Shortfall-Based Optimal Security Provisioning for Internet of Things

Antonino Rullo; Edoardo Serra; Elisa Bertino; Jorge Lobo

doi:10.1109/ICDCS.2017.12

Shortfall-Based Optimal Security Provisioning for Internet of Things

Antonino Rullo, Edoardo Serra, Elisa Bertino, Jorge Lobo

Computer Science Department

Research output: Chapter in Book/Report/Conference proceeding › Chapter

3 Scopus citations

Abstract

We present a formal method for computing the best security provisioning for Internet of Things (IoT) scenarios characterized by a high degree of mobility. The security infrastructure is intended as 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. We employ the shortfall as a risk measure, a concept mostly used in the economics, and adapt it to our scenario. We show how to compute and evaluate an allocation plan, and how such security solutions address the continuous topology changes that affect an IoT environment.

Original language	American English
Title of host publication	Proceedings: IEEE 37th International Conference on Distributed Computing Systems
DOIs	https://doi.org/10.1109/ICDCS.2017.12
State	Published - 1 Jan 2017

Keywords

Internet of Things
Pareto optimization
network security
stochastic allocation

EGS Disciplines

Computer Sciences

Access to Document

10.1109/ICDCS.2017.12License: Unspecified

https://doi.org/10.1109/ICDCS.2017.12

Cite this

@inbook{5d2459f26f914754bd72710f47499eb7,

title = "Shortfall-Based Optimal Security Provisioning for Internet of Things",

abstract = " We present a formal method for computing the best security provisioning for Internet of Things (IoT) scenarios characterized by a high degree of mobility. The security infrastructure is intended as 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. We employ the shortfall as a risk measure, a concept mostly used in the economics, and adapt it to our scenario. We show how to compute and evaluate an allocation plan, and how such security solutions address the continuous topology changes that affect an IoT environment.",

keywords = "Internet of Things, Pareto optimization, network security, stochastic allocation",

author = "Antonino Rullo and Edoardo Serra and Elisa Bertino and Jorge Lobo",

year = "2017",

month = jan,

day = "1",

doi = "10.1109/ICDCS.2017.12",

language = "American English",

booktitle = "Proceedings: IEEE 37th International Conference on Distributed Computing Systems",

}

TY - CHAP

T1 - Shortfall-Based Optimal Security Provisioning for Internet of Things

AU - Rullo, Antonino

AU - Serra, Edoardo

AU - Bertino, Elisa

AU - Lobo, Jorge

PY - 2017/1/1

Y1 - 2017/1/1

N2 - We present a formal method for computing the best security provisioning for Internet of Things (IoT) scenarios characterized by a high degree of mobility. The security infrastructure is intended as 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. We employ the shortfall as a risk measure, a concept mostly used in the economics, and adapt it to our scenario. We show how to compute and evaluate an allocation plan, and how such security solutions address the continuous topology changes that affect an IoT environment.

AB - We present a formal method for computing the best security provisioning for Internet of Things (IoT) scenarios characterized by a high degree of mobility. The security infrastructure is intended as 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. We employ the shortfall as a risk measure, a concept mostly used in the economics, and adapt it to our scenario. We show how to compute and evaluate an allocation plan, and how such security solutions address the continuous topology changes that affect an IoT environment.

KW - Internet of Things

KW - Pareto optimization

KW - network security

KW - stochastic allocation

UR - https://scholarworks.boisestate.edu/cs_facpubs/105

UR - https://doi.org/10.1109/ICDCS.2017.12

U2 - 10.1109/ICDCS.2017.12

DO - 10.1109/ICDCS.2017.12

M3 - Chapter

BT - Proceedings: IEEE 37th International Conference on Distributed Computing Systems

ER -

Shortfall-Based Optimal Security Provisioning for Internet of Things

Abstract

Keywords

EGS Disciplines

Access to Document

Other files and links

Fingerprint

Cite this