A Novel Physical Layer Assisted Authentication Scheme for Mobile Wireless Sensor Networks

Wang, Qiuhua

doi:10.3390/s17020289

Cited by 24 publications

(13 citation statements)

References 21 publications

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“…Different from the literature presented so far, our authentication approach relies on the estimation of the distribution of selected underwater channel features instead of their instantaneous realizations, as opposed to, e.g., [9]- [19]. Unlike [5], we do not explicitly generate keys starting from channel features; we do not base our scheme on cryptography (unlike [2]); and in order to save energy we do not require the transmission of structured jamming signals, unlike some approaches in [3].…”

Section: Related Workmentioning

confidence: 99%

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Cooperative Authentication in Underwater Acoustic Sensor Networks

Diamant

Casari

Tomasin

2019

IEEE Trans. Wireless Commun.

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With the growing use of underwater acoustic communications (UWAC) for both industrial and military operations, there is a need to ensure communication security. A particular challenge is represented by underwater acoustic networks (UWANs), which are often left unattended over long periods of time. Currently, due to physical and performance limitations, UWAC packets rarely include encryption, leaving the UWAN exposed to external attacks faking legitimate messages. In this paper, we propose a new algorithm for message authentication in a UWAN setting. We begin by observing that, due to the strong spatial dependency of the underwater acoustic channel, an attacker can attempt to mimic the channel associated with the legitimate transmitter only for a small set of receivers, typically just for a single one. Taking this into account, our scheme relies on trusted nodes that independently help a sink node in the authentication process. For each incoming packet, the sink fuses beliefs evaluated by the trusted nodes to reach an authentication decision. These beliefs are based on estimated statistical channel parameters, chosen to be the most sensitive to the transmitterreceiver displacement. Our simulation results show accurate identification of an attacker's packet. We also report results from a sea experiment demonstrating the effectiveness of our approach.

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Section: Related Workmentioning

confidence: 99%

“…ROC curve for the KL bound(19), GG signals with estimated parameters (GG Model), and Bellhop signals (Actual).…”

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confidence: 99%

Cooperative Authentication in Underwater Acoustic Sensor Networks

Diamant

Casari

Tomasin

2019

IEEE Trans. Wireless Commun.

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“…Proof: According to the principle of channel reciprocity [36], [37], we know that only legitimate SN and the sink can be able to generate correlated channel parameters. Then, the SN and the sink can confirm the validity of each other because the average of the path loss values generated independently from their end of the channel is always greater than or equals to the threshold.…”

Section: ) Mutual Authenticationmentioning

confidence: 99%

Mutual Authentication in Body Area Networks Using Signal Propagation Characteristics

Umar

Liao

2020

IEEE Access

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Developments in wireless communications and wearable devices have facilitated the emergence of a network of tiny sensors embedded in, on or around human body called Wireless Body Area Network (WBAN). Over the last decade, WBAN has increasingly been playing a vital role in modern medical systems because of its potential to revolutionize healthcare delivery. The data collected by the sensors contain sensitive information and are transmitted via wireless channels. However, the openness of these channels makes WBAN vulnerable to attacks by unauthorized users. Therefore, secure authentication and data encryption schemes in WBAN are essential. The resource constraint nature of the sensors makes traditional cryptographic schemes unsuitable. Consequently, authentication schemes based on channel characteristics are proposed, which are more suitable with fewer requirements. However, existing approaches do not consider mutual authentication as well as passive/active attacks. Motivated by these limitations, we propose in this paper, a mutual authentication and data encryption scheme based on signal propagation characteristics and enhanced butterfly algorithm. To validate the effectiveness of our scheme, we conducted an extensive real-world experiment involving 5 volunteers in indoor and outdoor areas, under distinct scenarios. We further conducted security and performance analyses to validate the effectiveness of our scheme in terms of resources and its resilience to various attacks. The results of the experiments and the analyses show that our scheme could mutually identify legitimate users and protect user data against active/passive eavesdropping attacks with minimal overhead.INDEX TERMS Authentication, active attack, passive attack, signal propagation characteristic, wireless body area network (WBAN).

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“…The system utilizes the principle of reciprocity from electromagnetic propagation which shows that the channel characteristics obtained by the sender and receiver will be the same if the measurement is carried out within coherence time. Some studies use the received signal strength (RSS) as one of the characteristics of radio channels [19,20,21,22,23]. These channel characteristics are the most available characteristics in wireless devices with various standards, i.e., Bluetooth, IEEE 802.15.4, and IEEE 802.11.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Key Generation for the Internet of Things Based Synchronized Quantization

Yuliana

Wirawan

Suwadi

2019

Sensors

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One solution to ensure secrecy in the Internet of Things (IoT) is cryptography. However, classical cryptographic systems require high computational complexity that is not appropriate for IoT devices with restricted computing resources, energy, and memory. Physical layer security that utilizes channel characteristics is an often used solution because it is simpler and more efficient than classical cryptographic systems. In this paper, we propose a signal strength exchange (SSE) system as an efficient key generation system and a synchronized quantization (SQ) method as a part of the SSE system that synchronizes data blocks in the quantization phase. The SQ method eliminates the signal pre-processing phase by performing a multi-bit conversion directly from the channel characteristics of the measurement results. Synchronization is carried out between the two authorized nodes to ensure sameness of the produced keys so it can eliminate the error-correcting phase. The test results at the IoT devices equipped with IEEE 802.11 radio show that SSE system is more efficient in terms of computing time and communication overhead than existing systems.

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A Novel Physical Layer Assisted Authentication Scheme for Mobile Wireless Sensor Networks

Cited by 24 publications

References 21 publications

Cooperative Authentication in Underwater Acoustic Sensor Networks

Cooperative Authentication in Underwater Acoustic Sensor Networks

Mutual Authentication in Body Area Networks Using Signal Propagation Characteristics

An Efficient Key Generation for the Internet of Things Based Synchronized Quantization

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