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Online Social Networks and Social Network Services: A Technical Survey
Published in Syed Ijlal Ali Shah, Mohammad Ilyas, Hussein T. Mouftah, Pervasive Communications Handbook, 2017
Huangmao Quan, Jie Wu, Yuan Shi
One obvious advantage of mobile social networking is context sensitivity, which means, in terms of places, time, and people makes services more information-sensitive. Mobile devices can collect more personal information than normal PCs, such as locations and contacts. By adding various sensors into mobile devices, new types of applications can go beyond the existing domains. Location-based services (LBSs) are among the most popular ones. An LBS is an information and entertainment service, accessible using mobile devices through the mobile networking, which utilizes the ability to make use of the geographical position of the mobile device. It can be used in a variety of contexts, such as health, work, personal life, and so on. LBS services include services of identifying a location of a person or object, such as discovering the nearest ATM or the whereabouts of a friend or employee. LBS services include parcel-tracking and vehicle-tracking services. LBS can include mobile commerce when taking the form of coupons or advertising directed at customers, based on their current location. They include personalized weather services and even location-based games.
Security and Privacy in Location-Based Services
Published in Hassan A. Karimi, Advanced Location-Based Technologies and Services, 2016
Mohd Anwar, Amirreza Masoumzadeh, James Joshi
An LBS user may provide his current location or have his mobile device (e.g., smart-phone) automatically transmit location information to an LBS provider. Sometimes, computing a user’s location may involve revealing his location information to third parties, namely location providers. For example, the cell phone provider may be a location provider, or a geoenabled browser like Google Chrome may play the role of a location provider. There are different positioning technologies, such as GPS, WiFi, and cellular radio, that can be used to determine a user’s location (e.g., longitude and latitude) in location-enabled mobile devices. A location provider may also translate coarse location information to a geolocation or an exact physical address.
TL-diversity: Type of L-diversity for privacy protection of the clients within the cloaking area
Published in Kennis Chan, Testing and Measurement: Techniques and Applications, 2015
D.H. Song, J.W. Sim, B.S. Kim, K.J. Park, J.M. Kang, D.H. Sin, I.J. Lee, M.B. Song
Location-Based Services (LBS) provide information on the geographical position of a user to respond to the user's spatial queries. Typical LBS applications include friend finder, nearest point of interest (POI) query, road navigation, emergency call location, etc. The use of these services, however, poses privacy issues as the user locations and queries are exposed to untrusted LBS entities. Some of them could be malicious and the exposure of the location information might reveal users' identity or other sensitive information [1]. Since it is a key challenge to efficiently preserve user's privacy while accessing LBS, several techniques have been proposed to protect the location privacy of a user. Most user privacy techniques are based on cloaking, which achieves location k-anonymity [2-10]. However, the size of the cloaking area created in a setting where the clients are densely populated is generally small so an adversary can easily infer the client locations. The solution proposed in [2] provides more stringent privacy guarantees for densely populated POIs via Amin that indicates the required minimum area of the cloaked spatial region. In addition, the L-diversity technique that ensures at least L buildings within a cloaking area was proposed in [3]. The TL-diversity proposed in this paper takes into account the types of buildings in a cloaking area in addition to the number of buildings that is addressed in the previous k-anonymity work in [3]. For example, 403
Predicting user-level marketing performance of location-based social networking sites
Published in Journal of Computer Information Systems, 2020
LBSs allow people to use a mobile device to locate a nearby restaurant, a banking cash machine, or a subway station. Today, LBS can be used in conjunction with a mobile commerce application to convey personalized online coupons or advertising content to target customers based on their current location.5 Rao and Minakakis6 argue that information about the end user’s location will be used to deliver relevant, timely, and engaging content and information. LBSs are drawing the attention of businesses as an attractive marketing tool. It can provide relevant time and interesting information and content using data about the locations of mobile device users.6 An empirical study by Harvard Business School Professor Michael Luca7 has found that a business’ Yelp star rating directly impacted its revenues on the restaurant industry. Each star corresponded to a 5–9% effect on a business’ revenues.7
Optimal anonymous location privacy protection algorithm based on grid user density
Published in The Imaging Science Journal, 2020
Yalin Miao, Huanhuan Jia, Yang Zhang, Xuemin Liu, Tiantian Ji
With the popularity of smart mobile devices and high-resolution spatio-temporal data sensors, spatial location technology has been greatly developed. In recent years, based on spatial positioning technology, the application of location based services (LBS) [1] technology using mobile Internet as transmission medium has shown an explosive growth trend. The application of LBS technology is rich and varied, and the integration of ‘LBS+’ and multi-industry development provides more convenient services for people’s clothing, food, housing and transportation, which is widely welcomed by users. Although the emergence and development of LBS service has many potential benefits, it also opens the door to the threat of user privacy. Once the user’s location data is acquired by malicious third party in the transmission process or LBS server terminal, the relevant privacy information is used by the attacker for illegal business transactions, which will not only infringe the privacy of individual users, but also infringe the business secrets of enterprise users. It is conducive to the healthy development of LBS technology.
Determination of most affected areas by earthquakes based on mobile signaling data: a case study of the 2022 Mw 6.6 Luding earthquake, China
Published in Geomatics, Natural Hazards and Risk, 2023
Xinxin Guo, Benyong Wei, Guiwu Su, Wenhua Qi, Tengfei Zhang
In recent years, as the internet and spatial information technologies have developed, LBS (location-based service) systems have gradually developed. LBS is a service system that uses positioning technology to locate mobile terminals; it analyzes the positioned information through internet technology and then responds to the user through the mobile terminal (Huang et al. 2018). Mobile signaling is the communication data between mobile phone users and transmitting base stations or microstations. Mobile signaling data begins to be generated as soon as the phone is turned on. After desensitization, further mining can help determine the most-affected areas and provide emergency relief.