Exploring the Joint Potential of Blockchain and AI for Securing Internet of Things (original) (raw)
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arXiv (Cornell University), 2024
Integrating blockchain technology with the Internet of Things offers transformative possibilities for enhancing network security and privacy in the contemporary digital landscape, where interconnected devices and expansive networks are ubiquitous. This paper explores the pivotal role of artificial intelligence in bolstering blockchain-enabled IoT systems, potentially marking a significant leap forward in safeguarding data integrity and confidentiality across networks. Blockchain technology provides a decentralized and immutable ledger, ideal for the secure management of device identities and transactions in IoT networks. When coupled with AI, these systems gain the ability to not only automate and optimize security protocols but also adaptively respond to new and evolving cyber threats. This dual capability enhances the resilience of networks against cyber-attacks, a critical consideration as IoT devices increasingly permeate critical infrastructures. The synergy between AI and blockchain in IoT is profound. AI algorithms can analyze vast amounts of data from IoT devices to detect patterns and anomalies that may signify security breaches. Concurrently, blockchain can ensure that data records are tamper-proof, enhancing the reliability of AI-driven security measures. Moreover, this research evaluates the implications of AI-enhanced blockchain systems on privacy protection within IoT networks. IoT devices often collect sensitive personal data, making privacy a paramount concern. AI can facilitate the development of new protocols that ensure data privacy and user anonymity without compromising the functionality of IoT systems. Through comprehensive analysis and case studies, this paper aims to provide an in-depth understanding of how AI-enhanced blockchain technology can revolutionize network security and privacy in IoT environments.
Integrating Blockchain with Artificial Intelligence to Secure IoT Networks: Future Trends
Sustainability, 2022
Recently, the Internet of Things (IoT) has gained tremendous popularity in several realms such as smart cities, healthcare, industrial automation, etc. IoT networks are increasing rapidly, containing heterogeneous devices that offer easy and user-friendly services via the internet. With the big shift to IoT technology, the security of IoT networks has become a primary concern, especially with the lack of intrinsic security mechanisms regarding the limited capabilities of IoT devices. Therefore, many studies have been interested in enhancing the security of IoT networks. IoT networks need a scalable, decentralized, and adaptive defense system. Although the area of development provides advanced security solutions using AI and Blockchain, there is no systematic and comprehensive study talking about the convergence between AI and Blockchain to secure IoT networks. In this paper, we focus on reviewing and comparing recent studies that have been proposed for detecting cybersecurity attacks in IoT environments. This paper address three research questions and highlights the research gaps and future directions. This paper aims to increase the knowledge base for enhancing IoT security, recommend future research, and suggest directions for future research
Optimizing the Security of Iot Systems via Ai Based Blockchain Architecture
International Journal of Engineering Applied Sciences and Technology
Security in Internet of things (IoT) networks is a diverse test. It includes planning security calculations that should work adequately on a battery fuelled gadget. This adequacy should be as far as low defer prerequisite, low energy necessity, high throughput necessity and high parcel conveyance proportion necessity. This load of necessities is hard to accomplish because of the way that the quantity of assaults common to any IoT network are extremely huge in number, and each assault has its own particular kind. For example, DDoS assaults focus on a specific hub from various assault focuses, while sybil assaults adjust the information bundles to such an extent that the real beneficiary doesn't get the parcel; there are numerous such assaults pervasive to IoT organizations. This paper proposes a blockchain controlled calculation that utilizations evidence of work (PoW) agreement (on the switch side), to distinguish and safeguard against an assortment of IoT assaults. The primary benefit of utilizing a PoW fuelled blockchain is the adaptability of square plan, which can be changed according to the IoT application. This content likewise covers validation and approval utilizing a blend of blockchain and trustassessment between partaking hubs. This content looks at the proposed block-chain fuelled organization results with a non-blockchain execution and the organization proficiency showed over 20% improvement as far as postponement, and bundle conveyance proportion. Our concern definition is, to at first plan a blockchain based framework, then, at that point test the security of the application. Whenever that is done then assess the security openings in the framework, and join confirmation with blockchain. Post this plan of an AI and ML based encryption layer for information security, and if necessary, adjust the AI layer to incorporate information approval for further developed security. At long last, coordination of validation and information security to shape a security structure, then, at that point testing the framework on the given application, and assessment of execution of this new framework. If necessary, we can go for enhancement of the planned framework.
2021
In the era of the Internet of Things (IoT), massive computing devices surrounding us operate and interact with each other to provide several significant services in industries, medical as well as in daily life activities at home, office, education sectors, and so on. The participating devices in an IoT network usually have resource constraints and the devices are prone to different cyber attacks, leading to the loopholes in the security and authentication. As a revolutionized and innovated technology, blockchain, that is applied in cryptocurrency, market prediction, etc., uses a distributed ledger that records transactions securely and efficiently. To utilize the great potential of blockchain, both industries and academia have paid a significant attention to integrate it with the IoT, as reported by several existing literature. On the other hand, Artificial Intelligence (AI) is able to embed intelligence in a system, and thus the AI can be integrated with IoT devices in order to aut...
