Crowdroid: Behavior-Based Malware Detection System for Android
Crowdroid is a behavior-based malware detection system for Android platforms. It employs a crowdsourcing approach to collect traces of application behavior, which enables the detection of anomalies and malware. The system is designed to analyze the behavior of Android applications, distinguishing between benign and malicious ones, and detecting trojan horses. The framework has demonstrated a 100% detection rate for self-written malware and successfully detected real malware found in the wild.
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The Cloudflare Learning Center provides educational resources covering various cybersecurity and internet-related topics, including DDoS attacks, CDNs, DNS, web application security, serverless computing, encryption protocols, bots, cloud computing, Zero Trust security, SASE, networking, data privacy, video streaming, email security, and AI.
A comprehensive cheat sheet for using JtR (John the Ripper), a password cracking tool.
A quick reference guide for the VI editor, covering commands and modes.
A comprehensive guide on Linux persistence mechanisms, focusing on scheduled tasks and jobs, their implementation, detection, and hunting strategies.
A comprehensive guide on utilizing advanced SSH tunneling techniques for network penetration testing and red team engagements, with a focus on Windows environments and firewall bypass methods.
A Microsoft framework for secure and efficient sharing of cybersecurity information between trusted parties to reduce cybersecurity risks.
A comprehensive reference guide to Nmap's scripting engine and its various options, scripts, and target specifications.
A comprehensive PowerShell cheat sheet covering various tasks and techniques for file management, process management, network operations, and system administration.
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