hrcak mascot   Srce   HID

Izvorni znanstveni članak
https://doi.org/10.17559/TV-20160304070312

Users Collaborative Mix-Zone to Resist the Query Content and Time Interval Correlation Attacks

Zhang Lei   ORCID icon orcid.org/0000-0001-5532-8423 ; College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China
Ma Chun-Guang ; College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China
Yang Song-Tao ; College of Information and Electronic Technology, Jiamusi University, Jiamusi 154007, China
Zheng Xiao-Dong ; College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China

Puni tekst: engleski, pdf (1 MB) str. 962-969 preuzimanja: 199* citiraj
APA 6th Edition
Lei, Z., Chun-Guang, M., Song-Tao, Y. i Xiao-Dong, Z. (2018). Users Collaborative Mix-Zone to Resist the Query Content and Time Interval Correlation Attacks. Tehnički vjesnik, 25 (4), 962-969. https://doi.org/10.17559/TV-20160304070312
MLA 8th Edition
Lei, Zhang, et al. "Users Collaborative Mix-Zone to Resist the Query Content and Time Interval Correlation Attacks." Tehnički vjesnik, vol. 25, br. 4, 2018, str. 962-969. https://doi.org/10.17559/TV-20160304070312. Citirano 15.11.2019.
Chicago 17th Edition
Lei, Zhang, Ma Chun-Guang, Yang Song-Tao i Zheng Xiao-Dong. "Users Collaborative Mix-Zone to Resist the Query Content and Time Interval Correlation Attacks." Tehnički vjesnik 25, br. 4 (2018): 962-969. https://doi.org/10.17559/TV-20160304070312
Harvard
Lei, Z., et al. (2018). 'Users Collaborative Mix-Zone to Resist the Query Content and Time Interval Correlation Attacks', Tehnički vjesnik, 25(4), str. 962-969. https://doi.org/10.17559/TV-20160304070312
Vancouver
Lei Z, Chun-Guang M, Song-Tao Y, Xiao-Dong Z. Users Collaborative Mix-Zone to Resist the Query Content and Time Interval Correlation Attacks. Tehnički vjesnik [Internet]. 2018 [pristupljeno 15.11.2019.];25(4):962-969. https://doi.org/10.17559/TV-20160304070312
IEEE
Z. Lei, M. Chun-Guang, Y. Song-Tao i Z. Xiao-Dong, "Users Collaborative Mix-Zone to Resist the Query Content and Time Interval Correlation Attacks", Tehnički vjesnik, vol.25, br. 4, str. 962-969, 2018. [Online]. https://doi.org/10.17559/TV-20160304070312

Sažetak
In location-based services of continuous query, it is easier than snapshot to confirm whether a location belongs to a particular user, because sole location can be composed into a trajectory by profile correlation. In order to cut off the correlation and disturb the sub-trajectory, an un-detective region called mix-zone was proposed. However, at the time of this writing, the existing algorithms of this type mainly focus on the profiles of ID, passing time, transition probability, mobility patterns as well as road characteristics. In addition, there is still no standard way of coping with attacks of correlating each location by mining out query content and time interval from the sub-trajectory. To cope with such types of attack, users have to generalize their query contents and time intervals similarity. Hence, this paper first provided an attack model to simulate the adversary correlating the real location with a higher probability of query content and time interval similarity. Then a user collaboration mix-zone (CoMix) that can generalize these two types of profiles is proposed, so as to achieve location privacy. In CoMix, each user shares the common profile set to lowering the probability of success opponents to get the actual position through the correlation of location. Thirdly, entropy is utilized to measure the level of privacy preservation. At last, this paper further verifies the effectiveness and efficiency of the proposed algorithm by experimental evaluations.

Ključne riječi
continuous location-based services; correlation attack; generalize profile; user collaborative mix-zone

Hrčak ID: 204439

URI
https://hrcak.srce.hr/204439

Posjeta: 363 *