0% Complete
صفحه اصلی
/
سی و یکمین کنفرانس بین المللی مهندسی برق
A Lightweight Authentication Protocol For M2M Communication In IIoT Using Physical Unclonable Functions
نویسندگان :
Elaheh Kharghani
1
Saeed Aliakbari
2
Javad Bidad
3
Amir masoud Aminian moddares
4
1- دانشگاه سجاد
2- دانشگاه سجاد
3- دانشگاه سجاد
4- دانشگاه سجاد
کلمات کلیدی :
IoT،M2M communication،Mutual authentication،Physical Unclonable Functions (PUF)
چکیده :
Abstract—Machine to Machine (M2M) communication is one of the most important parts of the Industrial Internet of Things (IIoT). In this field, a large number of devices and sensors communicate with each other without human intervention. To establish secure communication, IIoT devices must perform mutual authentication. Besides, not only well-known attacks but physical attacks are also expected in these systems. On the other hand, many IIoT devices (e.g., smart sensors) have limited processing power and memory. Therefore, many of the existing authentication protocols are not appropriate for these systems. To meet this issue, in this paper, a new authentication scheme is presented for M2M communication in IIoT by using lightweight cryptographic functions, such as XOR operation, one-way hash function, and Physically Unclonable Function (PUF). The security analysis demonstrates that the scheme is resistant to both physical attacks and several well- known attacks. Also, the performance evaluation shows that the protocol is efficient in terms of storage, communication, and computation costs. Conclusively, in comparison with the existing protocols, our proposed protocol is more applicable for IIoT.
لیست مقالات
لیست مقالات بایگانی شده
Classifying Human Spatial Navigation Anxiety Using Electrooculography Signals and Machine Learning Techniques
Saeed Mousavi - Sara Ashrafi - Mehdi Delrobaei
Medial Residual Encoder Layers for Classification of Brain Tumors in Magnetic Resonance Images
Zahra Sobhaninia - Nader Karimi - Pejman Khadivi - Shadrokh Samavi
Hand Movment Decoding from EEG Signals Using Kalman Filter with Parameters Estimated via Neural Networks and Least Squares Method
Pegah Khoshkavandi - Mohammad B Shamsollahi - Ali Motie Nasrabadi
A Simplified Computational Method for a Proposed mm-Wave Reconfigurable Intelligent Surface
Nima Ahmadi - Forouhar Farzaneh
Adaptive Control of Telerehabilitation Systems in The Framework of Multi-Agent Systems
Mohammadreza Sheykh - Heidar Ali Talebi - ّIman Sharifi
Comparison of the MRT and ZF Precoding in Massive MIMO Systems from Energy Efficiency Viewpoint
Mahdi Nangir - Abdolrasoul Sakhaei Gharagezlou - Nima Imani
VM Placement in Accelerator-Equipped Data Centers Using Variable-Length Modified Genetic Algorithm
Aryo Yarahmadi - Mahmoud Momtazpour
بهبودی بر مساله تشخیص اشیا برجسته درتصاویر مبتنی بر یادگیری عمیق
مهران طاهری - محمد صادق هل فروش - کامران کاظمی
Robust H∞ Control Design for Variable-Speed Wind Turbines Using Bilinear Matrix Inequalities
Hamidreza Javanmardi - Alireza Hamedi - Mahya Rahimzadeh
CNN-LSTM model for Confusion Classification; using Single-Channel EEG
Amirhossein Aran - Zahra Ghanbari - Mohammad Hassan Moradi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4