Mitigating IoT Security and Privacy Challenges Using Distributed Ledger Based Blockchain (Dl-BC) Technology

2017 ◽  
Author(s):  
Anil Lamba ◽  
Satinderjeet Singh ◽  
Balvinder Singh ◽  
Natasha Dutta ◽  
Sivakumar Sai Rela Muni
Keyword(s):  
Security And Privacy ◽  
Iot Security ◽  
Distributed Ledger

scholarly journals Integration of Blockchain and IoT: An Enhanced Security Perspective

2020 ◽  
Vol 4 (4) ◽  
pp. 52-63
Author(s):  
Mahdi H. Miraz ◽  
Maaruf Ali
Keyword(s):  
Third Party ◽  
Security And Privacy ◽  
Research Articles ◽  
Consensus Approach ◽  
Distributed Consensus ◽  
Iot Security ◽  
Distributed Ledger ◽  
Wide Scale ◽  
Asymmetric Encryption ◽  
Cryptographic Techniques

Blockchain (BC), a by-product of Bitcoin cryptocurrency, has gained immense and wide scale popularity for its applicability in various diverse domains – especially in multifaceted non-monetary systems. By adopting cryptographic techniques such as hashing and asymmetric encryption - along with distributed consensus approach, a Blockchain based distributed ledger not only becomes highly secure but also immutable and thus eliminates the need for any third-party intermediators. On the contrary, innumerable IoT (Internet of Things) devices are increasingly being added to the network. This phenomenon poses higher risk in terms of security and privacy. It is thus extremely important to address the security aspects of the growing IoT ecosystem. This paper explores the applicability of BC for ensuring enhanced security and privacy in the IoT ecosystem. Recent research articles and projects/applications were surveyed to assess the implementation of BC for IoT Security and identify associated challenges and propose solutions for BC enabled enhanced security for the IoT ecosystem.

scholarly journals Distributed Ledger Technology Applications in Food Supply Chains: A Review of Challenges and Future Research Directions

2021 ◽  
Vol 13 (8) ◽  
pp. 4206
Author(s):  
Jamilya Nurgazina ◽  
Udsanee Pakdeetrakulwong ◽  
Thomas Moser ◽  
Gerald Reiner
Keyword(s):  
Supply Chains ◽  
Food Supply ◽  
Information Exchange ◽  
Security And Privacy ◽  
Future Research ◽  
Research Directions ◽  
Practical Applications ◽  
Food Supply Chains ◽  
Distributed Ledger ◽  
Future Research Directions

The lack of transparency and traceability in food supply chains (FSCs) is raising concerns among consumers and stakeholders about food information credibility, food quality, and safety. Insufficient records, a lack of digitalization and standardization of processes, and information exchange are some of the most critical challenges, which can be tackled with disruptive technologies, such as the Internet of Things (IoT), blockchain, and distributed ledger technologies (DLTs). Studies provide evidence that novel technological and sustainable practices in FSCs are necessary. This paper aims to describe current practical applications of DLTs and IoT in FSCs, investigating the challenges of implementation, and potentials for future research directions, thus contributing to achievement of the United Nations’ Sustainable Development Goals (SDGs). Within a systematic literature review, the content of 69 academic publications was analyzed, describing aspects of implementation and measures to address the challenges of scalability, security, and privacy of DLT, and IoT solutions. The challenges of high costs, standardization, regulation, interoperability, and energy consumption of DLT solutions were also classified as highly relevant, but were not widely addressed in literature. The application of DLTs in FSCs can potentially contribute to 6 strategic SDGs, providing synergies and possibilities for more sustainable, traceable, and transparent FSCs.

scholarly journals A Novel and Integrated Architecture for Securing Communication in IoT

2019 ◽  
Vol 9 (2) ◽  
pp. 924-929
Keyword(s):  
Energy Savings ◽  
Response Times ◽  
Security And Privacy ◽  
Iot Security ◽  
Authentication Mechanism ◽  
Use Of Data ◽  
Data Points ◽  
Integrated Architecture ◽  
Cost Efficient ◽  
Lightweight Encryption

Although the IoT opens the door to endless possibilities, but it is also associated with many risks because all devices connected to the internet involve the use of data points. Therefore, it is essential to ensure IoT security and privacy. A review of existing research works highlights the usage of traditional security scheme based on cryptography for data transmission among IoT nodes and gateways. The proposed system proposes an integrated model that combines lightweight encryption technique with robust and cost-efficient authentication mechanism. The proposed system introduces digital signature-based authentication and complexity minimization in order to resist the involvement of any kind of unknown attacks. The simulation outcome of this model exhibits reliable security, faster response times and energy savings for IoT nodes.

Internet of Things (IoT) Security and Privacy

2018 ◽  
pp. 247-267
Author(s):  
Muawya N. Al Dalaien ◽  
Ameur Bensefia ◽  
Salam A. Hoshang ◽  
Abdul Rahman A. Bathaqili
Keyword(s):  
Internet Of Things ◽  
Security And Privacy ◽  
The Internet ◽  
Privacy Concern ◽  
Computing Systems ◽  
Iot Security ◽  
Privacy Issues ◽  
The Internet Of Things ◽  
Security Concern ◽  
The Way

In recent years the Internet of Things (IoT) has rapidly become a revolutionary technological invention causing significant changes to the way both corporate computing systems, and even household gadgets and appliances, are designed and manufactured. The aim of this chapter is to highlight the security and privacy issues that may affect the evolution of IoT technology. The privacy issues are discussed from customer perspectives: first, the IoT privacy concern where the privacy debates on IoT and the IoT privacy that reflected from users' perspective based on the examination of previous researches results. In addition, the different architectures for IoT are discussed. Finally, the chapter discusses the IoT security concern by collecting, analyzing and presenting the major IoT security concerns in the literature as well as providing some potential solutions to these concerns.

scholarly journals Internet of Things: A Comprehensive Study on Machine Learning-based Intrusion Detection approaches

2021 ◽  
Author(s):  
Priyanka Gupta ◽  
Lokesh Yadav ◽  
Deepak Singh Tomar
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Intrusion Detection ◽  
Real Time ◽  
Detection System ◽  
Research Work ◽  
Security And Privacy ◽  
Iot Security ◽  
Advantages And Disadvantages ◽  
Iot Devices

The Internet of Things (IoT) connects billions of interconnected devices that can exchange information with each other with minimal user intervention. The goal of IoT to become accessible to anyone, anytime, and anywhere. IoT has engaged in multiple fields, including education, healthcare, businesses, and smart home. Security and privacy issues have been significant obstacles to the widespread adoption of IoT. IoT devices cannot be entirely secure from threats; detecting attacks in real-time is essential for securing devices. In the real-time communication domain and especially in IoT, security and protection are the major issues. The resource-constrained nature of IoT devices makes traditional security techniques difficult. In this paper, the research work carried out in IoT Intrusion Detection System is presented. The Machine learning methods are explored to provide an effective security solution for IoT Intrusion Detection systems. Then discussed the advantages and disadvantages of the selected methodology. Further, the datasets used in IoT security are also discussed. Finally, the examination of the open issues and directions for future trends are also provided.

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