HomeChain: A Blockchain-Based Secure Mutual Authentication System for Smart Homes

Lin, Chao; He, Debiao; Kumar, Neeraj; Huang, Xinyi; Vijayakumar, Pandi; Choo, Kim‐Kwang Raymond

doi:10.1109/jiot.2019.2944400

Cited by 149 publications

(88 citation statements)

References 35 publications

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“…In this paper, we propose a system for securing and verifying diploma and transcripts electronic documents using blockchain. The reason for using the blockchain is because it is decentralized and guarantees high data integrity [6,22,23]. The type blockchain that we use is the Ethereum blockchain which can make a data storage system decentralized and distributed so it does not make it centralized [11,24,25,26].…”

Section: Methodsmentioning

confidence: 99%

Electronic document authenticity verification of diploma and transcript using smart contract on Ethereum blockchain

Chaniago

Sukarno

Wardana

2021

regist. j. ilm. teknol. sist. inf.

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Ethereum is one of the oldest examples of blockchain technology provides a system that converts centralized storage to distributed and records transactions by way of decentralized and not by a centralized system and can be verified by each node, therefore it is suitable for storing fingerprints from official diploma documents and transcripts that are published. Smart contract is needed for making contract transactions to Ethereum with programming code, so contracts such as diplomas and transcripts uploaded on the Ethereum blockchain can distribute and produce diploma validation and the authenticity of transcripts with transaction hash, consensus, and comply with ERC-721 token standardization. The results showed that a sample of 5 electronic documents in pdf format with a transaction speed of 1 second on each file that were published and secured with Ethereum blockchain technology can be easily verified for authenticity, the system proposed and developed by us takes in consideration invalid and failure cases by giving the necessary feedback to the user.

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Section: Methodsmentioning

confidence: 99%

Electronic document authenticity verification of diploma and transcript using smart contract on Ethereum blockchain

Chaniago

Sukarno

Wardana

2021

regist. j. ilm. teknol. sist. inf.

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“…The proposed model aimed to guarantee secure and trusted traceability, accessibility, and immutability of transactions, logs, and data provenance. The authors in [5] constructed a novel secure mutual authentication system that can be applied in smart homes and other applications by integrating blockchain, group signature, and message authentication code to provide reliable auditing. The authors in [6] proposed blockchain-based smart parking with fairness, reliability, and privacy protection.…”

Section: A Blockchain Related Workmentioning

confidence: 99%

Blockchain Based Detection of Android Malware using Ranked Permissions

Gupta

Sethi

Chaudhary

et al. 2021

IJEAT

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Android mobile devices are a prime target for a huge number of cyber-criminals as they aim to create malware for disrupting and damaging the servers, clients, or networks. Android malware are in the form of malicious apps, that get downloaded on mobile devices via the Play Store or third-party app markets. Such malicious apps pose serious threats like system damage, information leakage, financial loss to user, etc. Thus, predicting which apps contain malicious behavior will help in preventing malware attacks on mobile devices. Identifying Android malware has become a major challenge because of the ever-increasing number of permissions that applications ask for, to enhance the experience of the users. And most of the times, permissions and other features defined in normal and malicious apps are generally the same. In this paper, we aim to detect Android malware using machine learning, deep learning, and natural language processing techniques. To delve into the problem, we use the Android manifest files which provide us with features like permissions which become the basis for detecting Android malware. We have used the concept of information value for ranking permissions. Further, we have proposed a consensus-based blockchain framework for making more concrete predictions as blockchain have high reliability and low cost. The experimental results demonstrate that the proposed model gives the detection accuracy of 95.44% with the Random Forest classifier. This accuracy is achieved with top 45 permissions ranked according to Information Value.

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“…This research further explores the opportunities and challenges of four disruptive technologies: IoT, big data, AI, and blockchain for the development of smart cities. Previous research presents the role of disruptive technologies in specific fields of the cities in general or in the particular case of smart cities, such as real estate [8], transportation and mobility [13][14][15], health [16], smart homes [17], etc. Other research address only one disruptive technology such as AI [18,19], big data [20], blockchain [21,22], or IoT [23].…”

Section: Introductionmentioning

confidence: 99%

Disruptive Technologies in Smart Cities: A Survey on Current Trends and Challenges

Radu

2020

Smart Cities

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This paper aims to explore the most important disruptive technologies in the development of the smart city. Every smart city is a dynamic and complex system that attracts an increasing number of people in search of the benefits of urbanisation. According to the United Nations, 68% of the world population will be living in cities by 2050. This creates challenges related to limited resources and infrastructure (energy, water, transportation system, etc.). To solve these problems, new and emerging technologies are created. Internet of Things, big data, blockchain, artificial intelligence, data analytics, and machine and cognitive learning are just a few examples. They generate changes in key sectors such as health, energy, transportation, education, public safety, etc. Based on a comprehensive literature review, we identified the main disruptive technologies in smart cities. Applications that integrate these technologies help cities to be smarter and offer better living conditions and easier access to products and services for residents. Disruptive technologies are generally considered key drivers in smart city progress. This paper presents these disruptive technologies, their applications in smart cities, the most important challenges and critics.

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HomeChain: A Blockchain-Based Secure Mutual Authentication System for Smart Homes

Cited by 149 publications

References 35 publications

Electronic document authenticity verification of diploma and transcript using smart contract on Ethereum blockchain

Electronic document authenticity verification of diploma and transcript using smart contract on Ethereum blockchain

Blockchain Based Detection of Android Malware using Ranked Permissions

Disruptive Technologies in Smart Cities: A Survey on Current Trends and Challenges

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