The ubiquity of sensor devices in Internet of Things opens up a large source for sensory data, which has shown great potential in benefiting the industry as well as improving people’s quality of life. Sensory data has become an indispensable component in wide variety of applications, including manufacturing, marketing, healthcare, transportation, entertainment, environmental monitoring, indoor localization, and traffic monitoring, and will continue to play an even more pivotal role in the near future. Smart sensors are being employed in more and more manufacturers. Thanks to sensory data, their efficiency has been substantially increased, product defects have been dramatically reduced, and customers' quality of experience has been improved to a maximum extend. It is worth mentioning that more than 40 percent of data generated from Internet of Things come from sensors. On the other hand, the size of sensory data has already overwhelmed the current ability to collect, store, and analyze them which is one of the major bottlenecks to the further development of IoT applications. More problematically, consumers’ privacy is being seriously threatened by the huge amount of sensory data revealing personal information. Unfortunately, conventional privacy protection methodologies are mainly for small scale or isomorphic data, and they are not effective or efficient for big sensory data. Therefore, corresponding privacy protection technologies and tools are eagerly expected so that people can enjoy the benefits of sensory data with privacy being preserved anytime and anywhere.

This special issue solicits high-quality contributions that focus on designing new technologies and tools to address the privacy issues towards sensory data.

Potential topics include but are not limited to the following:

• Privacy for sensory data applications and implementations 
• Privacy for sensory data collection
• Privacy for sensory data fusion and transformation
• Privacy for sensory data storage management
• Privacy for sensory data sharing and visualization
• Privacy for sensory data access control
• Privacy for sensory data analytics and mining
• Privacy for mobile social networks
• Privacy for vehicular networks
• Privacy and service trade-off for mobile applications
• Business processing and business models for
• Pricing model for sensory data
• Signal processing in the encrypted domain
• Data anonymization
• Privacy versus information sharing trade-offs
• Privacy in wearable devices
• Privacy in smart home and smart city