Safe, Secure Executions at the Network Edge: Coordinating Cloud, Edge, and Fog Computing

Mäkitalo, Niko; Ometov, Aleksandr; Kannisto, Joona; Andreev, Sergey; Koucheryavy, Yevgeni; Mikkonen, Tommi

doi:10.1109/ms.2017.4541037

Cited by 55 publications

(22 citation statements)

References 10 publications

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“…The direct device-to-device networking capabilities enable forming coalitions between trusted devices which is fostering the smart and flexible ICT-based distributed energy systems [36]. For instance, in order to improve the functional safety of the system secure and trustable connections are vital so that these highly critical systems can operate even in situations and under conditions where the Internet connection becomes slow or is lost completely at the times.…”

Section: Fog Computingmentioning

confidence: 99%

Future smart energy software houses

Kettunen

Mäkitalo

2019

Eur J Futures Res

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Software is the key enabling technology (KET) as digitalization is cross-cutting future energy systems spanning the production sites, distribution networks, and consumers particularly in electricity smart grids. In this paper, we identify systematically what particular software competencies are required in the future energy systems focusing on electricity system smart grids. The realizations of that can then be roadmapped to specific software capabilities of the different future 'software houses' across the networks. Our instrumental method is software competence development scenario path construction with environmental scanning of the related systems elements. The vision of future software-enabled smart energy systems with software houses is mapped with the already progressing scenarios of energy systems transitions on the one hand coupled with the technology foresight of software on the other hand. Grounding on the Smart Grid Reference Architecture Model (SGAM), it tabulates the distinguished software competencies and attributes them to the different parties-including customers/consumers (Internet of People, IoP)-involved in future smart energy systems. The resulting designations can then be used to recognize and measure the necessary software competencies (e.g., fog computing) in order to be able to develop them inhouse, or for instance to partner with software companies, depending on the future desirability. Software-intensive systems development competence becomes one of the key success factors for such cyber-physical-social systems (CPSS). Further futures research work is chartered with the Futures Map frame. This paper contributes preliminarily toward that by identifying pictures of the software-enabled futures and the connecting software competencebased scenario paths.

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Section: Fog Computingmentioning

confidence: 99%

Future smart energy software houses

Kettunen

Mäkitalo

2019

Eur J Futures Res

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“…При этом устройства не только становятся с каждым годом более энерго-и вычислительно мощными, но и получают возможность более эффективно обрабатывать информацию, а также самостоятельно принимать решения. Однако централизованная координация непрерывно растущего числа устройств уже сейчас становится проблематичной [2]. Для обеспечения эффективного взаимодействия сложно масштабируемых систем была предложена технология распределенного реестра.…”

Section: Introductionunclassified

Survey of distributed ledger technology integration challenges

Gorbunova

Ometov

Komarov

et al. 2020

ICS

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Introduction: Distributed ledger technology (DLT) is one of the most significant fields covering various aspects of modern ICT systems. Centralized systems of today can no longer guarantee the required level of availability and reliability, while broadly available distributed ones are still in the infancy. Purpose: Analysis of the applicability of DLT to various industries such as economics, energy, finance, logistics, and the Internet of Things. Results: The article outlines the main challenges of the DLT technology integration, such as the lack of a unified system for data storage, the need to ensure an appropriate level of data confidentiality, integration into the existing competency systems, the issues of а distributed system interaction with resource-constrained IoT devices, the lack of proper management tools for distributed systems, and network scalability. The main contribution of this paper is a systematic overview of the integration challenges followed by potential solutions and future perspectives.

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“…It has already become popular in industry, as well as academic research communities. It empowers many future technologies (for example, 5G, vehicle-to-vehicle and vehicle-to-cloud communications, augmented reality) by putting the connection in between end users and the cloud computing model and services [8][9][10]. Edge computing brings the utilities and services of cloud computing, which results in the faster processing and quicker response time of applications.…”

Section: Introductionmentioning

confidence: 99%

LDAKM-EIoT: Lightweight Device Authentication and Key Management Mechanism for Edge-Based IoT Deployment

Wazid

Das

Shetty

et al. 2019

Sensors

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In recent years, edge computing has emerged as a new concept in the computing paradigm that empowers several future technologies, such as 5G, vehicle-to-vehicle communications, and the Internet of Things (IoT), by providing cloud computing facilities, as well as services to the end users. However, open communication among the entities in an edge based IoT environment makes it vulnerable to various potential attacks that are executed by an adversary. Device authentication is one of the prominent techniques in security that permits an IoT device to authenticate mutually with a cloud server with the help of an edge node. If authentication is successful, they establish a session key between them for secure communication. To achieve this goal, a novel device authentication and key management mechanism for the edge based IoT environment, called the lightweight authentication and key management scheme for the edge based IoT environment (LDAKM-EIoT), was designed. The detailed security analysis and formal security verification conducted by the widely used “Automated Validation of Internet Security Protocols and Applications (AVISPA)” tool prove that the proposed LDAKM-EIoT is secure against several attack vectors that exist in the infrastructure of the edge based IoT environment. The elaborated comparative analysis of the proposed LDAKM-EIoT and different closely related schemes provides evidence that LDAKM-EIoT is more secure with less communication and computation costs. Finally, the network performance parameters are calculated and analyzed using the NS2 simulation to demonstrate the practical facets of the proposed LDAKM-EIoT.

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Safe, Secure Executions at the Network Edge: Coordinating Cloud, Edge, and Fog Computing

Cited by 55 publications

References 10 publications

Future smart energy software houses

Future smart energy software houses

Survey of distributed ledger technology integration challenges

LDAKM-EIoT: Lightweight Device Authentication and Key Management Mechanism for Edge-Based IoT Deployment

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