کنفرانس مهندسی برق ایران

صفحه اصلی / سی و یکمین کنفرانس بین المللی مهندسی برق

Manifold Learning-Assisted Physical Layer Key Generation for LoRaWAN: an Experimental Study

نویسندگان :

Hossein Aghajari¹ Hamed Bakhtiari babadegani,² Mehdi Naderi soorki³ Sajad Ahmadinabi⁴ Seyed mohsen Ahmadi⁵

1- دانشگاه شهید چمران اهواز 2- دانشگاه شهید چمران اهواز 3- دانشگاه شهید چمران اهواز 4- دانشگاه شهید چمران اهواز 5- دانشگاه شهید چمران اهواز

کلمات کلیدی :

LoRa technology،Wireless link key،Physical Layer Security،Manifold learning

چکیده :

Long Range Wide Area Network (LoRaWAN) has been widely proposed as one of the main promising access networks for the battery-constrained internet of things (IoT) device. Although LoRaWAN already provides many security features such as data confidentiality and integrity between LoRa end nodes (ENs) and application servers at the core, there is a lack of schemes to manage and distribute secure wireless keys between LoRa ENs and gateways at wireless access. In this paper, an efficient physical layer security-based scheme is proposed which explores the randomness of the received signal strength index (RSSI) of LoRa wireless signals to generate link key. Due to the resource constraints LoRa nodes, manifold learning methods are applied to reduce the dimensionality of measured data of channel vectors for initial key generation. Then, a bit disagreement in the initial keys between LoRa EN and gateway are detected and corrected by means of error correction coding. Finally, to prevent information leakage in the presence of attacked node, the cryptographic hashing algorithm is utilized to generate the final key from the initial keys. To analyze the performance of the proposed manifold learning-assisted physical layer key generation in real world, several experiments for different wireless LoRa links such as line-of-sight (LoS), non-LoS, and tree-covered areas are performed over the campus of Shahid Chamran University of Ahvaz. Our analysis of the experimental measurement shows that even when the attacker node is at 50 cm distance from the LoRa EN to recover the Link key, the bit disagreement rate between legitimate EN and attacker keys is 20% in all measurement scenarios. Moreover, we also find that the local tangent space alignment method for manifold learning leads to better security performance.

لیست مقالات

لیست مقالات بایگانی شده

Current Re-use RF Receiver Front-End Topology Combinding LNA, Mixer, VCO and Frequency Divider

Ayda Zamani Ahari - Saeed Saeedi

An Improved Real-Time Implementation of Adaptive Neuro-fuzzy Controller

Iman Gholizadeh - Haniye Raziyan - Reza Javidan

Electricity Tariff Volatility Mitigation Using Uncertainty-Diminution and Hedge Contracts along with Risk Management Policies

Majid Moazzami - Hossein Shahinzadeh - Majid Najafi - Zohreh Azani - Shohreh Azani - Gevork B. Gharehpetian

Design and Implementation of a TEM Double-ridge Horn Antenna for Ultra-Wideband Applications

Seyed Navid Seyfossadat - Hassan Zakeri - Ahad Tavakoli - Gholamreza Moradi

High-Efficiency Soft-Switched Quadratic Ultra-High Step-Up DC-DC Converter with Low Voltage Stress on Semiconductors

Ali Nadermohammadi - Ali Seifi - Hamed Abdi - Pouya Abolhassani - Seyed Hossein Hosseini - Ebrahim Babaei

Effective Rate Analysis of MISO Wireless Communication Systems over EGK Fading Channels

ّfereshteh Salimian Rizi - Abolfazl Falahati

Optimal Scheduling of Active Distribution Networks with High Penetration of Plug-in Electric vehicles and Renewables Using Grasshopper Optimization Algorithm

Seyyed Hadi Mousavi - Varahram Janatifar - Arya Abdolahi - Mitra Sarhangzadeh

Optimal Placement of Of Maintenance Teams in Distribution Networks to Minimize Energy Not Supplied

Qasem Asadi - Ali Ashoornezhad - Hamid Falaghi - Maryam Ramezani

Physiotherapy Algorithms on FUM-Physio Robot

Keyvan Tayaranian Marvian - Amir Hossein Nazari - Seyed Mohammad Tahamipour Zarandi - Mohammad Reza Akbarzadeh totonchi - Zahra Soltani - Alireza Akbarzadeh totonchi

A CMOS Low-Noise and Low-Power Transimpedance Amplifier

Mehrdad Amirkhan Dehkordi - Seyed Mehdi Mirsanei - Soorena Zohoori

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2