Engineering Advances Article Recommendation | Innovative Application of the LINDDUN Model in Privacy Protection for Electric Vehicle Users

"When our cars understand us better than our phones, where do we draw the line for personal privacy?" "While enjoying the convenience of smart mobility, are we trading our privacy for so-called 'smart' experiences?" These questions not only touch upon technological ethics but also determine the future direction of personal data security in the digital age.

In the paper Exploration of the Application of the LINDDUN Model in Privacy Protection for Electric Vehicle Users published in Engineering Advances, Mingjie Chen from Carnegie Mellon University systematically analyzes the cutting-edge application of the LINDDUN privacy framework in the electric vehicle sector, offering innovative solutions for privacy protection in the era of smart mobility.

Website Screenshot

The Privacy Dilemma of Smart Cars: The Hidden Cost of Data Collection

Modern electric vehicles are no longer mere means of transportation; they have become "mobile data centers" integrated with hundreds of sensors, continuously collecting user data. From driving habits and frequented locations to charging preferences, this data provides personalized services while also acting as a double-edged sword hanging over users' heads. Traditional data protection solutions often fall short in such complex smart-connected scenarios. The introduction of the LINDDUN model is like lighting a lamp in the fog.

The LINDDUN Model: A New Paradigm for Privacy Protection

Through its systematic seven dimensions of privacy threats—Linkability, Identifiability, Non-repudiation, Detectability, Information Disclosure, Content Awareness, and Policy & Compliance—the LINDDUN model constructs a multi-layered protection system for electric vehicle privacy. It not only identifies potential data leakage risks but also builds privacy mechanisms from the design source. This "privacy by design" philosophy shifts data protection from passive defense to active planning, laying a solid foundation for the healthy development of the smart automotive industry.

Practical Challenges: Bridging Theory and Practice

Despite its strong theoretical advantages, the LINDDUN model still faces numerous challenges in practical application. How to balance data utilization and privacy protection? How to achieve privacy protection without compromising system performance? Addressing these questions requires collaborative efforts from automakers, technology providers, and regulators. Every technological breakthrough involves rethinking existing business models and represents a solemn commitment to user rights.

Future Outlook: Building a Trustworthy Smart Mobility Ecosystem

The application prospects of the LINDDUN model are promising. It has the potential to become a standard feature in smart connected vehicles, safeguarding the data security of hundreds of millions of users; it may drive the establishment of more comprehensive data ethics standards across the industry; more importantly, it will help us maintain the last line of defense for personal privacy while enjoying technological conveniences.

"True intelligence lies not in knowing everything, but in knowing what should be known." In the new era of smart mobility, the LINDDUN model acts like a faithful guardian, guiding the balance between technological innovation and privacy protection. Let us work together to build an intelligent and trustworthy mobility future, where technology truly serves humanity.

The study was published in Engineering Advances

https://www.hillpublisher.com/ArticleDetails/5515

How to cite this paper

Mingjie Chen. (2025). Exploration of the Application of the LINDDUN Model in Privacy Protection for Electric Vehicle Users. Engineering Advances, 5(4), 160-165.

DOI: http://dx.doi.org/10.26855/ea.2025.10.006