Cloud, Fog and Edge Computing: Security and Privacy Concerns

Patil, Ketaki; Gupta, Saisrijan; Nair, Anjali; Gutte, Vitthal

doi:10.22214/ijraset.2022.41862

Cited by 3 publications

(6 citation statements)

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“…Side Channel attacks attempt to exploit a system by gathering publicly available information to deduce sensitive private information (Patil et al, 2020). Communication protocols and embedded sensors are popular side channels in edge computing systems (Xiao et al, 2019).…”

Section: Side Channel Attacksmentioning

confidence: 99%

“…Edge nodes are thus vulnerable to cyber-attacks. Other issues that arise as a result of the use of legacy systems include the management and deployment of updates, which include security updates (Patil et al, 2020). Change and vulnerability management should be employed to better prepare for attacks and manage vulnerabilities of legacy systems.…”

Section: Legacy Systemsmentioning

confidence: 99%

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The Impact of Edge Computing on the Industrial Internet of Things

Sekonya

Sithungu

2023

iccws

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The emergence of the Industrial Internet of Things (IIoT) has improved the management of industrial operations and processes. IIoT involves collecting and processing data from a vast array of sensors deployed across industrial complexes. This enables the measurement of the efficiency of industrial processes, monitoring the health of machinery, optimisation of operations, and response to real-time events. In its application, IIoT underpins the operation of critical infrastructure in sectors including manufacturing and utilities. Maintaining the availability and resilience of critical infrastructure against internal and external threats is essential to minimise disruptions that could have a debilitating effect on a nation’s economy. Although internal threats can lead to a critical infrastructure’s downtime, external threats through cyberattacks also pose a significant threat. Historical events have demonstrated that the successful disruption of critical infrastructure can lead to the loss of human life, the interruption of necessary economic activities and national security concerns. Therefore, the availability of resilient critical infrastructures is vital to the well-being of a country. In this context, the paper compares the deployment of traditional IIoT to that of edge computing for the storage and processing of data. Traditional IIoT relies on a centralised server for data storage and processing, which is insufficient as IIoT environments cannot tolerate delays in responding to real-time events. Conversely, edge computing allows for data processing at the edge, closer to the data source, which plays a crucial role in enabling IIoT devices to respond to real-time events by reducing decision-making latency. Moreover, the decentralised nature of edge computing reduces the reliance on a centralised server by only sending required data to the cloud for further processing. Although edge computing enhances IIoT deployments, a notable concern is a resultant increase in the attack surface of IIoT environments, which consequently restricts its implementation. Exploratory research is conducted to explore the integration of edge computing into IIoT environments with a focus on improving the management and operation of critical infrastructures. A review of the current literature is performed to identify and discuss security concerns prevalent in edge computing-enabled IIoT environments and proposed mitigation strategies.

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Section: Side Channel Attacksmentioning

confidence: 99%

Section: Legacy Systemsmentioning

confidence: 99%

The Impact of Edge Computing on the Industrial Internet of Things

Sekonya

Sithungu

2023

iccws

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“…The paper discusses cloud computing, proposed taxonomy and furnishes an in-depth analysis of how security, privacy, application, and communication challenges feature in the scholarly contributions. [79] 2022 This paper presents a list of security and privacy in fog computing paradigm. It also expounds dangers that exist in cloud, fog and edge computing paradigms.…”

Section: Fogmentioning

confidence: 99%

Privacy and security issues in fog-to-fog communication: A survey

Timothy Murkomen

2023

World J. Adv. Res. Rev.

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The rapid growth of Fog Computing has brought a paradigm shift in data processing and communication, presenting various benefits such as reduced latency, efficient data processing, enhanced scalability and the ability to operate effectively in resource-constrained environments. However, the technology introduced complex privacy and security issues. This paper conducted a thorough exploration of privacy and security issues associated with fog-to-fog (F2F) communication within the broader framework of fog computing. It initiated by providing a background of fog computing, it’s architecture and the core characteristics of fog computing. This survey aimed to discuss the state-of-the-art of privacy and security concerns in fog-to-fog communication. The survey also proposed the areas of future research to equip researchers, practitioners, policy makers and the decision makers with solid knowledge, offering guidance in navigating the complex landscape of privacy and security issues in fog-to-fog (F2F) communication. The survey also aimed to discuss the existing privacy and security research gaps in fog-to-fog (F2F) communication. The findings of this review underscore privacy and security issues in F2F communication, providing valuable insights into recommended countermeasures to strengthen the overall security framework.

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“…The security frameworks for both cloud and edge computing are crucial as they process sensitive data. Patil et al (2022) highlight the security and privacy issues inherent in cloud, fog, and edge computing paradigms. With the rise of 5G technology and IoT, the use of cloud computing has increased, but so have the security challenges.…”

Section: Security Concerns In Data Storage: Cloud Vs Edgementioning

confidence: 99%

“…Unlike cloud computing, where data is centralized, edge computing distributes data storage across numerous locations, increasing the risk of unauthorized access and data breaches. Patil et al (2022) further elaborate on the security challenges in cloud and edge computing, including issues related to data encryption, confidentiality, and data packet splitting. These challenges are critical in ensuring the integrity and privacy of data stored and processed in these environments.…”

Section: Security Concerns In Data Storage: Cloud Vs Edgementioning

confidence: 99%

Innovation in Data Storage Technologies: From Cloud Computing to Edge Computing

Odunayo Josephine Akindote,

Abimbola Oluwatoyin Adegbite,

Samuel Onimisi Dawodu

et al. 2023

Comput. sci. IT res. j.

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In an era where data is the new gold, understanding the evolution and future trajectory of data storage technologies is crucial. This paper delves into the transformative journey from traditional storage methods to contemporary paradigms like cloud and edge computing, underpinned by the burgeoning influence of Big Data, IoT, AI, and machine learning. The study's aim is to provide a comprehensive analysis of these technologies, assessing their development, efficacy, and the challenges they face in meeting the escalating demands of data storage. The methodology employed is a meticulous synthesis of literature reviews, case studies, and comparative analyses. This approach facilitates an in-depth exploration of the historical evolution of data storage, the paradigm shifts from cloud to edge computing, and the interplay between technological advancements and user demands. The study also scrutinizes the security concerns inherent in these technologies and identifies strategic directions for future research. Key findings reveal that while cloud computing has revolutionized data storage with its scalability and flexibility, edge computing emerges as a vital solution to latency and bandwidth limitations. The integration of AI and machine learning is identified as a pivotal factor in enhancing the efficiency and intelligence of data storage systems. However, this integration presents unique challenges, necessitating innovative solutions. Conclusively, the study recommends a continued focus on innovation in data storage technologies, emphasizing the development of integrated, secure, and efficient solutions. Future research should particularly explore the potential of AI and machine learning in overcoming current limitations. The paper's scope encompasses a comprehensive overview of the current state and future potential of data storage technologies, making it a valuable resource for researchers, technologists, and policymakers in the field. Keywords: Data Storage Technologies, Cloud Computing, Edge Computing, Big Data, Internet of Things (IoT), Artificial Intelligence (AI).

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Cloud, Fog and Edge Computing: Security and Privacy Concerns

Cited by 3 publications

References 0 publications

The Impact of Edge Computing on the Industrial Internet of Things

The Impact of Edge Computing on the Industrial Internet of Things

Privacy and security issues in fog-to-fog communication: A survey

Innovation in Data Storage Technologies: From Cloud Computing to Edge Computing

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