Backbones for Internet of Battlefield Things

Papakostas, Dimitrios; Kasidakis, Theodoros; Fragkou, Evangelia; Katsaros, Dimitrios

doi:10.23919/wons51326.2021.9415560

Cited by 7 publications

(3 citation statements)

References 28 publications

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“…The interconnection has the devices quantitatively facilitated through the IoBT network [16]. The typical battlefield environment comprises various factors; armed vehicles, soldiers, and aircraft face the risks expressed through physical and cyber-attacks [21]. The attacks can destroy the various channel medium within the various data packets, formulating the equipment challenge in transmitting real-time data and the inability to receive the latest operation command.…”

Section: Network Model Architecturementioning

confidence: 99%

“…Computation of the minimum dominating set (MDS) utilizes the integer programming with the CDS construction aspects entailing the DS computation from the minute per-node constituent nodes within a 2-hop neighborhood [11]. The respective node covers the communication facilitated by the DS nodes [21]. The ultimate parts comprise eliminating the repetitive DS nodes by discovering the redundant parts within the network, facilitating the information flow across the system.…”

Section: Algorithmsmentioning

confidence: 99%

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Practical Applications to Prevent Cyberattacks on Internet on Battlefield Things (IoBT)

Sharma¹,

Najjar²,

Subramaniam³

2023

Advanced Information Technologies and Applications

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Technological advancement has contributed to the Internet of Things (IoT), resulting in the Internet of Battlefields (IoBT). The IoBT has contributed to the advancement in coordinating various military operations and improving the equipment and battlefield operations. IoBT has overcome the challenges on the battlefield by overcoming the challenges within communication infrastructure and device heterogeneity. The stochastic geometry and mathematical formulas form the effective model of the coordination of security within the network. The architectural model contains the network geometry coordinated within the intra and inter-layers of the network. The network coordination utilizes the various algorithms necessary for the build-up of the technology as characterized by the heuristic algorithm.

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Section: Network Model Architecturementioning

confidence: 99%

Section: Algorithmsmentioning

confidence: 99%

Practical Applications to Prevent Cyberattacks on Internet on Battlefield Things (IoBT)

Sharma¹,

Najjar²,

Subramaniam³

2023

Advanced Information Technologies and Applications

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“…These deployments make up the so-called Internet of Battlefield Things (IoBT) [1], which combines the Internet of Things (IoT) characteristics with the requirements of military scenarios where properties such as security, privacy, and availability are even more critical than in civil scenarios. The dynamism of the IoBT, where troops, vehicles, and military equipment are constantly moving, requires wireless communications [2]. Here, Cognitive Radio Networks (CRN) [3] play a key role, endowing communications with programmability and high mobility in terms of used frequencies.…”

Section: Introductionmentioning

confidence: 99%

SpecForce: A Framework to Secure IoT Spectrum Sensors in the Internet of Battlefield Things

Sánchez

Celdrán

Bovet³

et al. 2023

IEEE Commun. Mag.

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The battlefield has evolved into a mobile and dynamic scenario where soldiers and heterogeneous military equipment exchange information in real-time and wirelessly. This fact brings to reality the Internet of Battlefield Things (IoBT). Wireless communications are key enablers for the IoBT, and their management is critical due to the spectrum scarcity and the increasing number of IoBT devices. In this sense, IoBT spectrum sensors are deployed on the battlefield to monitor the frequency spectrum, transmit over unoccupied bands, intercept enemy transmissions, or decode valuable information. However, IoBT spectrum sensors are vulnerable to heterogeneous cyber-attacks, and their accurate detection is an open challenge in the literature. Thus, this paper presents SpecForce, a security framework for IoBT spectrum sensors based on device behavioral fingerprinting and ML/DL techniques. SpecForce considers heterogeneous data sources to detect the most dangerous and recent cyber-attacks affecting IoBT spectrum sensors, such as impersonation, malware, and spectrum sensing data falsification attacks. To evaluate the SpecForce detection performance, it has been deployed on 25 real spectrum sensors, and results show almost perfect detection for the three cyber-attack families previously mentioned.

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The Cloud Continuum for Military Deployable Networks: Challenges and Opportunities

Rojas¹,

Lopez-Pajares²,

Alvarez-Horcajo³

et al. 2023

Lecture Notes in Computer Science

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Backbones for Internet of Battlefield Things

Cited by 7 publications

References 28 publications

Practical Applications to Prevent Cyberattacks on Internet on Battlefield Things (IoBT)

Practical Applications to Prevent Cyberattacks on Internet on Battlefield Things (IoBT)

SpecForce: A Framework to Secure IoT Spectrum Sensors in the Internet of Battlefield Things

The Cloud Continuum for Military Deployable Networks: Challenges and Opportunities

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