A Novel Framework for Misbehavior Detection in SDN-based VANET. - Rukhsar Sultana; Jyoti Grover; Meenakshi Tripathi (IEEE ANTS, 2020)

Security of SDN-based vehicular ad hoc networks: State-of-the-art and challenges. - Rukhsar Sultana; Jyoti Grover; Meenakshi Tripathi (Veh. Commun., 2021)

Landslide vulnerability analysis using frequency ratio (FR) model: a study on Bandarban district, Bangladesh. - Nafis Fuad; Javed Meandad; Ashraful Haque; Rukhsar Sultana; Sumaiya Binte Anwar; Sharmin Sultana (CoRR, 2024)

Intelligent defense strategies: Comprehensive attack detection in VANET with deep reinforcement learning. - Rukhsar Sultana; Jyoti Grover; Meenakshi Tripathi (Pervasive Mob. Comput., 2024)

Cooperative approach for data-centric and node-centric misbehavior detection in VANET. - Rukhsar Sultana; Jyoti Grover; Meenakshi Tripathi (Veh. Commun., 2024)

Detecting Sybil Attacks in VANET: Exploring Feature Diversity and Deep Learning Algorithms with Insights into Sybil Node Associations. - Rukhsar Sultana; Jyoti Grover; Meenakshi Tripathi; Manhar Singh Sachdev; Sparsh Taneja (J. Netw. Syst. Manag., 2024)