مقاله انگلیسی رایگان در مورد پارادایم بلاک چین دو سویه مقاوم برای اینترنت اشیا – IEEE

 

مشخصات مقاله
ترجمه عنوان مقاله پارادایم بلاک چین دو جهته سبک و مقاوم به حمله برای اینترنت اشیا
عنوان انگلیسی مقاله A Lightweight and Attack-Proof Bidirectional Blockchain Paradigm for Internet of Things
انتشار مقاله سال 2022
تعداد صفحات مقاله انگلیسی  14 صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه IEEE
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس میباشد
نمایه (index) JCR – Master Journal List – Scopus
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
10.976 در سال 2020
شاخص H_index 119 در سال 2022
شاخص SJR 3.848 در سال 2020
شناسه ISSN 2327-4662
شاخص Quartile (چارک) Q1 در سال 2020
فرضیه ندارد
مدل مفهومی دارد
پرسشنامه ندارد
متغیر دارد
رفرنس دارد
رشته های مرتبط مهندسی کامپیوتر – مهندسی فناوری اطلاعات
گرایش های مرتبط مهندسی نرم افزار – اینترنت و شبکه های گسترده
نوع ارائه مقاله
ژورنال
مجله / کنفرانس مجله اینترنت اشیا آی تریپل ای – IEEE Internet of Things Journal
دانشگاه School of Information Technology, Deakin University, Australia
کلمات کلیدی بلاک چین دو طرفه – حمله دوطرفه – حمله eclipse – اینترنت اشیا (IoT) – حمله دوربرد – مقیاس پذیری
کلمات کلیدی انگلیسی Bidirectional blockchain – double-spend attack – eclipse attack – Internet of Things (IoT) – long-range attack – scalability
شناسه دیجیتال – doi
https://doi.org/10.1109/JIOT.2021.3103275
کد محصول e16606
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فهرست مطالب مقاله:

Abstract

Introduction

Related Works

System Model

Security Analysis

Performance Evaluation

Summary and Future Works

References

 

بخشی از متن مقاله:

Abstract

     Diverse technologies, such as machine learning and big data, have been driving the prosperity of the Internet of Things (IoT) and the ubiquitous proliferation of IoT devices. Consequently, it is natural that IoT becomes the driving force to meet the increasing demand for frictionless transactions. To secure transactions in IoT, blockchain is widely deployed since it can remove the necessity of a trusted central authority. However, the mainstream blockchain-based IoT payment platforms, dominated by Proof-of-Work (PoW) and Proof-of-Stake (PoS) consensus algorithms, face several major security and scalability challenges that result in system failures and financial loss. Among the three leading attacks in this scenario, double-spend attacks and long-range attacks threaten the tokens of blockchain users, while eclipse attacks target Denial of Service. To defeat these attacks, a novel bidirectional-linked blockchain (BLB) using chameleon hash functions is proposed, where bidirectional pointers are constructed between blocks. Furthermore, a new committee members auction (CMA) consensus algorithm is designed to improve the security and attack resistance of BLB while guaranteeing high scalability. In CMA, distributed blockchain nodes elect committee members through a verifiable random function. The smart contract uses Shamir’s secret-sharing scheme to distribute the trapdoor keys to committee members. To better investigate BLB’s resistance against double-spend attacks, an improved Nakamoto’s attack analysis is presented. In addition, a modified entropy metric is devised to measure eclipse attack resistance across different consensus algorithms. Extensive evaluation results show the superior resistance against attacks and demonstrate high scalability of BLB compared with current leading paradigms based on PoS and PoW.

Introduction

     I NTERNET of Things (IoT) is experiencing a fast booming in recent years, along with which IoT devices are already ubiquitous, such as mobile devices, car terminals, wearable devices, etc. Not surprisingly, the proliferation of IoT devices meets the increasing demands of contactless payment via IoT devices, which attracts growing attention from both academia and industry [1], [2]. For example, Samsung has launched its IoT payment platform on smart and wearable devices, TVs, fridges, and even more. At the same time, automobile giants such as SAIC Motor have embedded their cars with a comprehensive mobile payment system. On account of the popularization of IoT devices, machine-to-machine (M2M) payment as a paradigm is playing an ever-growing important role in the IoT [3].

In M2M payments, centralized transaction management central has relatively poor performances due to the distributed nature of the IoT. Collecting all the transaction information to a central server causes incredibly massive communication overhead, which leads to delayed transactions and low efficient operation. Moreover, the centralized operation mode is vulnerable to single-point failure, while various man-in-themiddle attacks are unceasingly launched due to the financial value of transaction information. Thus, a decentralized and autonomous payment architecture better meets the needs of the IoT. Blockchain, as an emerging distributed ledger technology (DLT), is decentralized and allows for secure, anonymous, and immutable transactions [4]–[7]. Therefore, it is seen as one of the most promising solutions for M2M IoT payments.

Security Analysis

     Since the security of the Chameleon hash scheme has been proved, including collision-resistant, message hiding, semantic security, and key-exposure-free [17], the security of the Chameleon hash can be guaranteed. While for the distribution of the trapdoor key, the correctness and security of the secretsharing scheme have also been proved based on Lagrange’s interpolation theorem [18]. Therefore, for the rest of this section, the security of the proposed model is analyzed from two aspects: 1) double-spend attack/long-range attack resistance and 2) eclipse attack resistance.

     Both double-spend attacks and long-range attacks are caused by uncertainty about newly added blocks and the subsequent blocks. However, with the novel reverse pointer design, the subsequent direction of any block can be determined, i.e., starting from the genesis block, the entire chain is undisputed. Long-range attacks are completely ineffective against the proposed model. The only possible stage of the proposed model getting attacked by double spending is when generating the reverse pointers.

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