IRO Journals

Journal of IoT in Social, Mobile, Analytics, and Cloud

Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3

Design of Deep Learning Algorithm for IoT Application by Image based Recognition
Volume-3 | Issue-3

Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3

Health Record Management System – A Web-based Application
Volume-3 | Issue-4

A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3

IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2

Secure Data Sharing Platform for Portable Social Networks with Power Saving Operation
Volume-3 | Issue-3

Review of Internet of Wearable Things and Healthcare based Computational Devices
Volume-3 | Issue-3

Stock Index Prediction with Financial News Sentiments and Technical Indicators
Volume-4 | Issue-3

Hybrid Framework on Automatic Detection and Recognition of Traffic Display board Signs
Volume-3 | Issue-3

Suspicious Human Activity Detection System
Volume-2 | Issue-4

ROBOT ASSISTED SENSING, CONTROL AND MANUFACTURE IN AUTOMOBILE INDUSTRY
Volume-1 | Issue-3

EFFICIENT RESOURCE ALLOCATION AND QOS ENHANCEMENTS OF IOT WITH FOG NETWORK
Volume-1 | Issue-2

Live Streaming Architectures for Video Data - A Review
Volume-2 | Issue-4

IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2

Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3

A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3

IoT BASED AIR AND SOUND POLLUTION MONITIORING SYSTEM USING MACHINE LEARNING ALGORITHMS
Volume-2 | Issue-1

Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3

Hybrid Intrusion Detection System for Internet of Things (IoT)
Volume-2 | Issue-4

Home / Archives / Volume-3 / Issue-4 / Article-5

Volume - 3 | Issue - 4 | december 2021

Analysis on Cryptographic Framework for IoE: Challenges and Issues
Pages: 338-349
Published
21 April, 2022
Abstract

The Internet of Things (IoT) has been supplanted by the Internet of Everything (IoE) since lately. Cities, states/provinces, and the federal government all face the same problem of how to fulfill rising public expectations while dealing with shrinking or static resources. A growing chasm exists between public expectations and what governments are able to offer as a result of this problem. In addition, a wide range of additional concerns must be dealt with, at the federal, city/state/local, healthcare, military, and education levels as well. Since the advent of the Internet, nothing has been held as much promising for public sector executives as the Internet of Everything, which has the ability to bridge the gap between citizens' expectations and what governments actually provide. The public sector has a unique chance to improve the quality of life for their citizens via the IoT. Type approval and cyber security methods, on the other hand, are critical for this new paradigm. Many traditional encryption algorithms fail in security and privacy in IoE which is not feasible for devices due to unawareness of the updated Trojan horse etc. The analysis of security and privacy issues for IoE domain is focused at various places such as home, city, government health center and more. In addition, it is at odds with the explanations offered by numerous IoE studies.

Keywords

IoE & IoT machine to machine privacy security issues communication network big data

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