@article {rios2022cpa, title = {Constrained Proximity Attacks on Mobile Targets}, journal = {ACM Transactions on Privacy and Security (TOPS)}, volume = {25}, number = {10}, year = {2022}, month = {05/2022}, pages = {1 - 29}, publisher = {Association for Computer Machinery (ACM)}, abstract = {

Proximity attacks allow an adversary to uncover the location of a victim by repeatedly issuing queries with fake location data. These attacks have been mostly studied in scenarios where victims remain static and there are no constraints that limit the actions of the attacker. In such a setting, it is not difficult for the attacker to locate a particular victim and quantifying the effort for doing so is straightforward. However, it is far more realistic to consider scenarios where potential victims present a particular mobility pattern. In this paper, we consider abstract (constrained and unconstrained) attacks on services that provide location information on other users in the proximity. We derive strategies for constrained and unconstrained attackers, and show that when unconstrained they can practically achieve success with theoretically optimal effort. We then propose a simple yet effective constraint that may be employed by a proximity service (for example, running in the cloud or using a suitable two-party protocol) as countermeasure to increase the effort for the attacker several orders of magnitude both in simulated and real-world cases.

}, keywords = {Location Privacy, mobility pattern, proximity attacks, quantification}, issn = {2471-2566}, doi = {10.1145/3498543}, author = {Xueou Wang and Xiaolu Hou and Ruben Rios and Nils Ole Tippenhauer and Martin Ochoa} } @inproceedings {431, title = {A Context-based Parametric Relationship Model (CPRM) to Measure the Security and QoS tradeoff in Configurable Environments}, booktitle = {IEEE International Conference on Communications (ICC{\textquoteright}14)}, year = {2014}, month = {06/2014}, pages = {755-760}, publisher = {IEEE Communications Society}, organization = {IEEE Communications Society}, address = {Sydney (Australia)}, abstract = {

Heterogeneity of future networks requires the use of extensible models to understand the Security and QoS tradeoff. We believe that a good starting point is to analyze the Security and QoS tradeoff from a parametric point of view and, for this reason, in a previous paper, we defined the Parametric Rela- tionship Model (PRM) to define relationships between Security and QoS parameters. In this paper, we extend that approach in order to change the behaviour of the model so that different contexts in the same system are considered; that is, to provide a Context-based Parametric Relationship Model (CPRM). The final aim is to provide useful tools for system administrators in order to help them deal with Security and QoS tradeoff issues in the configuration of the environment.\ 

}, isbn = {978-1-4799-2003-7}, doi = {10.1109/ICC.2014.6883410}, author = {Ana Nieto and Javier Lopez} }