Channel Estimation for Secret Key Generation

McGuire, Michael

doi:10.1109/aina.2014.60

Cited by 5 publications

(5 citation statements)

References 19 publications

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“…Some existing studies [24,25,26,27,28,29] use a key generation system consisting of five phases as shown in Figure 2. The first phase is to alternately measure channel characteristics between two authorized nodes.…”

Section: Key Generation System Overviewmentioning

confidence: 99%

“…The performance evaluation shows that direct quantization can result in high bit mismatches at the quantization phase. The addition of the signal pre-processing phase at [24,25,26,27,28,29] aims to reduce the incompatibility of the resulting bits. However, compared with [32], the studies that use five phases tend to be less efficient due to the addition of the signal pre-processing and error-correcting phases, which increases computing time.…”

Section: Key Generation System Overviewmentioning

confidence: 99%

“…We propose the SSE system as a key generation system that consists of three phases, i.e., measurement of channel characteristics, quantization, and privacy amplification as shown in Figure 3. The system is simpler when compared to existing systems [24,25,26,27,28,29,32,40,41,42], so it is expected to be able to reduce computing time, communication overhead and suitable for IoT devices with limited computing resources. We claim that our proposed key generation system is simpler in terms of the number of phases that must be passed.…”

Section: Sse Systemmentioning

confidence: 99%

“…This condition results in a decrease similarity of channel characteristics due to non-simultaneous measurements and wireless devices noise. Several studies have attempted to improve the similarity of produced channel characteristics by appending the signal pre-processing phase after the measurement process [24,25,26,27,28,29]. The addition of this phase is proven to be able to raise the similarity of the channel characteristics as indicated by an increase in the correlation coefficient value.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Key Generation System Overviewmentioning

confidence: 99%

Section: Key Generation System Overviewmentioning

confidence: 99%

Section: Sse Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Yuliana

Wirawan

Suwadi

2019

Sensors

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“…This method performs smoothing or fitting, so it increases reciprocity between the two users and reduces the incompatibility of the bits produced. Some studies in [ 35 , 36 , 37 , 38 , 39 ] show that the utilization of this method can reduce the mismatch of bits produced but still requires an information reconciliation stage to correct the mismatch bits. This condition results in the increasing computational time needed, because of the increasing number of stages that must be passed.…”

Section: Introductionmentioning

confidence: 99%

A Simple Secret Key Generation by Using a Combination of Pre-Processing Method with a Multilevel Quantization

Yuliana

Wirawan

Suwadi

2019

Entropy

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Limitations of the computational and energy capabilities of IoT devices provide new challenges in securing communication between devices. Physical layer security (PHYSEC) is one of the solutions that can be used to solve the communication security challenges. In this paper, we conducted an investigation on PHYSEC which utilizes channel reciprocity in generating a secret key, commonly known as secret key generation (SKG) schemes. Our research focused on the efforts to get a simple SKG scheme by eliminating the information reconciliation stage so as to reduce the high computational and communication cost. We exploited the pre-processing method by proposing a modified Kalman (MK) and performing a combination of the method with a multilevel quantization, i.e., combined multilevel quantization (CMQ). Our approach produces a simple SKG scheme for its significant increase in reciprocity so that an identical secret key between two legitimate users can be obtained without going through the information reconciliation stage.

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