A Review of Security and Privacy Concerns in the Internet of Things (IoT)

Aqeel, Muhammad; Ali, Fahad; Iqbal, Muhammad Waseem; Rana, Toqir A.; Arif, Muhammad; Auwul, Md. Rabiul

doi:10.1155/2022/5724168

Cited by 25 publications

(8 citation statements)

References 158 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Analysis of IoT Security and Privacy Issues:Analysis of IoT Security and Privacy Issues: Current research underscores the pressing demand for sophisticated security measures in IoT, as explored in "A Review of Security and Privacy Concerns in the Internet of Things (IoT) [33]." This study delineates a variety of security threats that IoT systems face, including malware and cyberattacks.…”

Section: Resultsmentioning

confidence: 99%

A Survey of Blockchain Integration with IoT: Benefits, Challenges and Future Directions

MAADALLAH,

KASSIMI,

EL BOUZEKRI EL IDRISSI

et al. 2024

IJCDS

View full text Add to dashboard Cite

The Internet of Things (IoT) stands at the forefront of the latest generation of information technology advancements, signifying a crucial juncture in the integration of digital and physical domains. This integration is pivotal, facilitating a plethora of transformative digital services that substantially enhance user experiences by seamlessly melding virtual and physical elements. However, the rapid proliferation of IoT also brings to the fore a range of challenges, particularly in the realms of security, simplicity, and data integration. These challenges pose significant obstacles to the full realization of IoT's potential. This paper provides a comprehensive analysis of these challenges within the IoT framework. We delve into the intricacies of IoT environments, examining the security risks and integration complexities that arise. The paper proposes effective strategies to address these challenges, aiming to establish a more secure and reliable IoT infrastructure. We discuss innovative approaches for enhancing data integration and simplifying IoT systems while ensuring robust security measures are in place. Through this exploration, the paper aims to contribute to the ongoing development of IoT, offering insights into overcoming its current limitations and outlining a path for its future evolution. Our analysis underscores the need for continuous research and innovation in this field, setting the stage for the emergence of more advanced, secure, and user-friendly IoT applications across various industries.

show abstract

Section: Resultsmentioning

confidence: 99%

A Survey of Blockchain Integration with IoT: Benefits, Challenges and Future Directions

MAADALLAH,

KASSIMI,

EL BOUZEKRI EL IDRISSI

et al. 2024

IJCDS

View full text Add to dashboard Cite

show abstract

“…The integration of HashiCorp Vault is instrumental in securely managing access tokens, API keys, and other sensitive information [30]. This integration elevates overall security through the following measures that are explained below and depicted in Figure 7 through policies:…”

Section: Vault Integrationmentioning

confidence: 99%

Comprehensive Security for IoT Devices with Kubernetes and Raspberry Pi Cluster

Donca,

Stan,

Misaros

et al. 2024

Electronics

View full text Add to dashboard Cite

Environmental monitoring systems have gained prominence across diverse applications, necessitating the integration of cutting-edge technologies. This article comprehensively explores such a system, emphasizing the integration of a Raspberry Pi cluster with the BME680 environmental sensor within a Kubernetes framework. This study encompasses the technical aspects of hardware configuration and places a significant focus on security benchmarks and robustness validation. The environmental monitoring infrastructure discussed in this article delves into the intricacies of the Raspberry Pi cluster’s hardware setup, including considerations for scalability and redundancy. This research addresses critical security gaps in contemporary environmental monitoring systems, particularly vulnerabilities linked to IoT deployments. Amidst increasing threats, this study introduces a robust framework that integrates advanced security tools—HashiCorp (San Francisco, CA, USA) Vault v1.16 for dynamic secret management and OpenID Connect for authentication processes—to enhance applications and system integrity and resilience within the Kubernetes environment. The approach involves a multi-layered security architecture that fortifies the storage and management of credentials and ensures authenticated and authorized interactions within IoT networks. Furthermore, our research incorporates a series of security benchmark tests, including vulnerability scanning, penetration testing, and access control assessments. Additionally, this article addresses crucial aspects related to data management and analysis, detailing the methodologies employed for storing, processing, and deriving insights from the collected environmental data. It further explores the integration of the monitoring system with existing infrastructure and systems, facilitating seamless data sharing and interoperability and offering valuable insights into the system’s ability to withstand potential threats and vulnerabilities. The integration of Raspberry Pi clusters with BME680 environmental sensors within a Kubernetes-managed framework significantly enhances the scalability and security of IoT systems. This study quantifies the improvements, demonstrating at least a 30% enhancement in system responsiveness and a minimum 40% reduction in vulnerability exposures, as verified by extensive security benchmarks, including penetration testing. These advancements facilitate robust, scalable IoT deployments, with potential applications extending beyond environmental monitoring to include industrial and urban settings. The incorporation of dynamic secret management with HashiCorp Vault and secure authentication with OpenID Connect provides a blueprint for developing resilient IoT architectures capable of supporting high-security and high-availability applications. In conclusion, this article contributes to the expanding body of knowledge in IoT and environmental monitoring and establishes a strong foundation for future work. These outcomes suggest promising directions for further research in secure IoT applications and present practical implications for the deployment of secure and scalable IoT solutions in critical infrastructures.

show abstract

“…Despite the benefits, various downsides are observed. IIoT-driven systems have weak security and privacy configurations, therefore they can be hacked by various network attacks [24], [25].…”

Section: Literature Reviewmentioning

confidence: 99%

A Study of the Man and Unmanned Teaming System for Improving Efficiency in a Fulfillment Center

Khudoyberdiev,

Garnaik,

Kim

et al. 2023

IEEE Access

View full text Add to dashboard Cite

In fulfillment centers, efficient inbound transportation and goods storage are crucial factors that impact overall performance and supply chain costs. Traditional processes often involve human workers performing repetitive tasks, leading to increased expenses. This study presents a Manned-Unmanned Teaming (MUM-T) approach that combines unmanned Automated Guided Vehicles (AGVs) with manned forklift vehicles to automate these processes and minimize costs. The primary objectives are to model AGV-based unmanned inbound transportation, design a manned traveling forklift problem (TFP) with a shortest path algorithm, and compare the MUM-T approach to traditional methods in terms of distance, time, and cost. Results from theoretical analysis and simulations show that the MUM-T approach can reduce traveling distance, working hours, and operational costs by up to 32%, 38%, and 51%, respectively. Moreover, the proposed algorithm enables Beginner and Intermediate-level forklift operators to achieve efficiency comparable to that of Professionals. These findings indicate that implementing the MUM-T approach can significantly enhance the efficiency and cost-effectiveness of inbound transportation and forklift processes in fulfillment centers.INDEX TERMS Automated guided vehicles, fulfillment center, improving efficiency, inbound transportation, man and unmanned teaming, process automation, traveling forklift problem.

show abstract

A Review of Security and Privacy Concerns in the Internet of Things (IoT)

Cited by 25 publications

References 158 publications

A Survey of Blockchain Integration with IoT: Benefits, Challenges and Future Directions

A Survey of Blockchain Integration with IoT: Benefits, Challenges and Future Directions

Comprehensive Security for IoT Devices with Kubernetes and Raspberry Pi Cluster

A Study of the Man and Unmanned Teaming System for Improving Efficiency in a Fulfillment Center

Contact Info

Product

Resources

About