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- Data Analytics
- Data Loss Prevention
- Data Migration
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- Data Privacy
- Data Science
- Data Transformation
- Deep Learning
- Definition of Protocol Analysis | OrangeMantra
- Denial of Service (DoS)
- Dependency Scanning
- DevOps
- DevSecOps Pipeline
- Digital Engineering
- Digital Forensics
- Digital Transformation
- Disaster Recovery
- Distributed Version Control System (DVCS)
- Dynamic Application Security Testing (DAST)
Rootkit Detection
Simple Definition for Beginners:
Rootkit detection involves identifying hidden malicious software designed to gain unauthorized access to a computer system.
Common Use Example:
Antivirus software scans a computer for rootkits, uncovering and removing hidden malware that could compromise the system.
Technical Definition for Professionals:
Rootkit detection refers to the process of identifying and mitigating rootkits, which are sophisticated forms of malware that enable persistent, unauthorized access to a computer system by subverting standard operating system functions. These detection techniques often involve:
- Signature-Based Detection: Comparing files and processes against known rootkit signatures.
- Heuristic/Behavioral Analysis: Identifying abnormal system behaviors indicative of rootkit activity.
- Memory Scanning: Examining memory for hidden processes or malicious code.
- Integrity Checking: Verifying the integrity of system files and configurations to detect unauthorized changes.
- Kernel Debugging: Using advanced tools to inspect kernel-level operations for suspicious activity.