Optimized relativity search: node reduction in personalized page rank estimation for large graphs

Pirouz, Matin; Zhan, Justin

doi:10.1186/s40537-016-0047-2

Cited by 16 publications

(3 citation statements)

References 32 publications

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“…Next in Fog, decryption technique the intermediate cipher is computed by using client key. Finally, the client decryption [32][33][34][35][36][37][38][39][40][41][42] technique gets the intermediate cipher from the private key and original message is obtained. They compared their technique with RSA technique.…”

Section: Data and Cryptographic Based Security Techniquementioning

confidence: 99%

Augmentation and Orchestration of Security Techniques in Fog Computing

2019

ijrte

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The inventions in the field of Cloud computing with mobile devices, cloudlets, Edge computing are sizzling growth of IoT(Internet of Things) devices. The cloud computing technology has its limitation in various attributes such as bandwidth, latency, location awareness, resource constraints etc. In order to overcome these issues, the edge computing, which is known as manipulating the data at the edge of the network. In order to support various integrated features with IoT such as storage, networking, home energy management, augment reality fog computing provides resource access to the network edge of the user. In the user side it is confronted with serious security issues for data security. This article provides the augmentation and orchestration of security issues in fog computing. In this paper, first we check the architecture of fog computing. Then we suggest broad taxonomy of fog architecture with various architectures. Finally, this paper is concluded with scope and future research in fog computing

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