From the 1 of 7 linked papers with an AI index.
7 papers
Mitigating The Effect of Class Imbalance in Data with Hierarchical and Dependable Structure
Bipin Chhetri, Deepika Giri, Avishek Kadel +2
The paper introduces a hierarchy‑aware RoBERTa model that uses learnable parent‑class embeddings to improve classification of cybersecurity vulnerabilities in the CWE taxonomy, add…
Neuro-Agentic Control: A Deep Learning-based LLM-Powered Agentic AI Framework for Controlling Security Controls
Saroj Gopali, Bipin Chhetri, Deepika Giri +2
Cyberattacks on operational technology are increasingly causing costly downtime and physical damage, exposing the limitations of traditional rule-based monitoring in industrial IoT…
In-Context and Few-Shots Learning for Forecasting Time Series Data based on Large Language Models
Saroj Gopali, Bipin Chhetri, Deepika Giri +2
Existing data-driven approaches in modeling and predicting time series data include ARIMA (Autoregressive Integrated Moving Average), Transformer-based models, LSTM (Long Short-Ter…
The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks
Bipin Chhetri, Akbar Siami Namin
Cyberattacks are increasing, and securing against such threats is costing industries billions of dollars annually. Threat Modeling, that is, comprehending the consequences of these…
IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models
Nikesh Prajapati, Bimal Karki, Saroj Gopali +1
This paper intends to detect IoT malicious attacks through deep learning models and demonstrates a comprehensive evaluation of the deep learning and graph-based models regarding ma…
Evolutionary Defense: Advancing Moving Target Strategies with Bio-Inspired Reinforcement Learning to Secure Misconfigured Software Applications
Niloofar Heidarikohol, Shuvalaxmi Dass, Akbar Siami Namin
Improper configurations in software systems often create vulnerabilities, leaving them open to exploitation. Static architectures exacerbate this issue by allowing misconfiguration…