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IoT Sentinel: Anomaly Detection Engine for Smart Home Device Security

An automated system that learns IoT device behavior on a network and flags anomalies to preemptively identify security breaches and data leaks.

PythonNmapWireshark+1

ZK-Vault: A Decentralized Identity System with Zero-Knowledge Proofs

A prototype for a user-controlled digital identity vault that uses ZKPs to enhance privacy and prevent data aggregation by third parties.

PythonBurp SuiteMetasploit+1

Project Chimera: AI-Powered Adaptive Phishing Threat Simulation

Developing an AI engine to generate and deploy hyper-realistic phishing attacks for advanced corporate security training and assessment.

PythonKali LinuxWireshark+1

Project Chimera: Proactive Threat Evasion via AI Footprint Obfuscation

Build a reinforcement learning agent that dynamically generates misleading data trails to proactively camouflage a user's digital identity.

TensorFlowPythonScikit-learn+1

CryptiLearn: Federated AI with Homomorphic Encryption for Privacy

Architect a federated learning system that uses homomorphic encryption to protect model updates, ensuring total privacy in collaborative AI.

TensorFlowPythonDocker+1

GANShield: Adversarial Synthetic Data Generation for Ultimate Privacy

Develop a GAN framework to generate high-fidelity, privacy-preserving synthetic datasets, enabling secure AI model training and analysis.

TensorFlowKerasPython+2

CryptFlow: Federated Learning with Homomorphic Encrypted Model Aggregation

A decentralized framework that trains global models on distributed data, using encryption to protect model updates during aggregation.

PythonTensorFlowScikit-learn+1

AegisAI: Deep Learning for Zero-Day Threat Detection in Encrypted Traffic

An AI system using deep learning to identify novel cyber threats by analyzing encrypted network traffic patterns, thus preserving data privacy.

TensorFlowScikit-learnPython+1

GAN-Guard: Adversarial Generation of Privacy-Preserving Synthetic Datasets

Developing a novel GAN framework to generate high-fidelity, anonymized synthetic data for secure machine learning without exposing user information.

TensorFlowKerasPython+1

Federated Learning System with Homomorphic Encryption for Secure Training

Implement a framework for training a central ML model on encrypted data from distributed clients without ever decrypting their private information.

PythonTensorFlowDocker

AI-Powered De-identification of User Text via Adversarial Learning

Build a model that automatically redacts sensitive information from text while preserving its utility for analysis, using adversarial training techniques.

PythonKerasScikit-learn+1

Generative Adversarial Networks for Synthetic Data Anonymization

Develop a GAN model to generate synthetic datasets that mimic real data distributions while providing formal privacy guarantees like k-anonymity.

PythonTensorFlowKeras+1

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