Risks and security solutions existing in the Internet of things (IoT) in relation to Big Data

Alvarez, Yigliana; Leguizamón-Páez, Miguel Angel; Londoño, Tania J.

doi:10.25100/iyc.v23i1.9484

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…The sensitivity and privacy issues arise as any form of attack could compromise confidentiality, integrity and the availability of the big data leading to ID theft, Intellectual property theft, breach of trust and litigation issues. Vulnerabilities that come with such 5 V's data stored can be vulnerable to breaches and cyberattacks, which can lead to the loss or theft of sensitive information [8]. Deploying big data in cloud computing environments is a rapidly growing technology that has a significant impact on organizations and provides benefits such as demand-driven access to computational services, a distorted version of infinite computing capacity, and assistance with demand-driven scaling up, scaling down, and scaling out.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Big Data Security in Cloud Computing Using RSA Algorithm

Yeboah-Ofori,

Darvishi,

Opeyemi

2023

2023 10th International Conference on Future Internet of Things and Cloud (FiCloud)

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The enhancement of big data security in cloud computing has become inevitable dues to factors such as the volume, velocity, veracity, Value, and velocity of the big data. These enhancements of big data and cloud technologies have computing enabled a wide range of vulnerabilities in applications in organizational business environments leading to various attacks such as denial-of-service attacks, injection attacks, and Phishing among others. Deploying big data in cloud computing environments is a rapidly growing technology that significantly impacts organizations and provides benefits such as demand-driven access to computational services, a distorted version of infinite computing capacity, and assistance with demand-driven scaling up, scaling down, and scaling out. To secure cloud computing for big data processing, a variety of encryption techniques such as RSA, and AES can be applied. However, there are several vulnerabilities during processing.The paper aims to explore the enhancement of big data security in cloud computing using the RSA algorithm to improve the deployment and processing of the variety, volume, veracity, velocity and value of the data utilizing RSA encryptions.The novelty contribution of the paper is threefold: First, explore the current challenges and vulnerabilities in securing big data in cloud computing and how the RSA algorithm can be used to address them. Secondly, we implement the RSA algorithm in a cloud computing environment using the AWS cloud platform to secure big data to improve the performance and scalability of the RSA algorithm for big data security in cloud computing. We compare the RSA algorithm to other cryptographic algorithms in terms of its ability to enhance big data security in cloud computing. Finally, we recommend control mechanisms to improve security in the cloud platform. The results show that the RSA algorithm can be used to improve Cloud Security in a network environment.

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Section: Introductionmentioning

confidence: 99%

Enhancement of Big Data Security in Cloud Computing Using RSA Algorithm

Yeboah-Ofori,

Darvishi,

Opeyemi

2023

2023 10th International Conference on Future Internet of Things and Cloud (FiCloud)

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Do desire, anxiety and personal innovativeness impact the adoption of IoT devices?

Bhadauria

Chennamaneni²

2022

ICS

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Purpose This study aims to investigate the threat phenomenon as perceived by Internet of Things (IoT) users and examines the role of anxiety, desire and personal innovativeness in the behavioral intention toward the usage of IoT devices. Design/methodology/approach A unified research model is developed based on the protection motivation theory, theory of reasoned action, theory of self-regulation and the review of relevant theoretical, empirical and practitioner literature. Data were collected from 315 assistive IoT device users and analyzed using partial least squares structural modeling. Findings The results indicate strong support for the proposed research model. All relationships, except one, were significant at the 0.05 level. Desire was found to play a direct as well as a moderating role between fear and behavioral intention to continue using assistive IoT devices, which was also directly influenced by anxiety and personal innovativeness. Research limitations/implications Understanding the security behaviors of IoT users will help researchers and practitioners develop preventive measures and robust security solutions for the IoT devices to avert any threats from cyber-attacks and to boost users’ confidence levels. Future research will benefit from replicating the study using longitudinal data. Originality/value This study is one of the first studies that integrate multiple perspectives to present a holistic research model. To the authors’ knowledge, anxiety, desire and personal innovativeness, key factors influencing fear and behavioral intention, have not been studied in the domain of adoption of IoT assistive devices. Additionally, the study offers a new dimension to IoT users’ security behaviors.

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Information Security Monitoring and Management Method Based on Big Data in the Internet of Things Environment

Liang

Feng

2021

IEEE Access

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Risks and security solutions existing in the Internet of things (IoT) in relation to Big Data

Cited by 4 publications

References 24 publications

Enhancement of Big Data Security in Cloud Computing Using RSA Algorithm

Enhancement of Big Data Security in Cloud Computing Using RSA Algorithm

Do desire, anxiety and personal innovativeness impact the adoption of IoT devices?

Information Security Monitoring and Management Method Based on Big Data in the Internet of Things Environment

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