IRJET, 2022
Attacks against Internet of Things (IoT) devices have increased dramatically in recent years. Attacks on vital internet infrastructure systems have been carried out by cyber thieves using hacked IoT devices. Information security researchers are under increasing pressure to provide new tactics and solutions to protect susceptible devices at all levels following recent assaults. When it comes to home networks, malevolent actors don't care about the smart devices that are part of them. National and global governments are placing a high value on securing critical IoT networks like the electrical grid and water distribution systems. Many different technologies are being applied to the problem of Internet of Things security. These include blockchain, AI, and edge/fog computing (IoT). Authentication and authorization are two legs of the CIA's crucial triad of components. However, due to the scale of IoT networks and the limited resources of devices, standard authentication and authorization mechanisms are unsuitable for handling security. We employ blockchain technology as a lightweight and straightforward authentication solution for IoT devices. The use of artificial intelligence (AI) to aid in decision-making and carry out predictive analytics in a wide variety of contexts is gaining popularity. In recent years, blockchain (a peer-to-peer distributed system) has also been used to enable AI applications, such as secure data sharing (for model training), data privacy, trustworthy AI decision making, and decentralized AI. The purpose of this effort is to create a hybrid authentication technique based on Blockchain authentication and AI for user and device authentication in a fully interconnected IOT setting.
A survey on boosting IoT security and privacy through blockchain
Cluster Computing The Journal of Networks, Software Tools and Applications, 2020
The constant development of interrelated computing devices and the emergence of new network technologies have caused a dramatic growth in the number of Internet of Things (IoT) devices. It has brought great convenience to people’s lives where its applications have been leveraged to revolutionize everyday objects connected in different life aspects such as smart home, healthcare, transportation, environment, agriculture, and military. This interconnectivity of IoT objects takes place through networks on centralized cloud infrastructure that is not constrained to national or jurisdictional boundaries. It is crucial to maintain security, robustness, and trustless authentication to guarantee secure exchange of critical user data among IoT objects. Consequently, blockchain technology has recently emerged as a tenable solution to offer such prominent features. Blockchain’s secure decentralization can overcome security, authentication, and maintenance limitations of current IoT ecosystem. In this paper we conduct a comprehensive literature review to address recent security and privacy challenges related to IoT where they are categorized according to IoT layered architecture: perception, network, and application layer. Further, we investigate blockchain technology as a key pillar to overcome many of IoT security and privacy problems. Additionally, we explore the blockchain technology and its added values when combined with other new technologies as machine learning especially in intrusion detection systems. Moreover, we highlight challenges and privacy issues resulted due to integration of blockchain in IoT applications. Finally, we propose a framework of IoT security and privacy requirements via blockchain technology. Our main contribution is to exhaust the literature to highlight the recent IoT security and privacy issues and how blockchain can be utilized to overcome these issues, nevertheless; we address challenges and open security issues that blockchain may impose on the current IoT systems. Research findings formulate a rigid foundation upon which an efficient and secure adoption of IoT and blockchain is highlighted accordingly.
The Synthesis of Blockchain Artificial Intelligence and Internet of Things20200602 89136 5fo2ww
EJERS, European Journal of Engineering Research and Science, 2020
Abstract-This paper is an exploration of several theories on the synthesis of the Blockchain(BC), the Internet of Things (IoT), and Artificial Intelligence(AI) through a literature review. Blockchain technology is a decentralized peer-to-peer network that stores records and transactions in immutable blocks secured by cryptography. The decentralization aspect of blockchain eliminates the need for trusted third party interceder. Internet of Things(IoT) is an interrelated computer system that makes a connection between computers and humans to communicate in several areas; smart devices like homes, cars, radio are just a few examples. IoT challenges are security, connectivity, issues with the analysis of big data, centralization, and vulnerability to attacks. Artificial Intelligence(AI) machine learning technology is the advanced decision-making process that influences daily routines such as banking, healthcare, gaming, transportation, and space exploration, among others. AI's challenges are; security, centralized architecture, and resource limitations. The methodology will be a comprehensive quantitative analysis of the existing research and how these technologies can be a transformative impact on how information is accessed through enterprise and society. The convergence of BC, AI, and IoT will provide scalable, secure high-level intellectual functioning that will be the new paradigm of digital information.
Security Challenges from the Integration of AI with Blockchain
RECENT, 2023
The way things are done in the computer world has changed because of the Internet of Things (IoT). Therefore, it's so important to integrate cloud computing with IoT devices because of how much data such devices create and how much storage and processing power they need. The fact that users share a variety of cloud computing services among their devices in different ways makes security issues more crucial even so. In a world when unprotected data might endanger our welfare, privacy is even more important. Therefore, the IoT and cloud computing must constantly assure the users' worries about security and privacy. This study examined security concerns and potential IoT application tactics for cloud computing. According to the results, there are still significant security dangers and issues that need to be resolved. To reach that purpose, it is necessary to build the architecture and modify the present program. This article covers the many security issues that the IoT and cloud computing are experiencing, particularly the worries about user privacy and cybersecurity risks.
BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT Architecture with Artificial Intelligence
Future Generation Computer Systems, 2019
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International Journal of Applied Evolutionary Computation, 2020
Blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) are remarkable emerging technologies in the coming few decades. Blockchain technology makes the application more secure and transparent, AI offers analyses the application, and IoT makes the application connected, flexible, and efficient. This paper studies the literature, formulates the research question, and summarizes the contribution of blockchain application, particularly targeting AI and IoT in agriculture and healthcare sectors. This study reveals that 20% of papers are available in agriculture and 14% available in healthcare that integrates blockchain with IoT and AI. Furthermore, the objective of the paper is to study the role of blockchain with IoT and AI in agriculture and healthcare systems in light of the literature review. The integration of blockchain with IoT and AI are playing important roles in agriculture and healthcare fields to manage food supply chains, drug supply chains, traceability of pr...