4.5 Article

Privacy Protection for Preventing Data Over-Collection in Smart City

Journal

IEEE TRANSACTIONS ON COMPUTERS
Volume 65, Issue 5, Pages 1339-1350

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TC.2015.2470247

Keywords

Smart city; smartphone; cyber security and privacy; data over-collection

Funding

  1. International Science and Technology Cooperation Program of China [2014DFR70730]
  2. Public Science and Technology Research Funds Projects of Ocean [201205036-04]
  3. National Natural Science Foundation of China (NSFC) [61170077]
  4. NSF [10351806001000000, 2012B091100198, JCYJ20130326110956468]
  5. National Science Foundation (NSF) [CNS-1457506]
  6. university collaboration fund [F26119]
  7. Direct For Computer & Info Scie & Enginr
  8. Division Of Computer and Network Systems [1457506] Funding Source: National Science Foundation

Ask authors/readers for more resources

In smart city, all kinds of users' data are stored in electronic devices to make everything intelligent. A smartphone is the most widely used electronic device and it is the pivot of all smart systems. However, current smartphones are not competent to manage users' sensitive data, and they are facing the privacy leakage caused by data over-collection. Data over-collection, which means smartphones apps collect users' data more than its original function while within the permission scope, is rapidly becoming one of the most serious potential security hazards in smart city. In this paper, we study the current state of data over-collection and study some most frequent data over-collected cases. We present a mobile-cloud framework, which is an active approach to eradicate the data over-collection. By putting all users' data into a cloud, the security of users' data can be greatly improved. We have done extensive experiments and the experimental results have demonstrated the effectiveness of our approach.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available