A
- Access Control
- Agile Development
- AI Analytics
- AI Marketing
- Anomaly Detection
- App Code Obfuscation
- App Security
- Application Development
- Application Hardening
- Application Infrastructure
- Application Management
- Application Modernization
- Application Programming Interface (API)
- Application Security Testing (AST)
- Application Transformation
- Applied Artificial Intelligence
- Artificial Intelligence
- Asset Management
- Authentication
- Authorization
- Automated Machine Learning
- Automation Solutions
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.