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20242026
most citedInterpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models

2 citations · 2 across the 7 of their papers we have counts for

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cs.CR2026

Generative AI for Encrypted Traffic Analysis: Synthetic Dataset Generation and Classifier Evaluation

Harshil Patel, Himanshu Garg, Aswani Kumar Cherukuri

Network traffic analysis faces significant challenges with encrypted communications, primarily due to limited visibility into packet contents and the inherent imbalance in availabl…

cs.CR2026

Quantum-Resilient Banking Transaction Security using DW-HKEM: A Hybrid RSA/ML-KEM Cryptographic Gateway with Real-Time Monitoring

Siddhaarth S Prabhu, Aswani Kumar Cherukuri

The increasing number of online banking and financial services on public-facing networks has caused security of cryptographic protocols to become a serious, systemic problem. RSA-2…

cs.CR2026

Comparative Evaluation of VAE, GAN, and SMOTE for Tor Detection in Encrypted Network Traffic

Saravanan A, Aswani Kumar Cherukuri

Encrypted network traffic poses significant challenges for intrusion detection due to the lack of payload visibility, limited labeled datasets, and high class imbalance between ben…

cs.CR2025

Confidential Computing for Cloud Security: Exploring Hardware based Encryption Using Trusted Execution Environments

Dhruv Deepak Agarwal, Aswani Kumar Cherukuri

The growth of cloud computing has revolutionized data processing and storage capacities to another levels of scalability and flexibility. But in the process, it has created a huge…

cs.CR2025★ 2 cited

Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models

Kalindi Singh, Aayush Kashyap, Aswani Kumar Cherukuri

The widespread adoption of encrypted communication protocols such as HTTPS and TLS has enhanced data privacy but also rendered traditional anomaly detection techniques less effecti…

cs.CR2025

Analysis of Light-Weight Cryptography Algorithms for UAV-Networks

Aanchal Patel, Aswani Kumar Cherukuri

Unmanned Aerial Vehicles are increasingly utilized across various domains, necessitating robust security measures for their communication networks. The ASCON family, a NIST finalis…