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All Journal Jurnal IPTEK TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Jurnal Mantik
Nisa, Choirun Choirun Nisa
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering

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Zero Knowledge Authentication Modification for Drone and Server Communication Security Choirun Nisa; Amang Sudarsono; Mike Yuliana
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jurnalmantik.Vol5.2021.1446.pp1019-1029

Abstract

Drones are now being used in various fields. One of the uses of drones is for delivery service. When delivering goods, the drone needs to report its condition while traveling to the server so that the server can monitor the drone and the server can give some commands to the drone. However, when the drone receives data from the server, there are many vulnerabilities it has against the attacker that can take control of the drone device. Taking control of the drone can occur if the attacker manages to send a script that can take over control of the drone. If the attacker can take control over the drone device, the attacker can steal the drone both physically or data of the drone. For this reason, in this study, we propose an authentication algorithm that can filter out who is allowed to send data to the system. The algorithm used is Zero-Knowledge Authentication. To improve the performance of the Zero-Knowledge Authentication algorithm in terms of authentication speed, we try to combine it with the secret key generated from the Secret Key Generation process. From the results of authentication testing, the effectiveness of the proposed algorithm after a Brute Force attack experiment is 100% for single attacker scenarios and for multiple attackers the effectiveness is 100% in LOS and NLOS conditions. Because drones have limited resources, the authentication time experiment is also performed and the result is that in all scenarios the time required to authenticate is in microseconds so that the proposed algorithm can be implemented on drones with limited resources.
Performance Enhancement of RSS-Based Secret Key Generation using Lightweight Minimal Bit Syndrome Reconciliation Method for IoT Devices Nisa, Choirun; M. Cahyo Kriswantoro
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 13 No. 2 (2025): TELEKONTRAN vol 13 no 2 Oktober 2025
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v13i2.17658

Abstract

Secure communication in Internet of Things (IoT) devices can be improved through physical-layer secret key generation. In secret key generation, an information reconciliation process is required to match the bit sequences between the two communicating devices. However, this process often involves complex statistical computations that increase system overhead and require the transmission of bits over an insecure public channel. Therefore, this research presents a lightweight reconciliation algorithm based on minimal bit syndrome to reduce overhead and improve key security. The proposed method processes quantized Received Signal Strength (RSS)  values into 8-bit block syndrome-based reconciliation mechanism and only the 8-bit syndromes from mismatched block are transmitted over the public channel. System testing was conducted under both static and dynamic scenarios in an indoor area using Raspberry Pi nodes. The results show that the proposed scheme demonstrates an improvement in the Key Generation Rate (KGR) by 2.2% and reduces the processing time by 11.6% in dynamic scenario and 8.3% in the static scenario. Also, the proposed scheme reduce the quantization and reconciliation time by 50% compared to previous research. Furthermore, the proposed method maintained a Key Disagreement Rate (KDR) of 0% across all block size and successfully passed the NIST randomness and complexity test, with all test parameters achieving p-values above 0.01. These result indicate that the proposed scheme improve the performance of existing secret key generation methods and it is suitable for implementation in IoT devices.   
Comparison of Measurement Accuracy between Infrared and Ultrasonic Sensors for Collaborative Robot Rudianto Rudianto; Kevin Ilham Apriandy; Choirun Nisa
Jurnal IPTEK Vol 30, No 1 (2026): May
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2026.v30i1.8488

Abstract

This study aims to compare the accuracy of two commonly used distance sensors in robotics systems, namely the ultrasonic sensor HC-SR04 and the infrared sensor Sharp GP2Y0A21YK0F, to support the development of collaborative robots (cobots) that require reliable navigation and object detection. The experiments were conducted in four stages: basic accuracy testing over a distance range of 5–50 cm with 2.5 cm intervals, testing under varying temperature and lighting conditions, accuracy testing on five types of reflective materials (metal, glass, wood, plastic, and fabric), and testing with varying object inclination angles of 0°, 15°, 30°, and 45°. The results indicate that the ultrasonic sensor demonstrates more stable performance and greater tolerance to environmental variations and inclination angles, with a maximum error of approximately 2.5 cm at a 45° angle. In contrast, the infrared sensor provides high accuracy at close ranges but is highly sensitive to lighting conditions and certain reflective materials, with errors reaching 8–10 cm for transparent or light-absorbing surfaces. These findings suggest that the ultrasonic sensor is more suitable for general use in cobots operating in dynamic environments, while the infrared sensor is best applied in controlled scenarios or as a complementary sensor. This research provides a foundation for selecting or combining distance sensors in the development of more accurate and efficient navigation and safety systems for collaborative robots.
Co-Authors Amang Sudarsono, Amang Kevin Ilham Apriandy M. Cahyo Kriswantoro Mike Yuliana Rudianto Rudianto