secureshark

secureshark's Stars

• Ramub226/Behavioar-Based-Insider-Threat-Detection-Using-Deep-Learning

  Cyber security issues are around the globe where data security is the major concern, one or the another company vulnerable to data leakage issues by the insiders , So to overcome this insider threats issues we developed a model which detects the insider attack prior. In this we have used LSTM-CNN and BI-LSTM-CNN to deploy a model.

  Language:Jupyter Notebook93

• dc401/tensorflow-insiderthreat

  Experimental ONLY: This consolidated data of scenario-2 of the US-CERT dataset for insider threats to be used with TF 2.0 and Keras

  Language:Python2012

• Chaofan-Z/InsiderThreatDetection

  Insider threat detection with heterogeneous graph in CERT dataset.

  Language:Python187

• randomuserid/Baltar

  Searches for Insider Threat Hunting

  308

• center-for-threat-informed-defense/insider-threat-ttp-kb

  The principal objective of this project is to develop a knowledge base of the tactics, techniques, and procedures (TTPs) used by insiders in the IT environment. It will establish an Insider Threat TTP Knowledge Base, built upon data collected on insider threat incidents and lessons learned and experience from the ATT&CK knowledge base.

  Language:Python14220

• mdsecactivebreach/SharpPack

  An Insider Threat Toolkit

  Language:Batchfile14934

• trickest/insiders

  Archive of Potential Insider Threats

  14221

• nasbench/SIGMA-Resources

  Resources To Learn And Understand SIGMA Rules

  17314

• PacktPublishing/Automating-Security-Detection-Engineering

  Automating Security Detection Engineering, published by Packt

  Language:Python5214

• splunk/security_content

  Splunk Security Content

  Language:Python1.3k374

• dachosen1/Feature-Engineering-for-Fraud-Detection

  Implementation of feature engineering from Feature engineering strategies for credit card fraud

  Language:Jupyter Notebook4010

• PacktPublishing/Practical-Threat-Detection-Engineering

  Practical Threat Detection Engineering, Published by Packt

  6315

• infosecB/awesome-detection-engineering

  Detection Engineering is a tactical function of a cybersecurity defense program that involves the design, implementation, and operation of detective controls with the goal of proactively identifying malicious or unauthorized activity before it negatively impacts an individual or an organization.

  89683

• blackorbird/APT_REPORT

  Interesting APT Report Collection And Some Special IOC

  Language:Python2.5k515

• rubiruchi/Insider-Threat-and-Anomaly-Detection-from-User-Activities

  Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)

  Language:Jupyter Notebook6018

• Insider-Threat/Insider-Threat

  Creating a resource to help build and manage an Insider Threat program.

  6410

• lcd-dal/feature-extraction-for-CERT-insider-threat-test-datasets

  Feature extraction for CERT insider threat test dataset

  Language:Python8321

• raymondino/InsiderThreat-StreamReasoningUseCase

  This use case aims to leverage stream reasoning techniques and the concept of semantic importance to detect one attacking type of the insider threat -- data exfiltration

  Language:Web Ontology Language2214

• tabzraz/InsiderThreatDetection

  Language:Jupyter Notebook2013

• h33tlit/secret-regex-list

  List of regex for scraping secret API keys and juicy information.

  68667