Key Pre-distribution Scheme: Enhanced Security in Distributed Systems
محل انتشار: فصلنامه مطالعات پردازش دانش، دوره: 5، شماره: 1
سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 183
فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJKPS-5-1_005
تاریخ نمایه سازی: 14 فروردین 1404
چکیده مقاله:
This paper presents a novel key pre-distribution scheme designed to improve secure communication within distributed systems by using noncommutative ring theory and Linear Feedback Shift Registers (LFSRs). The use of noncommutative rings enables the creation of more complex and secure mathematical frameworks for cryptographic key generation, enhancing resilience against common security threats. LFSRs are selected for their efficiency and minimal overhead in key generation, making this approach particularly effective for resource-constrained environments, such as Internet of Things (IoT) and sensor networks. By combining noncommutative rings with LFSR-based generation techniques, the proposed scheme delivers a lightweight, scalable, and highly secure solution for key pre-distribution. Simulation results demonstrate notable improvements in both security and efficiency. In order to enhance scalability, it is advisable to explore optimizations within the Key Agreement and Link Setup phases, as well as the implementation of parallel processing strategies. Furthermore, conducting empirical testing in various IoT environments would yield valuable insights regarding the practicality of the approach and its capacity for further enhancements. This analysis highlights the algorithm's promise for secure and efficient key management in small to medium-scale IoT systems, while also identifying areas for refinement necessary to support larger networks.
کلیدواژه ها:
Noncommutative Rings ، LFSR (Linear Feedback Shift Register) ، Key Pre-distribution ، Key Agreement ، IoT Security
نویسندگان
Hamid Haj Seyyed Javadi
Ph.D. Candidate, Department of Mathematics, Faculty of Basic Science, Shahed University, Tehran, Iran.
Alireza Babaei
Professor, Department of Computer Engineering, Faculty of Engineering, Shahed University, Tehran, Iran.
Nader Jafari Rad
Professor, Department of Mathematics, Faculty of Basic Science, Shahed University, Tehran, Iran.
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :