Systematic Review on Security and Privacy Requirements in Edge Computing: State of the Art and Future Research Opportunities

Abstract

Edge computing is a promising paradigm that enhances the capabilities of cloud computing. In order to continue patronizing the computing services, it is essential to conserve a good atmosphere free from all kinds of security and privacy breaches. The security and privacy issues associated with the edge computing environment have narrowed the overall acceptance of the technology as a reliable paradigm. Many researchers have reviewed security and privacy issues in edge computing, but not all have fully investigated the security and privacy requirements. Security and privacy requirements are the objectives that indicate the capabilities as well as functions a system performs in eliminating certain security and privacy vulnerabilities. The paper aims to substantially review the security and privacy requirements of the edge computing and the various technological methods employed by the techniques used in curbing the threats, with the aim of helping future researchers in identifying research opportunities. This paper investigate the current studies and highlights the following: (1) the classification of security and privacy requirements in edge computing, (2) the state of the art techniques deployed in curbing the security and privacy threats, (3) the trends of technological methods employed by the techniques, (4) the metrics used for evaluating the performance of the techniques, (5) the taxonomy of attacks affecting the edge network, and the corresponding technological trend employed in mitigating the attacks, and, (6) research opportunities for future researchers in the area of edge computing security and privacy.INDEX TERMS Edge computing, edge computing attacks, systematic review, security and privacy requirements.

Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges

“…The IoD applications can perform computation locally and offload complex computations to the edge/fog nodes, resulting in more accurate and reliable results. This significantly reduced latency, provide tremendous real-time data analysis, decreased computational cost, and increased scalability and overall quality of service [19].…”

“…The class of attacks on security and privacy requirements on the IoD network will be explored in this section. Security and privacy requirements are the capabilities and functions employed in eliminating threats and vulnerabilities [19]. Such requirements on the Internet of Drones (IoD) include integrity, availability, authenticity, confidentiality, and privacy.…”

“…Localization error attacks hinder the reliable positioning of drones which resulted in devastating consequences on the overall performances of the IoD network. Moreover, security and privacy requirements are the goals that determine the capabilities and functions of the IoD network achieved in mitigating certain security and privacy threats [19]. The security and privacy requirements on the IoD network include integrity, availability, authenticity, confidentiality, and privacy preservation.…”

Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

“…Roman et al [3] analyzed the security threats, research challenges, and mechanisms inherited by all edge computing archetypes, meanwhile pointing out the potential interactions and functions to integrate security mechanisms in edge paradigms. Yahuza et al [26] investigated existing works and highlighted different categories of privacy and security threats and state-of-the-art technologies for the curtailment of different security threats. They also summarized different metrics to evaluate the performance of these techniques, classified different attacks, and presented some technical trends in alleviating these attacks.…”

Arquitectura resiliente empresarial

“…En general se establecen diferentes nodos interconectados que mantienen la conectividad, con el fin de disminuir el ancho de banda re-querido y así acelerar la respuesta de las aplicaciones para lograr una experiencia en tiempo real. Este paradigma de computación, advierte retos de seguridad y control que deberán asegurarse de cara a su incorporación y soporte en el futuro (Yahuza et al, 2020;Tozzi, 20-20).…”