scholarly journals A Fog Computing Security: 2-Adic Complexity of Balanced Sequences

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Wang Hui-Juan ◽  
Jiang Yong
Keyword(s):  
Power Consumption ◽  
Exponential Function ◽  
Fog Computing ◽  
Periodic Sequence ◽  
Computing Environment ◽  
Authentication Code ◽  
New Approach ◽  
Balanced Sequences

In the fog computing environment, the periodic sequence can provide sufficient authentication code and also reduce the power consumption in the verification. But the periodic sequence faces a known full-cycle attack threat in fog computing. This paper studies the 2-adic complexity attack ability of the periodic balance sequence in the fog computing environment. It uses the exponential function as a new approach to study the 2-adic properties of periodic balance sequence and presents that the 2-adic complexity of the periodic balanced sequence is not an attacking threat when used in fog computing.

scholarly journals Evolutionary Algorithms to Optimize Task Scheduling Problem for the IoT Based Bag-of-Tasks Application in Cloud–Fog Computing Environment

2019 ◽  
Vol 9 (9) ◽  
pp. 1730 ◽  
Author(s):  
Binh Minh Nguyen ◽  
Huynh Thi Thanh Binh ◽  
Tran The Anh ◽  
Do Bao Son
Keyword(s):  
Task Scheduling ◽  
Completion Time ◽  
Fog Computing ◽  
Operating Cost ◽  
Operating Costs ◽  
Scheduling Problem ◽  
Computing Environment ◽  
Swarm Optimization ◽  
New Approach ◽  
Modified Particle Swarm Optimization

In recent years, constant developments in Internet of Things (IoT) generate large amounts of data, which put pressure on Cloud computing’s infrastructure. The proposed Fog computing architecture is considered the next generation of Cloud Computing for meeting the requirements posed by the device network of IoT. One of the obstacles of Fog Computing is distribution of computing resources to minimize completion time and operating cost. The following study introduces a new approach to optimize task scheduling problem for Bag-of-Tasks applications in Cloud–Fog environment in terms of execution time and operating costs. The proposed algorithm named TCaS was tested on 11 datasets varying in size. The experimental results show an improvement of 15.11% compared to the Bee Life Algorithm (BLA) and 11.04% compared to Modified Particle Swarm Optimization (MPSO), while achieving balance between completing time and operating cost.

scholarly journals Man in the Middle Attack Prevention for Edge-Fog, Mutual Authentication Scheme

2019 ◽  
Vol 8 (2S2) ◽  
pp. 47-53
Keyword(s):  
Fog Computing ◽  
Mutual Authentication ◽  
Message Authentication ◽  
Message Authentication Code ◽  
End User ◽  
Computing Environment ◽  
Authentication Code ◽  
Cloud Computing Environment ◽  
Man In The Middle ◽  
Authentication Security

Fog computing is considered emerging technology nowadays. Due to proximity to the end user, fog computing provides a reliable transmission with low latency. In this paper, we have proposed an improved mutual authentication security scheme based on advanced encryption standard AES and hashed message authentication code HMAC in fog computing. Our scheme provides mutual authentication between edge devices and fog server in edge fog cloud computing environment. Further, the scheme has the resistance to man in the middle attack in the fog computing environment. Detailed security analyses are summarized.

scholarly journals Goals and measures for analyzing power consumption data in manufacturing enterprises

2021 ◽  
Vol 3 (1) ◽  
pp. 65-82
Author(s):  
Sören Henning ◽  
Wilhelm Hasselbring ◽  
Heinz Burmester ◽  
Armin Möbius ◽  
Maik Wojcieszak
Keyword(s):  
Power Consumption ◽  
Real Time ◽  
Manufacturing Industry ◽  
Fog Computing ◽  
Electrical Power ◽  
Time Data ◽  
Manufacturing Enterprises ◽  
Computing Paradigm ◽  
Consumption Data ◽  
Analyzing Power

AbstractThe Internet of Things adoption in the manufacturing industry allows enterprises to monitor their electrical power consumption in real time and at machine level. In this paper, we follow up on such emerging opportunities for data acquisition and show that analyzing power consumption in manufacturing enterprises can serve a variety of purposes. In two industrial pilot cases, we discuss how analyzing power consumption data can serve the goals reporting, optimization, fault detection, and predictive maintenance. Accompanied by a literature review, we propose to implement the measures real-time data processing, multi-level monitoring, temporal aggregation, correlation, anomaly detection, forecasting, visualization, and alerting in software to tackle these goals. In a pilot implementation of a power consumption analytics platform, we show how our proposed measures can be implemented with a microservice-based architecture, stream processing techniques, and the fog computing paradigm. We provide the implementations as open source as well as a public show case allowing to reproduce and extend our research.

Security challenges in fog-computing environment: a systematic appraisal of current developments

2019 ◽  
Vol 5 (4) ◽  
pp. 209-233 ◽  
Author(s):  
Jimoh Yakubu ◽  
Shafi’i Muhammad Abdulhamid ◽  
Haruna Atabo Christopher ◽  
Haruna Chiroma ◽  
Mohammed Abdullahi
Keyword(s):  
Fog Computing ◽  
Computing Environment ◽  
Security Challenges ◽  
Systematic Appraisal
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