Shortfall-Based Optimal Placement of Security Resources for Mobile IoT Scenarios

Antonino Rullo, Edoardo Serra, Elisa Bertino, Jorge Lobo

Research output: Chapter in Book/Report/Conference proceedingChapter

17 Scopus citations

Abstract

We present a method for computing the best provisioning of security resources for Internet of Things (IoT) scenarios characterized by a high degree of mobility. The security infrastructure is specified by a security resource allocation plan computed as the solution of an optimization problem that minimizes the risk of having IoT devices not monitored by any resource. Due the mobile nature of IoT devices, a probabilistic framework for modeling such scenarios is adopted. We adapt the concept of shortfall from economics as a risk measure and show how to compute and evaluate the quality of an allocation plan. The proposed approach fits well with applications such as vehicular networks, mobile ad-hoc networks, smart cities, or any IoT environment characterized by mobile devices that needs a monitoring infrastructure.

Original languageAmerican English
Title of host publicationEuropean Symposium on Research in Computer Security
DOIs
StatePublished - 1 Jan 2017

Keywords

  • Internet of Things
  • network security
  • stochastic allocation

EGS Disciplines

  • Computer Sciences

Fingerprint

Dive into the research topics of 'Shortfall-Based Optimal Placement of Security Resources for Mobile IoT Scenarios'. Together they form a unique fingerprint.

Cite this