Biblio

Export results:
[ Author(Asc)] Title Type Year
Filters: First Letter Of Last Name is W  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
W
A. Winfield, J. Sa, C. Fernandez-Gago, C. Dixon, and M. Fisher, "On the Formal Specification of Emergent Behaviours of Swarm Robotics Systems",
International Journal of Advanced Robotics Systems, vol. 2, SAGE Publishing, pp. 363-371, 2005. DOI More..

Abstract

It is a characteristic of swarm robotics that specifying overall emergent swarm behaviours in terms of the low-level behaviours of individual robots is very difficult. Yet if swarm robotics is to make the transition from the laboratory to real-world engineering realisation we need such specifications. This paper explores the use of temporal logic to formally specify, and possibly also prove, the emergent behaviours of a robotic swarm. The paper makes use of a simplified wireless connected swarm as a case study with which to illustrate the approach. Such a formal approach could be an important step toward a disciplined design methodology for swarm robotics.

X. Wang, et al., "Location Proximity Attacks against Mobile Targets: Analytical Bounds and Attacker Strategies",
23rd European Symposium on Research in Computer Security (ESORICS 2018), LNCS 11099, Springer, pp. 373-392, 2018. DOI More..

Abstract

Location privacy has mostly focused on scenarios where users remain static. However, investigating scenarios where the victims present a particular mobility pattern is more realistic. In this paper, we consider abstract attacks on services that provide location information on other users in the proximity. In that setting, we quantify the required effort of the attacker to localize a particular mobile victim. We prove upper and lower bounds for the effort of an optimal attacker. We experimentally show that a Linear Jump Strategy (LJS) practically achieves the upper bounds for almost uniform initial distributions of victims. To improve performance for less uniform distributions known to the attacker, we propose a Greedy Updating Attack Strategy (GUAS). Finally, we derive a realistic mobility model from a real-world dataset and discuss the performance of our strategies in that setting.

PDF icon rios2018mob.pdf (398.3 KB)