A Colonel Blotto Game for Anti-Jamming in the Internet of Things

Labib, Mina; Ha, Sean; Saad, Walid; Reed, Jeffrey H.

doi:10.1109/glocom.2014.7417437

Cited by 10 publications

(18 citation statements)

References 13 publications

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“…As we mentioned before, using spread-spectrum techniques is an efficient way to avoid jamming, although they can not be applied in IoT nodes with limited resources (e.g., sensor). In this field 5G does not deploy revolutionary new solutions-besides a few ones-although Labib et al in [95] proposed a solution where a fusion center defenses nodes from jamming attacks over a 5G network.…”

Section: Low-powered Security Enhancements In 5gmentioning

confidence: 99%

5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps

Varga

Pető

Frankó

et al. 2020

Sensors

186

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Industrial IoT has special communication requirements, including high reliability, low latency, flexibility, and security. These are instinctively provided by the 5G mobile technology, making it a successful candidate for supporting Industrial IoT (IIoT) scenarios. The aim of this paper is to identify current research challenges and solutions in relation to 5G-enabled Industrial IoT, based on the initial requirements and promises of both domains. The methodology of the paper follows the steps of surveying state-of-the art, comparing results to identify further challenges, and drawing conclusions as lessons learned for each research domain. These areas include IIoT applications and their requirements; mobile edge cloud; back-end performance tuning; network function virtualization; and security, blockchains for IIoT, Artificial Intelligence support for 5G, and private campus networks. Beside surveying the current challenges and solutions, the paper aims to provide meaningful comparisons for each of these areas (in relation to 5G-enabled IIoT) to draw conclusions on current research gaps.

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Section: Low-powered Security Enhancements In 5gmentioning

confidence: 99%

5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps

Varga

Pető

Frankó

et al. 2020

Sensors

186

View full text Add to dashboard Cite

show abstract

“…The maximization problem can be established as a two-stage stochastic binary linear program. It is worth mentioning that the interference is a continuous random variable that is highly-correlated over time [1,[10][11][12][13][14][15]. Thus, our optimization problem has an infinite realizations.…”

Section: (B) Contributionsmentioning

confidence: 99%

Dynamic resource allocation for opportunistic software-defined IoT networks: stochastic optimization framework

Alnabelsi

Albataineh

2020

IJECE

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Several wireless technologies have recently emerged to enable efficient and scalable internet-of-things (IoT) networking. Cognitive radio (CR) technology, enabled by software-defined radios, is considered one of the main IoT-enabling technologies that can provide opportunistic wireless access to a large number of connected IoT devices. An important challenge in this domain is how to dynamically enable IoT transmissions while achieving efficient spectrum usage with a minimum total power consumption under interference and traffic demand uncertainty. Toward this end, we propose a dynamic bandwidth/channel/power allocation algorithm that aims at maximizing the overall network’s throughput while selecting the set of power resulting in the minimum total transmission power. This problem can be formulated as a two-stage binary linear stochastic programming. Because the interference over different channels is a continuous random variable and noting that the interference statistics are highly correlated, a suboptimal sampling solution is proposed. Our proposed algorithm is an adaptive algorithm that is to be periodically conducted over time to consider the changes of the channel and interference conditions. Numerical results indicate that our proposed algorithm significantly increases the number of simultaneous IoT transmissions compared to a typical algorithm, and hence, the achieved throughput is improved.

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“…A probabilistic spectrum assignment algorithm, which aims at minimizing the packet invalidity ratio of each CR transmission subject to delay constraints, is presented. In the works of Labib et al and Namvar et al, antijamming solutions that involve the use of a specialized gaming algorithm are presented. In the work of Labib et al, IoT nodes have built‐in interference sensors and they report their interference results to a fusion center, which detects jamming attacks according to certain threshold measures.…”

Section: Related Workmentioning

confidence: 99%

“…In the works of Labib et al and Namvar et al, antijamming solutions that involve the use of a specialized gaming algorithm are presented. In the work of Labib et al, IoT nodes have built‐in interference sensors and they report their interference results to a fusion center, which detects jamming attacks according to certain threshold measures. In the work of Namvar et al, the authors presented an antijamming mechanism for OFDM‐based IoT networks.…”

Section: Related Workmentioning

confidence: 99%

Batch‐based security‐aware spectrum sharing with simultaneous assignment decisions in time‐critical IoT networks with cognitive radio capabilities

Almajali

Ayyash

Elgala

2018

Trans Emerging Tel Tech

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Cognitive radio (CR) is considered as a key enabling communication technology that offers efficient wireless connectivity to Internet of Things (IoT) devices. Its integration with the future 5G architecture is expected to advance the IoT paradigm. Security attacks can severely degrade the performance of such CR‐based IoT (CRIoT) networks. The effect of security attacks can be reduced by implementing defensive approaches. However, such solutions come at the expense of degrading spectrum efficiency and consuming more network resources. In this paper, we investigate the spectrum sharing and access problem in a multidevice single‐transceiver CRIoT network with time‐critical applications under jamming attacks. Our main goal is to maximize the number of simultaneously served IoT devices over all available idle channels while ensuring delay requirement, hardware, link quality, security attacks, and spectrum utilization constraints. This problem is formulated as a total unimodular binary linear programming, which is shown to be solvable in polynomial time. Unlike most of previous security‐aware channel assignment solutions that conduct the channel assignment sequentially, our solution simultaneously provides secured distributed channel‐assignment decisions for multiple CRIoT links (batching method). Batching can be realized through an admission control stage for CR IoT devices to announce their control packets. Simulation results reveal that our solution significantly improves network performance compared to previous security‐aware schemes.

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A Colonel Blotto Game for Anti-Jamming in the Internet of Things

Cited by 10 publications

References 13 publications

5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps

5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps

Dynamic resource allocation for opportunistic software-defined IoT networks: stochastic optimization framework

Batch‐based security‐aware spectrum sharing with simultaneous assignment decisions in time‐critical IoT networks with cognitive radio capabilities

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