TY - GEN
T1 - An analysis of tracking settings in blackberry 10 and windows phone 8 smartphones
AU - Rahulamathavan, Yogachandran
AU - Moonsamy, Veelasha
AU - Batten, Lynn
AU - Shunliang, Su
AU - Rajarajan, Muttukrishnan
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2014
Y1 - 2014
N2 - The use of tracking settings in smartphones facilitates the provision of tailored services to users by allowing service providers access to unique identifiers stored on the smartphones. In this paper, we investigate the 'tracking off' settings on the Blackberry 10 and Windows Phone 8 platforms. To determine if they work as claimed, we set up a test bed suitable for both operating systems to capture traffic between the smartphone and external servers. We dynamically execute a set of similar Blackberry 10 and Windows Phone 8 applications, downloaded from their respective official markets. Our results indicate that even if users turn off tracking settings in their smartphones, some applications leak unique identifiers without their knowledge. © 2014 Springer International Publishing Switzerland.
AB - The use of tracking settings in smartphones facilitates the provision of tailored services to users by allowing service providers access to unique identifiers stored on the smartphones. In this paper, we investigate the 'tracking off' settings on the Blackberry 10 and Windows Phone 8 platforms. To determine if they work as claimed, we set up a test bed suitable for both operating systems to capture traffic between the smartphone and external servers. We dynamically execute a set of similar Blackberry 10 and Windows Phone 8 applications, downloaded from their respective official markets. Our results indicate that even if users turn off tracking settings in their smartphones, some applications leak unique identifiers without their knowledge. © 2014 Springer International Publishing Switzerland.
UR - https://www.scopus.com/pages/publications/84904191937
UR - https://www.scopus.com/pages/publications/84904191937#tab=impact
U2 - 10.1007/978-3-319-08344-5_29
DO - 10.1007/978-3-319-08344-5_29
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9783319083438
VL - 8544 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 430
EP - 437
BT - Information Security and Privacy - 19th Australasian Conference, ACISP 2014, Proceedings
PB - Springer Verlag
T2 - 19th Australasian Conference on Information Security and Privacy, ACISP 2014
Y2 - 7 July 2014 through 9 July 2014
ER -