Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)

Skema Peningkatan Reciprocity Kanal dengan Menggunakan Metode Hierarchical Clustering

Prima Kristalina, Florista Dewi, Mike Yuliana, Tri Budi Santoso, Amang Sudarsono, Reni Soelistijorini

Published Sep 10, 2018• 1 citation

Abstract

Secret key generation scheme that utilizesthe randomness of wireless channels is a very promising alternative to establish a secure communication path. Some wireless devices are used to obtain the channel parameters. But the problem that occurs is imprecise measurement results, causinga secret key difference between the two users. To overcome this problem, pre-processing method is used before the data is quantized, to increase the similarity (reciprocity) channel parameter measurement results. In this paper, the effect of the use of one pre-process method, which was hierarchical clustering, on the performance of secret key generation scheme in an indoorenvironment with two variations of scenario was investigated.The results show that the use of the pre-processingmethod can improve the similarity parameter of the channel measurement results as indicated by the increasing of correlation values up to 20%. In addition, the resulting bit mismatch also decreases with the value of key disagreement rate (KDR) maximum of 20%.

DOI: 10.22146/jnteti.v7i3.443

Related papers

Performance Improvement of Secret Key Generation Scheme in Wireless Indoor Environment

Mike Yuliana, Wirawan, Suwadi

The Secret Key Generation (SKG) scheme that exploits the reciprocity and uniqueness of wireless channel between two users plays a significant part in a new increasing distributed security system. The scheme performance can be distinguished based on the low value of Key disagreement Rate (KDR), the high value of Key Generation Rate (KGR), as well as the fulfillment of the NIST randomness standard. The previous SKG scheme has a high KDR due to a direct quantization of a measurement result of the Received Signal Strength (RSS). To overcome the above issue, we conduct a pre-processing of measurement result before quantization with the Kalman method. The pre-process is carried out to improve the channel reciprocity between two legitimate users with the objective to reduce the bit mismatch. Through an experiment, we propose a new quantization scheme called a Modified Multi-Bit (MMB) that uses a multi-bit system on every level of quantization. The test results show that the proposed combination of preprocessing and the MMB scheme has a better performance compared to the existing schemes in terms of KDR and KGR. The Secret Key generated by our scheme also fulfills the NIST randomness standard.

International Journal of Communication Networks and Information Security (IJCNIS)Apr 17, 202220 citations

Performance Analysis of Loss Multilevel Quantization on the Secret Key Generation Scheme in Indoor Wireless Environment

Mike Yuliana, Wirawan Wirawan, Suwadi Suwadi

The necessity for secured communication devices that has limited computing power has encouraged the development of key generation scheme. The generation of a symmetric key scheme that utilizes randomness of wireless channels offers a most promising solution as a result of the easy distribution of secret key mechanisms. In the last few years, various schemes have been proposed, but there are trade-offs between the performance parameters used. The expected parameters are the low Key Disagreement Rate (KDR), the high Key Generation Rate (KGR), and the fulfillment of standard of randomness. In this paper, we propose the use of a combination of pre-processing methods with multilevel lossy quantization to overcome the trade-off of performance parameters of the Secret Key Generation (SKG) scheme. Pre-process method used to improve reciprocity so as to reduce KDR, whereas multilevel quantization is used to improve the KGR. We use Kalman as the pre-processing method and Adaptive Quantization, Modified Multi-Bit (MMB), and 2-ary Quantization as the multilevel lossy quantization. Testing is conducted by comparing the performance between direct quantization with the addition of the pre-processing method in various multilevel lossy quantization schemes. The test results show that the use of Kalman as pre-processing methods and multilevel lossy quantization can overcome the trade-off performance parameters by reducing KDR and increasing KGR, with the best performance, was obtained when we use adaptive quantization. The resulting secret key has also fulfilled 6 random tests with p values greater than 0.01.

