This element introduces learners to the landscape of threats facing ICT systems and data, ranging from malware and phishing to insider threats and physical
Topic Synopsis
This element introduces learners to the landscape of threats facing ICT systems and data, ranging from malware and phishing to insider threats and physical breaches. It underpins the essential knowledge required to implement effective security measures in a professional setting, and empowers individuals to safeguard sensitive information in accordance with data protection principles. The practical application includes risk assessment, incident reporting, and the adoption of secure working practices to maintain data integrity and confidentiality.
Key Concepts & Core Principles
- Data Protection Principles: The six principles under UK GDPR – lawfulness, fairness and transparency; purpose limitation; data minimisation; accuracy; storage limitation; integrity and confidentiality (security).
- Individual Rights: Rights including the right to be informed, right of access (subject access requests), right to rectification, right to erasure (right to be forgotten), right to restrict processing, right to data portability, and rights related to automated decision-making.
- Personal Data vs. Special Category Data: Personal data is any information relating to an identified or identifiable living individual. Special category data (e.g., health, race, political opinions) requires higher protection and explicit consent.
- Data Security Measures: Physical (locked filing cabinets, secure shredding), technical (firewalls, encryption, strong passwords), and organisational (staff training, data protection policies, access controls).
- Data Breach Response: Steps to take when a breach occurs – contain the breach, assess the risk, notify the ICO within 72 hours if likely to cause harm, and inform affected individuals if necessary.
Exam Tips & Revision Strategies
- When answering assessment questions, always link a specific threat to its potential impact and a relevant control, demonstrating holistic understanding.
- Use correct technical terminology accurately (e.g., phishing vs. spear phishing, data at rest vs. data in transit) to gain higher marks in written work.
- Provide practical, realistic examples from a workplace or personal context to show applied knowledge, as this is valued by assessors.
Common Misconceptions & Mistakes to Avoid
- Confusing viruses with worms or trojans, or failing to distinguish between different malware types.
- Assuming that antivirus software alone provides complete protection against all cyber threats, neglecting the importance of user awareness.
- Overlooking the risk from physical theft or loss of devices containing unencrypted personal data.
Examiner Marking Points
- Award credit for demonstrating accurate identification of at least three distinct threat types, such as viruses, social engineering, and denial-of-service attacks, with relevant examples.
- Award credit for clearly explaining how a specific protective measure (e.g., encryption, access controls, regular updates) mitigates a corresponding threat.
- Award credit for describing appropriate personal data protection practices, including password management, device encryption, and safe online behaviour, with reference to data minimisation.