and intrusion detection are crucial aspects of operating system security. From viruses to , malicious software poses significant threats to computer systems, compromising data integrity and user privacy. Understanding these risks is essential for developing effective defense strategies.
Intrusion detection systems, , and firewalls form a multi-layered approach to system protection. These tools work together to identify, prevent, and mitigate security breaches, while regular system updates patch vulnerabilities and strengthen overall system resilience against evolving threats.
Malware Types and Impact
Common Malware Categories
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Malware encompasses harmful programs designed to infiltrate and damage computer systems without user consent
Viruses self-replicate by attaching to executable files, spreading when infected files run
Potentially corrupt or destroy data
Example: Melissa spread through email attachments
Worms propagate independently across networks
Consume system resources
May carry malicious payloads
Example: ILOVEYOU infected millions of Windows computers
Trojans disguise as legitimate software to trick users into installation
Often create backdoors for unauthorized system access
Example: Zeus Trojan targeted banking information
Advanced Malware Types
Ransomware encrypts user data and demands payment for decryption
Renders files inaccessible
Potentially causes data loss
Example: WannaCry ransomware attack affected over 200,000 computers globally
covertly collects user information
Compromises privacy and security
Transmits sensitive data to malicious actors
Example: Pegasus spyware targeted mobile devices for surveillance
Rootkits conceal the presence of other malware
Make detection and removal challenging
Operate at a low level in the system
Example: Sony BMG hidden on music CDs
Intrusion Detection Principles
IDS Fundamentals
monitor network or system activities for malicious actions
Produce reports to management stations on potential security violations
compares events to known attack signatures
Effectively identifies known threats
May miss novel attacks
Example: Snort IDS uses signature-based detection
establishes normal system behavior baseline
Flags deviations from the norm
Capable of detecting unknown threats
Prone to false positives
Example: IBM QRadar SIEM uses anomaly-based detection
IDS Types and Advanced Techniques
(HIDS) monitors internals of a computing system
Analyzes file systems, system calls, and application logs
Example: OSSEC is a popular open-source HIDS
(NIDS) analyzes traffic across multiple hosts
Detects suspicious patterns or known attack signatures