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LogShield is a comprehensive machine learning project that leverages the powerful TensorFlow.js to monitor and detect malicious activity in both web server access and login logs. This robust system offers a safeguard for your server, detecting and flagging suspicious behaviors to help protect against potential security breaches.

License: Creative Commons Zero v1.0 Universal

JavaScript 36.21% CSS 7.37% EJS 2.93% PowerShell 0.60% Shell 1.19% Dockerfile 0.10% TypeScript 51.60%
ddos-protection firewall

logshield's Introduction

Welcome!,

I'm Ewen, a passionate Software Engineer backend developer and a freelancer from Australia.
my passion for software lies in dreaming up ideas and making them come true with elegant interfaces.
I take great care in the experience, architecture and code quality of the things I build.

I learned much from the open-source community and software engineering friends.

Languages and Databases:

๐Ÿค– Machine Learning:

My interest in software engineering began when I was introduced to competitive programming. I really enjoyed the logical thinking and problem-solving aspect of it, and how there are multiple solutions to a single problem. I practice by solving problems on various platforms like Leetcode.


๐Ÿ–ฅ๏ธ Open-Source Projects:

Advanced Projects: Full Stack Projects:
Title Stars Technologies
FrostLink Stars Rust
ArcticAxis Stars Assembly
HaskMate Stars Haskell
Haskell Stars Haskell
Title Stars Technologies
BlazeDB Stars Javascript npm
Shard-Manager-Database Stars Typescript Redis
CacheHive Stars Javascript Redis MySQL
PostgresQL SurrealDB MongoDB
Docker-code-environment Stars Javascript Docker Redis



logshield's People

Contributors

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