Pervasive User Data Collection from Cyberspace: Privacy Concerns and Countermeasures

• Published in: Cryptography Vol. 8; no. 1; p. 5
• Main Authors: Jiang, Yinhao, Rezazadeh Baee, Mir Ali, Simpson, Leonie Ruth, Gauravaram, Praveen, Pieprzyk, Josef, Zia, Tanveer, Zhao, Zhen, Le, Zung
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2024
• Subjects: Advertising; Computational linguistics; Computer industry; Consent; Cyber-physical systems; Data collection; Data entry; Data exchange; Data integrity; Data points; Information management; Internet of Things; Language processing; lightweight encryption; local differential privacy; location privacy; Natural language interfaces; Personal information; Privacy; Smartphones; Surveillance; User behavior; User experience; user privacy; wearable device access control; web privacy protection; Australia; United States; Germany
• DOI: 10.3390/cryptography8010005
• ISSN: 2410-387X

The increasing use of technologies, particularly computing and communication paradigms, has significantly influenced our daily lives. Interconnecting devices and networks provides convenient platforms for information exchange and facilitates pervasive user data collection. This new environment presents serious privacy challenges. User activities can be continuously monitored in both digital and physical realms. Gathered data can be aggregated and analysed, revealing aspects of user behaviour that may not be apparent from a single data point. The very items that facilitate connectivity simultaneously increase the risk of privacy breaches. The data gathered to provide services can also be used for monitoring and surveillance. This paper discerns three novel categories of privacy concerns relating to pervasive user data collection: privacy and user activity in cyberspace, privacy in personal cyber–physical systems, and privacy in proactive user-driven data collection. We emphasise the primary challenges, ranging from identity tracking in browsing histories to intricate issues in opportunistic networks, situating each within practical, real-world scenarios. Furthermore, we assess the effectiveness of current countermeasures, investigating their strengths and limitations. This paper explores the challenges in preserving privacy in user interactions with dynamic interconnected systems and suggests countermeasures to mitigate identified privacy risks.