Security of IoT Application Layer: Requirements, Threats, and Solutions

Abbasi, Mahmoud; Plaza-Hernández, Marta; Mezquita, Yeray

doi:10.1007/978-3-031-22356-3_9

Cited by 6 publications

(6 citation statements)

References 66 publications

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“…Measures such as data validation, digital signatures, and audit trails help maintain data integrity and prevent unauthorized modification [201]- [207]. Availability: Ensuring that the civil registration system and its services are accessible and operational when needed [208], [209]. Measures like redundant systems, disaster recovery plans, and regular maintenance and monitoring are implemented to minimize downtime and ensure system availability.…”

Section: Model Discussionmentioning

confidence: 99%

Security challenges in civil registration: safeguarding vital information in an evolving landscape

Peter Kennedy Okoth

2023

World J. Adv. Res. Rev.

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Civil registration is a fundamental process that captures vital events such as births, deaths, marriages, and divorces, enabling governments to create accurate demographic databases and deliver essential services to their citizens. However, in today's digital age, civil registration systems face numerous security challenges that jeopardize the integrity and confidentiality of vital information. This paper highlights some of the key security challenges encountered in civil registration systems and outlines potential strategies to address them. Firstly, the digitization of civil registration processes has opened new avenues for cyber threats. Malicious actors may attempt to compromise the security of databases, manipulate or steal vital records, or disrupt services through cyberattacks. Robust cybersecurity measures, including encryption, firewalls, intrusion detection systems, and regular security audits, are essential to safeguard sensitive data and ensure the continuity of civil registration operations. Secondly, the issue of identity theft poses a significant challenge to civil registration security. Fraudulent practices, such as the creation of fake identities or the alteration of existing records, can undermine the trustworthiness of the system and lead to the misallocation of resources. The implementation of identity verification mechanisms, such as biometrics or unique identifiers, can enhance the accuracy and integrity of civil registration data while reducing the risk of identity fraud. Thirdly, ensuring the privacy and confidentiality of individuals' personal information is critical in civil registration systems. With the increasing digitization and interconnectedness of data, there is a heightened risk of unauthorized access or data breaches. Strong data protection regulations, robust access controls, and encryption techniques can help mitigate these risks, fostering public trust and confidence in civil registration processes. Moreover, the challenge of inclusivity must be addressed to ensure the effectiveness and reliability of civil registration systems. Marginalized populations, including refugees, migrants, and those residing in remote areas, may face barriers in accessing civil registration services, leaving them vulnerable to identity-related challenges. Deploying mobile registration units, leveraging innovative technologies, and promoting community engagement are strategies that can improve inclusivity and extend the benefits of civil registration to all individuals.

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Section: Model Discussionmentioning

confidence: 99%

Security challenges in civil registration: safeguarding vital information in an evolving landscape

Peter Kennedy Okoth

2023

World J. Adv. Res. Rev.

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“…Advanced technologies within this layer, such as ML algorithms and predictive analytics, drive precision farming, optimizing resource allocation crop management, and fostering sustainable agricultural practices [71]. The application layer processes information and makes critical decisions [72]. It closely integrates IoT technology with agricultural production, utilizing data analysis from the connectivity layer [73].…”

Section: ) Application Layermentioning

confidence: 99%

“…[1], [64], [72], [521]- [527] Location Privacy: track the location of farming equipment, livestock, Unauthorized access to precise location data Robust privacy-preserving mechanisms and compliance with privacy regulations, ethical use of location data.…”

Section: B Data Privacy and Confidentialitymentioning

confidence: 99%

Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey

Mowla,

Shah

et al. 2023

IEEE Access

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The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating the Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing food production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization and control, early-stage pest and crop disease management, and energy conservation. Wireless application protocols such as ZigBee, WiFi, SigFox, and LoRaWAN are commonly employed to collect real-time data for monitoring purposes. Embracing advanced technology is imperative to ensure efficient annual production. Therefore, this study emphasizes a comprehensive, futureoriented approach, delving into IoT-WSNs, wireless network protocols, and their applications in agriculture since 2019. It thoroughly discusses the overview of IoT and WSNs, encompassing their architectures and summarization of network protocols. Furthermore, the study addresses recent issues and challenges related to IoT-WSNs and proposes mitigation strategies. It provides clear recommendations for the future, emphasizing the integration of advanced technology aiming to contribute to the future development of smart agriculture systems. INDEX TERMSInternet of things, wireless sensor networks, wireless network protocols, smart agriculture applications.

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“…A secure communication route between devices and the prevention of malevolent devices from jeopardizing network security are both made possible by trust management. Detection of malevolent nodes [4], that can compromise network security by engaging in malicious activities including eavesdropping [5], tampering with data [6], and launching denial-of-service attacks [7], is one of the primary issues in trust management for IoT networks [8]. Numerous trust management strategies, including reputation-based systems [9], cryptographic methods [10], and machine learning-based methods, have been proposed as solutions to these research challenges.…”

Section: Introductionmentioning

confidence: 99%

Securing IoT With Deep Federated Learning: A Trust-Based Malicious Node Identification Approach

et al. 2023

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The Internet of Things (IoT) has revolutionized the world with its diverse applications and smart connected devices. These IoT devices communicate with each other without human intervention and make life easier in many ways. However, the independence of these devices raises several significant concerns, such as security and privacy preservation due to malicious and compromised nodes within the network. Trust management has been introduced as a less computationally intensive alternative to traditional approaches such as cryptography. The proposed FedTrust approach addresses these challenges by designing a method for identifying malicious and compromised nodes using federated learning. FedTrust trains edge nodes with a provided dataset and forms a global model to predict the abnormal behavior of IoT nodes. The proposed approach utilizes a novel trust dataset consisting of 19 trust parameters from three major components: knowledge, experience, and reputation. To reduce the computational burden, FedTrust employs the concept of communities with dedicated servers to divide the dataset into smaller parts for more efficient training. The proposed approach is extensively evaluated in comparison to existing approaches in terms of accuracy, precision, and other metrics to validate its performance in IoT networks. Simulation results demonstrate the effectiveness of FedTrust by achieving a higher rate of detection and prediction of malicious and compromised nodes.

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Security of IoT Application Layer: Requirements, Threats, and Solutions

Cited by 6 publications

References 66 publications

Security challenges in civil registration: safeguarding vital information in an evolving landscape

Security challenges in civil registration: safeguarding vital information in an evolving landscape

Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey

Securing IoT With Deep Federated Learning: A Trust-Based Malicious Node Identification Approach

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