L2P2: A location-label based approach for privacy preserving in LBS

Abstract

Abstract:The developments in positioning and mobile communication technology have made the location-based service (LBS) applications more and more popular. For privacy reasons and due to lack of trust in the LBS providers, k-anonymity and l-diversity techniques have been widely used to preserve privacy of users in distributed LBS architectures in Internet of Things (IoT). However, in reality, there are scenarios where the locations of users are identical or similar/near each other in IoT. In such scenarios the k locations selected by k-anonymity technique are the same and location privacy can be easily compromised or leaked. To address the issue of privacy preservation, in this paper, we introduce the location labels to distinguish locations of mobile users to sensitive and ordinary locations. We design a location-label based (LLB) algorithm for protecting location privacy of users while minimizing the response time for LBS requests. We also evaluate the performance and validate the correctness of the proposed algorithm through extensive simulations.

Privacy-preserving fusion of IoT and big data for e-health

“…Since the element bit length in Z p is less than that in G, the size of access policy update query in our system is less than that in [31,32,33]. (2) The sizes of keyword index in schemes [34,35] are (2l 1 + 2|S| + 1)|G| and (l 1 + 2|S| + 2)|G|, respectively. That in in our system is (l 1 )|Z p | + |G|, which is less that the other schemes [34,35].…”

“…Table 10 shows the computation cost for keyword index generation and keyword match test. (1) The schemes in [34,35] require e 1 and (2l 2 )e p to generate encrypted keyword index, while the computation cost of that in our system is one exponentiation operation in group G. (2) In the keyword match test phase, our system consumes one exponentiation operation in group G T , which is much smaller than the computation costs in other schemes [34,35].…”

“…The rapid development of Internet of Things (IoT) [1,2] has greatly changed our daily life, especially in the electronic health (e-health) domain [3]. The patients with chronic diseases or severe illnesses are equipped with implanted or on the surface medical sensors to monitor various kinds of physiological data.…”

Pseudonym changing strategy with multiple mix zones for trajectory privacy protection in road networks

“…So forth, a very high primacy for the sake of channel access would be given to the apps that might deliver these type of messages in order to ensure effective road security measures . Additionally, warning messages, real‐time traffic danger information that might be revealed inside maps and navigation system and disseminated by the RSU, might also be very important in order to provide prompt substitute for driving journeys . We can define road network as a type of mobile adhoc network that might present a plenty of services that might not only associated with road safety but also very helpful for infotainment services.…”

“…2 Additionally, warning messages, real-time traffic danger information that might be revealed inside maps and navigation system and disseminated by the RSU, might also be very important in order to provide prompt substitute for driving journeys. 22 We can define road network as a type of mobile adhoc network that might present a plenty of services that might not only associated with road safety but also very helpful for infotainment services. Moreover, RSU can play a key role for the drivers by disseminating traffic information, climatological, and geographical data.…”