Chip-Based symmetric and asymmetric key generation in hierarchical wireless sensors networks

Kumar, K. Naveen; Nene, Manisha J.

doi:10.1109/icisc.2017.8068646

Cited by 11 publications

(4 citation statements)

References 14 publications

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“…Although their scheme is scalable, secure, and lightweight, it shows high communication and computational overhead. On the other hand, Kumar et al [19] proposed a symmetric/asymmetric key predistribution scheme based on a hardware chip, called a Trusted Platform Module (TPM) that is added to the CHs and sensors in the hierarchal WSNs. This chip-based scheme resists physical attacks such as node capture attacks, node injection attacks, and node impersonation attacks.…”

Section: Related Workmentioning

confidence: 99%

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Hierarchical Key Management Scheme with Probabilistic Security in a Wireless Sensor Network (WSN)

Albakri

Harn

Song

2019

Security and Communication Networks

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Securing data transferred over a WSN is required to protect data from being compromised by attackers. Sensors in the WSN must share keys that are utilized to protect data transmitted between sensor nodes. There are several approaches introduced in the literature for key establishment in WSNs. Designing a key distribution/establishment scheme in WSNs is a challenging task due to the limited resources of sensor nodes. Polynomial-based key distribution schemes have been proposed in WSNs to provide a lightweight solution for resource-constraint devices. More importantly, polynomial-based schemes guarantee that a pairwise key exists between two sensors in the WSNs. However, one problem associated with all polynomial-based approaches in WSNs is that they are vulnerable to sensor capture attacks. Specifically, the attacker can compromise the security of the entire network by capturing a fixed number of sensors. In this paper, we propose a novel polynomial-based scheme with a probabilistic security feature that effectively reduces the security risk of sensor-captured attacks and requires minimal memory and computation overhead. Furthermore, our design can be extended to provide hierarchical key management to support data aggregation in WSNs.

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Section: Related Workmentioning

confidence: 99%

“…Instead of adopting a flat key management [13][14][15][16][17][18][19]26], our proposed scheme uses the hierarchical key management model [27,28]. In such models, sensors are distributed into different clusters.…”

Section: Model Of Proposed Schemementioning

confidence: 99%

Hierarchical Key Management Scheme with Probabilistic Security in a Wireless Sensor Network (WSN)

Albakri

Harn

Song

2019

Security and Communication Networks

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“…If an attacker could clone the key of any member node, then such an attacker could mimic the member node to perform malicious activities within the network. Surprisingly, many efforts contributed by various researchers found in [11][12][13][14][15] have not been able to provide a balanced solution to the impending problem. In some cases, the solution to security problems becomes a tradeoff to other factors such as computational overhead, shortened network lifespan, and communication overhead.…”

Section: Introductionmentioning

confidence: 99%

Secret Key Management in Wireless Sensor Network Based on Probabilistic Technique

Bassey,

Johnson,

Umoh

2023

JERR

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Data confidentiality implies that data access is limited to authorized entities only, thus measured data and transmitted data by wireless sensors require optimum security and privacy. Various techniques have been employed to implement effective security mechanisms for a wireless sensor network. However, the arsenal of these potential solutions is useless, considering the constrained nature of the Wireless Sensor Network (WSN) resources in terms of memory, processing and computational capacity. While considering an effective solution for this situation, care must be taken not to trade the desired solution for other factors. This paper considers the implementation of a probabilistic approach for key management in WSN. In the implementation, all kinds of communication within the wireless sensor nodes are presented by forwarding encrypted keys for mutual authentication. A successful authentication opens a communication channel for the communicating nodes. The encrypted keys are computed by generating a polynomial which constitutes the hashed ID concatenated with the master key and Message Authentication Code (MAC) address of the node. The results presented from the simulation of this model are benchmarked with the Dynamically Generated Polynomial (DGP). The proposed model was simulated using MATLAB tools and the comparison of the results obtained shows that the proposed model outperforms the DGP model by 87%, based on the key metrics which are energy consumption, storage and communication overhead.

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“…A principal security feature often entails encrypting transport layer functions, hash functions, network payloads, and IP headers. In order to speed up processing, many laptops, mobile units, and IoT end-point-devices adopt the Trusted Platform Module (TPM) [48]- [50]. In the TPM, a hardware chip assists the communication equipment to store passwords, encryption keys, and digital certificates.…”

Section: Introductionmentioning

confidence: 99%

Physical Layer Security for Beyond 5G: Ultra Secure Low Latency Communications

Yerrapragada

Eisman

Kelley

2021

IEEE Open J. Commun. Soc.

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If Beyond-5G(B5G)/6G is to support critical infrastructure worldwide, there must be an effort to jointly integrate low latency and privacy into wireless protocols. This research analyzes new schemes for securing applications at low latency by extending Physical Layer Security (PLS) algorithms to B5G/6G systems. We design protocols that advance a specific form of Physical Layer Security, known as Key-based Physical Layer Security, from the theoretical realm into the practical. One form of a Key-based algorithm obscures information from eavesdroppers by mapping it to cleverly rotated reference signals. For such a scheme, prior work has found that the two-way exchange of completely private information involves six OFDM symbol times, not including synchronization. By developing a protocol that makes the most optimum use of time-frequency resources, we show that it is possible to achieve two-way private exchange and synchronization in only four symbol times -the least latency possible. A significant simulation result indicates that our improved protocol achieves sub-1 ms two-way latency, including re-transmissions. We also illustrate a protocol that shows how Key-based Physical Layer Security can privatize critical PHY layer functions such as cell search. Lastly, additional results show the performance of the PLS algorithm in terms of Key Bit Error Rates and secret key transmission rates.

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Chip-Based symmetric and asymmetric key generation in hierarchical wireless sensors networks

Cited by 11 publications

References 14 publications

Hierarchical Key Management Scheme with Probabilistic Security in a Wireless Sensor Network (WSN)

Hierarchical Key Management Scheme with Probabilistic Security in a Wireless Sensor Network (WSN)

Secret Key Management in Wireless Sensor Network Based on Probabilistic Technique

Physical Layer Security for Beyond 5G: Ultra Secure Low Latency Communications

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