TY - JOUR
T1 - On the Secure and Reconfigurable Multi-Layer Network Design for Critical Information Dissemination in the Internet of Battlefield Things (IoBT)
AU - Farooq, Muhammad Junaid
AU - Zhu, Quanyan
N1 - Funding Information:
Manuscript received March 1, 2017; revised August 29, 2017 and November 12, 2017; accepted January 11, 2018. Date of publication February 2, 2018; date of current version April 8, 2018. This work was supported in part by the DHS Grant from the National Science of Foundation through Critical Infrastructure Resilience Institute under Grant CNS-1544782 and Grant SES-1541164, and in part by the Department of Energy under Grant DE-NE0008571. A part of this paper was presented at the 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, Paris, France, May 2017 [1]. The associate editor coordinating the review of this paper and approving it for publication was M. Li. (Corresponding author: Muhammad Junaid Farooq.) The authors are with the Department of Electrical & Computer Engineering, New York University Tandon School of Engineering, Brooklyn, NY 11201 USA (e-mail: mjf514@nyu.edu; qz494@nyu.edu).
Funding Information:
His current research interests include Internet of things, cyber-physical systems, security and privacy, and system and control. He was a recipient of many awards, including the NSERC Canada Graduate Scholarship, Mavis Future Faculty Fellowships, and the NSERC Post-Doctoral Fellowship.
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/4
Y1 - 2018/4
N2 - The Internet of things (IoT) is revolutionizing the management and control of automated systems leading to a paradigm shift in areas, such as smart homes, smart cities, health care, and transportation. The IoT technology is also envisioned to play an important role in improving the effectiveness of military operations in battlefields. The interconnection of combat equipment and other battlefield resources for coordinated automated decisions is referred to as the Internet of battlefield things (IoBT). IoBT networks are significantly different from traditional IoT networks due to battlefield specific challenges, such as the absence of communication infrastructure, heterogeneity of devices, and susceptibility to cyber-physical attacks. The combat efficiency and coordinated decision-making in war scenarios depends highly on real-Time data collection, which in turn relies on the connectivity of the network and information dissemination in the presence of adversaries. This paper aims to build the theoretical foundations of designing secure and reconfigurable IoBT networks. Leveraging the theories of stochastic geometry and mathematical epidemiology, we develop an integrated framework to quantify the information dissemination among heterogeneous network devices. Consequently, a tractable optimization problem is formulated that can assist commanders in cost effectively planning the network and reconfiguring it according to the changing mission requirements.
AB - The Internet of things (IoT) is revolutionizing the management and control of automated systems leading to a paradigm shift in areas, such as smart homes, smart cities, health care, and transportation. The IoT technology is also envisioned to play an important role in improving the effectiveness of military operations in battlefields. The interconnection of combat equipment and other battlefield resources for coordinated automated decisions is referred to as the Internet of battlefield things (IoBT). IoBT networks are significantly different from traditional IoT networks due to battlefield specific challenges, such as the absence of communication infrastructure, heterogeneity of devices, and susceptibility to cyber-physical attacks. The combat efficiency and coordinated decision-making in war scenarios depends highly on real-Time data collection, which in turn relies on the connectivity of the network and information dissemination in the presence of adversaries. This paper aims to build the theoretical foundations of designing secure and reconfigurable IoBT networks. Leveraging the theories of stochastic geometry and mathematical epidemiology, we develop an integrated framework to quantify the information dissemination among heterogeneous network devices. Consequently, a tractable optimization problem is formulated that can assist commanders in cost effectively planning the network and reconfiguring it according to the changing mission requirements.
KW - Battlefield
KW - Internet of Things
KW - Poisson point process
KW - epidemics
KW - multiplex networks
KW - random geometric graph
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U2 - 10.1109/TWC.2018.2799860
DO - 10.1109/TWC.2018.2799860
M3 - Article
AN - SCOPUS:85041639813
SN - 1536-1276
VL - 17
SP - 2618
EP - 2632
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 4
ER -