1. Introduction to Cybersecurity
- Definition:
- The practice of defending computers, servers, mobile devices, and data from malicious attacks.
- Key Objectives (CIA Triad):
- Confidentiality: Ensuring data is accessed only by authorized individuals.
- Integrity: Maintaining the accuracy and reliability of data.
- Availability: Ensuring data and systems are accessible when needed.
2. Types of Cyber Threats
- Malware:
- Malicious software such as viruses, worms, trojans, ransomware, and spyware.
- Phishing:
- Fraudulent attempts to obtain sensitive information via fake emails or websites.
- DDoS (Distributed Denial of Service):
- Overloading a server or network to disrupt its services.
- SQL Injection:
- Attacking a database by injecting malicious SQL queries.
- Man-in-the-Middle (MITM):
- Intercepting communication between two parties to steal or manipulate data.
- Symmetric Encryption:
- Single key is used for encryption and decryption (e.g., AES, DES).
- Asymmetric Encryption:
- Uses a public-private key pair (e.g., RSA, ECC).
- Hashing:
- Irreversible data transformation (e.g., SHA-256, MD5).
- Digital Signatures:
- Ensuring data authenticity and integrity.
- Firewalls:
- Filters incoming and outgoing traffic based on rules.
- Intrusion Detection and Prevention Systems (IDPS):
- Detect and prevent unauthorized access to networks.
- VPNs (Virtual Private Networks):
- Secure connections over public networks.
- Penetration Testing:
- Simulating attacks to identify vulnerabilities in systems.
- Types of Hackers:
- White Hat: Ethical hackers.
- Black Hat: Malicious hackers.
- Gray Hat: Hackers who act without malicious intent but without permission.
- Antivirus and Anti-malware: Detecting and removing malicious software.
- Password Management: Tools like LastPass, KeePass to manage strong passwords.
- SIEM (Security Information and Event Management): Tools for monitoring and analyzing security events.
- Penetration Testing Tools:
- Kali Linux, Metasploit, Wireshark, Burp Suite.
- Zero Trust Architecture:
- Assuming no user or device is trustworthy by default.
- AI and Machine Learning:
- Leveraged to predict and prevent cyber threats.
- Blockchain Security:
- Enhancing data security and transparency.
- Cybersecurity in IoT:
- Securing interconnected devices and networks.