International Journal on Advanced Science Engineering and Information TechnologyJan 17, 201920 citations

Enhancing Channel Reciprocity of Secret Key Generation Scheme by Using Modified Polynomial Regression Method

Mike Yuliana, Wirawan Wirawan, Suwadi Suwadi +2 more

Channel reciprocity is a very crucial component in establishing a secret key generation scheme. Non-simultaneous measurement conditions and noise cause low channel reciprocity, which is indicated by measurements of channel parameters that are not perfectly identical in both users. The stages of the secret key generation scheme that directly quantifies the channel parameters will have an impact on the high difference in the bits produced. In this paper, we propose the use of Modified Polynomial Regression methods to enhance channel reciprocity that would lower the rate of key disagreement between two users. We also propose a combination of the Modified Polynomial Regression method with multilevel quantization to overcome the trade-off between performance parameters, i.e. the key disagreement rate and key generation rate. The test results conducted in an indoor wireless environment show that our proposed scheme has better performance compared to the existing scheme in terms of increasing reciprocity, key generation rate and decreasing key disagreement rate. The resulting secret key has also fulfilled the randomness requirements set by the National Institutes of Standards and Technology statistical suite.

International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)Nov 1, 20188 citations

Deep Learning based Channel Reciprocity Technique for Secret Key Generation

Dewi Cahyo Wulandari, Mike Yuliana, Amang Sudarsono

Wireless technology is a development of modern technology where data exchange and communication can be carried out without cables, which cannot be separated from daily activities. But behind the convenience of this wireless technology, there is a problem or threat in the form of tapping and data theft. So in this paper, a key generation system will be created which is expected to be used for a security system for wireless technology. In this paper, the technology used is LoRa. However, the key generation rate on LoRa is often low due to environmental factors. One way to overcome this problem is by conditioning the value of the high RSSI correlation coefficient. In this paper, we propose, a key generation system that was created to increase Channel Reciprocity based on the Deep Learning pre-process method and the Uniform Quantization method to obtain a high correlation coefficient value. From the experimental results, it can be seen that RSSI correlation values were successfully increased using the deep learning method that has been designed in all scenarios and the secret key is successfully generated. The most number of keys obtained is 18, with each key having a length of 128 bits.

International Electronics Symposium (IES)Aug 6, 20241 citation

Improving performance of secret key generation from wireless channel using filtering techniques

Mike Yuliana, Wirawan Wirawan, Suwadi Suwadi

Secure communication in a wireless environment is very vital, and cryptographic schemes are usually used to ensure it. Secret keys that are unknown to the tappers are needed by cryptographic schemes to secure communication between two legitimate users. In recent years the secret key generation scheme that utilizes a wireless channel as a secret key generation source has become a very interesting and promising topic. The main problem of this scheme is the high wireless channel mismatch between two users due to nonsimultaneous measurements and noise from the device. In this paper, we proposed a secret key generation scheme that uses the Savitzky-Golay filter method to reduce the high mismatch wireless channel. The scheme that was built was also equipped with a multibit quantization method to increase the speed of generation of secret keys. The results of our tests show a decrease in wireless channel mismatch between two users and an increase in the speed of generation of secret keys.

International Conference on Signal Processing Systems (ICSPS)Apr 17, 20193 citations

Performance evaluation of the key extraction schemes in wireless indoor environment

Mike Yuliana, Wirawan Wirawan, Suwadi Suwadi

Shared key generation between two users to exploit the randomness of wireless channels as a source of secret key bits extraction has become an attractive alternative to ensure security in a mobile environment. In this paper, we evaluate the performance of key extraction scheme using measurement results of Received Signal Strength (RSS) on several variations of settings and types of movement. We add the moving average method before the quantization process so our scheme becomes more adaptive to the low variation of RSS, and the use of modified Level Crossing Algorithm to reduce Key Disagreement Rate (KDR) due to half-duplex mode, device limitation, and different types of devices. The results show that our proposed schemes, compared with the existing scheme produce bit stream with the highest entropy, a significant decrease of KDR and passed randomness test from NIST statistical suite.

IEEE International Conference on Signals and Systems (ICSigSys)May 1, 201720 citations