A Physical-Layer Key Distribution Mechanism for IoT Networks

Alhasanat, Mohanad; Althunibat, Saud; Darabkh, Khalid A.; Alhasanat, Abdullah; Alsafasfeh, Moath

doi:10.1007/s11036-019-01219-5

Cited by 18 publications

(24 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, a key generation protocol from multipath features of the wireless channel is presented in [16,17]. While the RSS-based key generation protocol is presented in [14,[18][19][20][21][22], the works in [12,[23][24][25][26][27] consider the phase randomness to generate a secret key. In particular, the work in [18] proposes a key distribution scheme exploiting the magnitude of the estimated channel.…”

Section: Related Workmentioning

confidence: 99%

A Channel State Information-Based Key Generation Scheme for Internet of Things

Usman

Althunibat

Qaraqe

2022

Security and Communication Networks

Self Cite

View full text Add to dashboard Cite

Internet-of-Things (IoT) networks generally contain resource-constrained devices that require an energy-efficient key generation procedure to producing secure keys at a faster rate. The physical characteristics of the wireless channel can be exploited to secure communication within IoT networks. In particular, secret keys can be generated by leveraging on the randomness of the wireless physical channel between two communicating parties. The conventional mechanism of generating keys at the physical layer, i.e., using channel probing, quantization, information reconciliation, and privacy amplification, may not be preferable for IoT devices. In addition, in some cases IoT devices may be deployed in static environments, wherein the channel coherence time is too high to generate keys at a faster rate and with the desired randomness. This study proposes a mapping table-based key distribution scheme for IoT environments, wherein multiple characteristics of the random channel are combined to improve not only the key generation rate (KGR) but also the key agreement rate (KAR) and bit error rate (BER). In the proposed scheme, both the channel magnitude and the phase are exploited in the key generation process. The proposed scheme is immune to channel estimation errors while providing sufficient randomness in the static environment. Additionally, the scheme is thoroughly investigated for different scenarios including the case of a smarter eavesdropper, which attempts to estimate the channel between the legitimate nodes. This case verifies the robustness of the proposed scheme in different settings and attack models.

show abstract

Section: Related Workmentioning

confidence: 99%

A Channel State Information-Based Key Generation Scheme for Internet of Things

Usman

Althunibat

Qaraqe

2022

Security and Communication Networks

Self Cite

View full text Add to dashboard Cite

show abstract

“…In fact, these scenarios where a single user needs to establish keys with multiple users are quite common, e.g., roadside units (RSUs) with vehicles [25]. Alhasanat et al [26] proposed a novel physical layer key distribution mechanism for IoT networks. Each node could decode the broadcast signal of the central signal through independent signal modulation type and order.…”

Section: Related Workmentioning

confidence: 99%

Efficient physical layer key generation technique in wireless communications

Lin

Fang

et al. 2020

J Wireless Com Network

View full text Add to dashboard Cite

Wireless communications between two devices can be protected by secret keys. However, existing key generation schemes suffer from the high bit disagreement rate and low bit generation rate. In this paper, we propose an efficient physical layer key generation scheme by exploring the Received Signal Strength (RSS) of signals. In order to reduce the high mismatch rate of the measurements and to increase the key generation rate, a pair of transmitter and receiver separately apply adaptive quantization algorithm for quantifying the measurements. Then, we implement a randomness extractor to further increase key generation rate and ensure randomness of generated of keys. Several real-world experiments are implemented to verify the effectiveness of the proposed scheme. The results show that compared with the other related schemes, our scheme performs better in bit generation rate, bit disagreement rate, and randomness.

show abstract

“…In this paper, we discuss the secrecy capacity region and the corresponding optimal strategy in special scenarios. Furthermore, we introduce some practical transmission strategies that provide reasonable secrecy performances with a low computational complexity in general scenarios, where the 1 The achievable secrecy rate region is defined as a set of secrecy rate tuples (R s,1 , R s,2 , âĂę, R s,K ) that can be achieved by a certain coding scheme, and the secrecy capacity region is defined as a union of the secrecy rate regions for any coding schemes [10]. secrecy capacity region has not been derived.…”

Section: Two-user Bc With Confidential Messagesmentioning

confidence: 99%

“…In order to prevent the eavesdropping, the transmitter is required to take account of information leakage to the The associate editor coordinating the review of this manuscript and approving it for publication was Mostafa Zaman Chowdhury . eavesdroppers in message transmissions [1]. In point-topoint communications, there has been extensive work on the secure wireless communications in the information theoretic approach.…”

Section: Introductionmentioning

confidence: 99%

“…For this reason, every confidential message transmission suffers from different set of eavesdroppers, and this makes the transmission strategy design more complicated than the wiretap broadcast channel, which deals with common external eavesdroppers. Consequently, the techniques developed for wiretap channels cannot easily apply to the broadcast channel with confidential messages, and the optimal transmission strategy for achieving the secrecy capacity region 1 have not yet been derived except some special cases.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Secure Wireless Communications in Broadcast Channels With Confidential Messages

2019

View full text Add to dashboard Cite

Delivering confidential messages in wireless network is gaining continuous attraction as a fundamental building block for the Internet of things (IoT). This paper overviews the confidential message transmission techniques in broadcast channel (BC) where a transmitter serves multiple users by delivering confidential messages to their intended users. Each confidential message must be prevented from extracting its information by any unintended users. First, we consider a basic network consisting of two users. In the two-user BC, the secret dirty paper coding (S-DPC) achieves the secrecy capacity region. However, since the DPC requires a high computational complexity for characterizing the capacity region, two sub-optimal transmission techniques with low complexities are explained. Second, we extend our discussion to the network including more than two users. For K -user BC with confidential messages, the optimal transmission scheme and the secrecy capacity region have not yet been derived. Instead of presenting the optimal scheme, we explain two sub-optimal transmission techniques and compare their features and performances. In conclusion, we discuss the open problems in the confidential message transmission for networks with more than two users.INDEX TERMS Physical layer security, broadcast channel, confidential messages, communication security.

show abstract

A Physical-Layer Key Distribution Mechanism for IoT Networks

Cited by 18 publications

References 24 publications

A Channel State Information-Based Key Generation Scheme for Internet of Things

A Channel State Information-Based Key Generation Scheme for Internet of Things

Efficient physical layer key generation technique in wireless communications

Secure Wireless Communications in Broadcast Channels With Confidential Messages

Contact Info

Product

Resources

About