Skip to Content
Machine Learning Approach for Cloud Data Analytics in IoT
book

Machine Learning Approach for Cloud Data Analytics in IoT

by Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Monika Mangla, Suneeta Satpathy, Sirisha Potluri
July 2021
Intermediate to advanced
528 pages
13h 35m
English
Wiley-Scrivener
Content preview from Machine Learning Approach for Cloud Data Analytics in IoT

7Issues and Challenges of Classical Cryptography in Cloud Computing

Amrutanshu Panigrahi1*, Ajit Kumar Nayak2 and Rourab Paul1

1Department of CSE, I.T.E.R., S’O’A University, Bhubaneswar, India

2Department of CS & IT, I.T.E.R., S’O’A University, Bhubaneswar, India

Abstract

Cloud computing nowadays draws the attention of different users as it gives scalable and on-demand access to the resource. As a large number of users can access various cloud resources simultaneously, there will be a threat to every user present in the cloud environment. With the advent of cloud computing, security plays the primary concern. The cryptography plays a key role in maintaining the basic property such as confidentiality, integrity, and availability (CIA) of the information shared between different users. Traditional cryptography provides a secure exchange of information between the users. The data can be shared by using some key which will be used to encrypt the data at the sender side and to decrypt the data at the receiver side. In traditional cryptography, any operation to be performed in the cloud data need a decryption process that exposes confidential data in the cloud platform. These issues are addressed by the homomorphic encryption (HE) technique. This technique enables the cloud user to operate such as update and sort on the encrypted data itself. The partial HE (PHE) and full HE (FHE) are two available variants of HE to overcome the issues of the traditional cryptography system. This ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Big Data Analytics for Internet of Things

Big Data Analytics for Internet of Things

Tausifa Jan Saleem, Mohammad Ahsan Chishti

Publisher Resources

ISBN: 9781119785804Purchase Link