is why so many high profile breaches involving banks, government agencies, and large enterprises in recent yearshave been traced back to APT activity

References

: Mayank Atreya, Navin Chhibber, Harvendra Singh, Explainable Machine Learning For Dynamic Pricing In Fast-Changing Retail Environments, 2022/4/9, Journal ,Available at SSRN 6011354, https://scholar.google.com/citations?view_op=view_citation&hl=en&user=fyViF1UAAAAJ&citation

for_view=fyViF1UAAAAJ:LkGwnXOMwfcC.

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Published

2024-11-20

How to Cite

Manoj Suresh Dhappadhule,Suraj Shankarrao Damre. (2024). AI/Machine Learning Techniques for Advanced Persistent Threat (APT) Detection. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 9058–9070. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5622