Abstract Internet of Things (IoT) technology is starting to make an impact in a wide array of
applications, including smart cities and industrial environments. Such real-world …

User trust is an important factor in the success of recommendation systems, including
Internet of Things (IoT)-based recommendation systems. However, such trust can be eroded …

Security and privacy are hot topics when considering the Internet of Things (IoT) application
scenarios. By dealing with sensitive and sometimes personal data, IoT application …

In mobile business (m-business), a client sends its exact locations to service providers. This
data may involve sensitive and private personal information. As a result, misuse of location …

The pervasive use of smart devices in everyday life has increased the risk of theft and
cyberattacks, necessitating robust and continuous behavioral authentication techniques …

Locationbased services (LBS) use geospatial data of mobile device to provide information in
real time. A key concern in using these services is the need to reveal the user's exact …

Location-based services (LBSs) are everywhere; we found them in several fields such as
healthcare, entertainment, transportation, and many other daily activities. Besides, along …

Differential privacy (DP) provides a rigorous and provable privacy guarantee and assumes
adversaries' arbitrary background knowledge, which makes it distinct from prior work in …

The adoption of the Internet of Things (IoT) in smart environments demands ad vances to
cope with the large heterogeneity of IoT entities (ie, systems, applications, and devices) …

In this era of digital surveillance and data breaches, it is important to understand how users
protect their smartphone privacy. There needs to be more detailed information regarding the …