Cybersecurity & Privacy Engineering
Design Services We Offer
Graph Neural Networks for Advanced Persistent Threat (APT) Detection
Detects advanced network threats via graph analysis. Uses Python, PyTorch Geometric, NetworkX
Blockchain-Backed Secure Voting System with Zero-Knowledge Proofs
Secure blockchain-based voting with privacy guarantees. Built with Ethereum (Solidity), ZoKrates, Web3.py, Python.
AI-Powered Deepfake Detection using Temporal Consistency in Videos
Identifies fake videos using frame-sequence analysis. Uses Python, PyTorch/TensorFlow, OpenCV, CNN+LSTM.
Privacy-Preserving Federated Authentication for IoT Networks
Decentralized IoT login without central storage. Implemented with Python, PySyft, Homomorphic Encryption, Raspberry Pi.
Quantum-Resistant Cryptographic Protocol Simulation in Distributed Systems
Simulates encryption secure against quantum attacks. Built with Python, PQCrypto, and OpenMPI.
Anomaly Detection in Encrypted Traffic using Unsupervised Learning
Detects threats in encrypted data without decryption. Uses Python, Scikit-learn, Autoencoders, metadata datasets.