Kodiyilthekkadil's starred repositories

cybersecurity

Cybersecurity threats detection using Deep Learning architectures

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amazon-guardduty-ec2-threat-detection

Illustrate the capabilities of Amazon GuardDuty to detect EC2 threats

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IPv6-L3-threat-detection

Scripts to aid in the detection of IPv6 Network Layer threats using flow data

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URL-Phishing-Detection-System

Networks Threats and Attacks Laboratory Project

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apt-loki-simulate

An Advanced Persistent Threat Simulation Example under Loki Detection. Forked from

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SecurityThreatDetectionDeepLearning

Deep learning approach to security threat detection.

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Hack-detect

Near-Real Time Threat Detection

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TDR

Threat Detection and Response - SOAR

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threatnav

Cyber threat detection and analysis platform

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rules

Cyber Threats Detection Rules

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cyberusAI

Automated threat detection

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RTD

Real Time Threat Detection

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threat-detection

Security through AWS Rekogition

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DDoS_CyberThreat_Detection_AI_ML_Algorithms

DDoS attack analysis using Machine Learning

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threat-detection

threat detection

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Python-ThreatDetection-Projects

How to use it, please visit my blog @ https://selfieblue.wordpress.com/2015/11/14/python-threat-detection-application/

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FSC-ThreatDetectionEngineering

A repository for Use Cases developed by students from Florida Southern College

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ThreatDetection

This is the Particle Swarm for Cyber Threat and Cyber Attack Prediction

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detection-notebooks

A collection of threat detection notebooks utilising data science techniques.

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APT-Detection-Via-Graph-Analytics

This is a public repo for the Graph Analytics project done for the Advanced and Persistent Threats (CS 594-III) during Spring Semester for 2016

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NIDAR

Automatic Threat Detection

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UIBD_ARAE

enterprise threat detection

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tg-amp-03-get-samples-add-to-scd

Get samples from Threat Grid and add the SHA256 to AMP Simple Custom Detection

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APThreatDetectionSys

Advanced Persistent Threat /Intrusion Detection Sys

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WiFire

Threat Detection App (CEWIT Hackathon)

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awesome-ml-for-threat-detection

A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.

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