Yaniv Altshuler

TL;DR: In this paper, a system for using a collective computing power of a plurality of network stations in a communication network in order to overcome threats generated by malicious applications is presented, where a large group of simple network stations implement a vaccination mechanism, proliferating information concerning malicious applications (malwares) throughout the network in an efficient manner.

TL;DR: This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling UAV swarms, focusing on its applications for tactic intelligence drones.

TL;DR: In this article, a method for job selection and resource allocation of massively parallel processors is proposed, which includes: providing to a constraint satisfaction problem solver multiple domains, variables, and constraints representative of a massively parallel processor, of queued job requests and of jobs being processed by the massive parallel processor.

TL;DR: An efficient collaborative application monitoring algorithm called "TPP" - Time-To-Live Probabilistic Flooding, harnessing the collective resources of many mobile devices, and its time and messages complexity are shown to be significantly lower compared to existing state of the art information propagation algorithms.

TL;DR: The results of this analysis demonstrate the significant volatility of ride-sharing utilization over time, indicating that any policy, design, or plan that would disregard this aspect and chose a static paradigm would undoubtably be either highly inefficient or provide insufficient resources.