Review on the Security Threats of Internet of Things

Podder, Prajoy; Mondal, M. Rubaiyat Hossain; Bharati, Subrato; Paul, Pinto Kumar

doi:10.5120/ijca2020920548

Cited by 17 publications

(11 citation statements)

References 54 publications

(45 reference statements)

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“…Various types of intelligent sensors have been used in fitness equipment, diets, and health monitoring systems [17]. The future of IoT systems in the health sector leads to the development of personal health monitors that enable early disease detection [18][19] [20] [21].…”

Section: Health Monitoringmentioning

confidence: 99%

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Towards The Secure Internet of Things: Threats and Solution

Ula

Adek

Mukhlish

2023

Proceedings of Malikussaleh International Conference on Multidi

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The use of the Internet of Things (IoT) has recently become a worldwide trend, as this technology can connect various types of equipment such as sensors, cameras, and other devices via the internet. The broad adoption of various IoT technologies makes life easier and better for people. Internet of things applications has been widely used in Smart Building, Smart Vehicles, Construction Management, health management and many other applications. However, the IoT technology still has many flaws and weakness especially in its security and defense mechanism. This paper reviews and elaborate type of security vulnerabilities, issue and threats that IoT technology faces from academic research paper in the past 10 years. This review also aims to find the possible solutions proposed by researchers to overcome security weakness, threats and issue in IoT technology and its application. This research goal to provide guidelines for those who want to develop and improve IoT security. A systematic review was used as the methodology in this paper. The purpose of this systematic review is to survey the threats and vulnerabilities of IoT technology as reported in previous studies. This review also proposes a comprehensive countermeasure to the previously mentioned threats and weaknesses. This study's findings include the identification and classification of various threats in IoT, as well as methods for countermeasures against these attacks. It concludes with reviews of research gaps and future research directions to improve IoT security.

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Section: Health Monitoringmentioning

confidence: 99%

“…IoT applications at this level will require a lot of coordination with the data abstraction layer and data accumulation. IoT applications vary widely, depending on the application domain and the organization's business processes [18].…”

Section: Layer 6-applicationmentioning

confidence: 99%

Towards The Secure Internet of Things: Threats and Solution

Ula

Adek

Mukhlish

2023

Proceedings of Malikussaleh International Conference on Multidi

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“…ough several studies have looked at IoTsecurity, none have focused on DL or ML applications for IoT security. Several works [19][20][21][22][23][24][25] have been reviewed for motivating and organizing the challenges in access control, authentication, application security, encryption, and network security in IoT environments. e survey in [26] provided a survey of IoT communication on security issues with its solutions.…”

Section: Literature Reviewsmentioning

confidence: 99%

Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions

Bharati

Podder

2022

Security and Communication Networks

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The integration of the Internet of Things (IoT) connects a number of intelligent devices with minimum human interference that can interact with one another. IoT is rapidly emerging in the areas of computer science. However, new security problems are posed by the cross-cutting design of the multidisciplinary elements and IoT systems involved in deploying such schemes. Ineffective is the implementation of security protocols, i.e., authentication, encryption, application security, and access network for IoT systems and their essential weaknesses in security. Current security approaches can also be improved to protect the IoT environment effectively. In recent years, deep learning (DL)/machine learning (ML) has progressed significantly in various critical implementations. Therefore, DL/ML methods are essential to turn IoT system protection from simply enabling safe contact between IoT systems to intelligence systems in security. This review aims to include an extensive analysis of ML systems and state-of-the-art developments in DL methods to improve enhanced IoT device protection methods. On the other hand, various new insights in machine and deep learning for IoT securities illustrate how it could help future research. IoT protection risks relating to emerging or essential threats are identified, as well as future IoT device attacks and possible threats associated with each surface. We then carefully analyze DL and ML IoT protection approaches and present each approach’s benefits, possibilities, and weaknesses. This review discusses a number of potential challenges and limitations. The future works, recommendations, and suggestions of DL/ML in IoT security are also included.

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“…As a final step, an assessment of current security issues is given along with open challenges and possible future possibilities for IoT security assurance. [6] The dynamic, diverse and connected nature of smart homes creates new security, authentication and privacy challenges. This study explores security risks in smart homes and their impact on system overall security.…”

Section: IIImentioning

confidence: 99%

A Survey on Security Issues in IOT Enabled Smart Homes

Chandra¹

2021

IJRASET

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Smart home systems are having in great popularity and demand for the past few decades as they increase the comfort and quality of life. Smartphones and microcontrollers are used to control most of these devices.A smartphone application is used to monitor home functions and perform various tasks with wireless communication technologies. IoT has changed organizations by incorporating dexterity and effectiveness. However, one of the biggest concerns associated with this field is Security. In 2016, a hacker had discovered a weakness in video cameras that came about in very nearly 300,000 IoT gadgets assaulting other online media stages, which even cut down Twitter. This is only one of the numerous instances of how Security has frequently got compromised in 'things.' In this survey paper, our objective is to know the details of smart home ,its’s archictecture and it’s security issues in this contemporary world. We will survey the security concerns of IoT in Smart Homes. Towards the second part of the paper, we will also discuss some of the developments that have been made to overcome these challenges and used for security in smart homes. Keywords: Sensors, Internet of things, Security, Smart Homes, Home appliances.

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Review on the Security Threats of Internet of Things

Cited by 17 publications

References 54 publications

Towards The Secure Internet of Things: Threats and Solution

Towards The Secure Internet of Things: Threats and Solution

Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions

A Survey on Security Issues in IOT Enabled Smart Homes

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