scholarly journals A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues

2020 ◽  
Vol 22 (2) ◽  
pp. 1191-1221 ◽  
Author(s):  
Maria Stoyanova ◽  
Yannis Nikoloudakis ◽  
Spyridon Panagiotakis ◽  
Evangelos Pallis ◽  
Evangelos K. Markakis
2018 ◽  
Vol 3 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Ernest Ezema ◽  
Azizol Abdullah ◽  
Nor Fazlida Binti Mohd

The concept of the Internet of Things (IoT) has evolved over time. The introduction of the Internet of Things and Services into the manufacturing environment has ushered in a fourth industrial revolution: Industry 4.0. It is no doubt that the world is undergoing constant transformations that somehow change the trajectory and history of humanity. We can illustrate this with the first and second industrial revolutions and the information revolution. IoT is a paradigm based on the internet that comprises many interconnected technologies like RFID (Radio Frequency Identification) and WSAN (Wireless Sensor and Actor Networks) to exchange information. The current needs for better control, monitoring and management in many areas, and the ongoing research in this field, have originated the appearance and creation of multiple systems like smart-home, smart-city and smart-grid. The IoT services can have centralized or distributed architecture. The centralized approach provides is where central entities acquire, process, and provide information while the distributed architectures, is where entities at the edge of the network exchange information and collaborate with each other in a dynamic way. To understand the two approaches, it is necessary to know its advantages and disadvantages especially in terms of security and privacy issues. This paper shows that the distributed approach has various challenges that need to be solved. But also, various interesting properties and strengths. In this paper we present the main research challenges and the existing solutions in the field of IoT security, identifying open issues, the industrial revolution and suggesting some hints for future research.


Author(s):  
Nalina Suresh ◽  
Valerianus Hashiyana ◽  
Martin Mabeifam Ujakpa ◽  
Anton Limbo ◽  
Gloria E. Iyawa ◽  
...  

The term “cloud of things” is currently in the forefront of computer research topics due to its vital role towards the internet of things. To integrate cloud computing and internet of things into a single technology or worldview, this chapter discussed the evolution of internet of things and cloud computing and reviewed literature on cloud computing and internet of things and their possible integration. The chapter also discussed the importance of cloud internet of things, its architecture, and operation; the need to integrate internet of things and cloud computing; and challenges of cloud internet of things. The chapter then used the identified open issues and future direction to propose a generic cloud internet of things architecture and pilot simulated the results to verify the possibility and effectiveness of cloud computing and internet of things (CIoTs) integration. The researchers believe that the chapter will provide a better insight for anyone who wishes to carry out research in the field of cloud internet of things.


2013 ◽  
Vol 710 ◽  
pp. 660-664
Author(s):  
Yong Li ◽  
Xin Ling Gan

The technology of the Internet of Things (IoT) has attracted highly attention of academia,industry,and news media. There are still many open issues in the definition, internal principles, architectures and system models of the IoT. Through the analysis of current technical materials, we first analyze three basic concepts and features of the IoT. Then we introduce the architecture composed of three layers of the IoT. Furthermore we summarize the key technologies of the IoT. Finally several development proposals are suggested for the IoT.


2021 ◽  
Vol 10 (5) ◽  
pp. 25327-2535
Author(s):  
Dr. K.Nagarathna rajur

It is a modern type of technology that empowers virtual and physical artefacts to interact and provide digitized services for each other, and includes the Internet of Things (IoT). But it has some benefits, but raises problems of single point of failure, anonymity, accountability, and data integrity due to the new structured design. Challenges like these stands in the path of the introduction of all the most interesting Internet of Things technologies. Bringing the Internet of Things through the public ledger might fix these issues. Decentralized ledger systems are comprised of blockchain as well as distributed ledgers. The introduction of the Internet of Things (IoT) to the blockchain will offer tremendous advantages. Blockchain integration in this paper offers a detailed exploration of how to combine the IoT technology with the IoT scheme. It is followed by reviewing the basic framework and addressing the problems inherent in the system's integration, explaining the advantages of it, and describing ways in which the blockchain can help to overcome such problems. Blockchain as a Service for IoT can illustrate how different protocol concepts can be applied using different service types on blockchain. After this, there would be an important section about the integration of artificial intelligence (AI) into the Internet of Things (IoT) and blockchain. Finally, potential study avenues will focus on ways of applying the Internet of Things (IoT) with blockchain are suggested. The open issues and challenges of 5G-enabled IoT for blockchain-based Industrial automation are also analyzed in the text.


Author(s):  
Burak Kantarci ◽  
Hussein T. Mouftah

Sensing-as-a-Service (S2aaS) is a cloud-inspired service model which enables access to the Internet of Things (IoT) architecture. The IoT denotes virtually interconnected objects that are uniquely identifiable, and are capable of sensing, computing and communicating. Built-in sensors in mobile devices can leverage the performance of IoT applications in terms of energy and communication overhead savings by sending their data to the cloud servers. Sensed data from mobile devices can be accessed by IoT applications on a pay-as-you-go fashion. Efficient sensing service provider search techniques are emerging components of this architecture, and they should be accompanied with effective sensing provider recruitment algorithms. Furthermore, reliability and trustworthiness of participatory sensed data appears as a big challenge. This chapter provides an overview of the state of the art in S2aaS systems, and reports recent proposals to address the most crucial challenges. Furthermore, the chapter points out the open issues and future directions for the researchers in this field.


2017 ◽  
pp. 460-490
Author(s):  
Burak Kantarci ◽  
Hussein T. Mouftah

Sensing-as-a-Service (S2aaS) is a cloud-inspired service model which enables access to the Internet of Things (IoT) architecture. The IoT denotes virtually interconnected objects that are uniquely identifiable, and are capable of sensing, computing and communicating. Built-in sensors in mobile devices can leverage the performance of IoT applications in terms of energy and communication overhead savings by sending their data to the cloud servers. Sensed data from mobile devices can be accessed by IoT applications on a pay-as-you-go fashion. Efficient sensing service provider search techniques are emerging components of this architecture, and they should be accompanied with effective sensing provider recruitment algorithms. Furthermore, reliability and trustworthiness of participatory sensed data appears as a big challenge. This chapter provides an overview of the state of the art in S2aaS systems, and reports recent proposals to address the most crucial challenges. Furthermore, the chapter points out the open issues and future directions for the researchers in this field.


2019 ◽  
Vol 11 (3) ◽  
pp. 1-22 ◽  
Author(s):  
Junaid Latief Shah ◽  
Heena Farooq Bhat ◽  
Asif Iqbal Khan

The Internet of Things (IoT) is seen as a novel paradigm enabling ubiquitous and pervasive communication of objects with each other and with the physical/virtual world via internet. With the exponential rise of sensor and RFID-based communication, much data is getting generated; which becomes arduous to manage given the constrained power and computation of low-powered devices. To resolve this issue, the integration of Cloud and IoT, also known as CloudIoT, is seen as panacea to create more heterogeneous smart services and handle increasing data demands. In this article, the authors examine and survey literature with a focus on the integration components of CloudIoT and present diverse applications including driving factors for CloudIoT integration. The article also identifies security vulnerabilities implied by the integration of Cloud and IoT and outlines some suggested measures to mitigate the challenge. Finally, the article presents some open issues and challenges providing potential directions for future research in this area.


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