Pradeep Atrey – författare
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2 produkter
2 produkter
E-bok
Engelska, 2023205 kr
Läs direkt efter köp
Indian Folktales is a collection of folk-stories, legends, and anecdotes, collected and translated from Hindi by Pradeep Atrey. These enchanting bedtime stories present the colourful world of their characters- kings, queens, gods, goddesses, ordinary men, women, demons, animals, insects, and so on, and in turn generate all sorts of aesthetic sentiments, like love, laughter, anger, pity, disgust, fear, peace, etc. The tales also provide a glimpse of Indian culture as they are primarily grounded in the everyday lives of Indian people. The tales will undoubtedly interest readers from all age groups.
Del 1 - World Scientific Series In Digital Forensics And Cybersecurity
Securecsocial: Secure Cloud-based Social Network
Inbunden, Engelska, 2019
981 kr
Skickas inom 3-6 vardagar
The use of online social networks (OSNs) has grown exponentially in recent years, and these OSNs continue to have an ever-increasing impact on human lives. There are many concerns regarding the privacy of users in these environments, such as how trustworthy the social network operators (SNOs) are.This book presents a way to tackle the security and privacy issues in current OSNs through a new framework for online social networking, based on distributed cloud-based datacenters (CDCs) and using Shamir's secret sharing (SSS) as the method of encrypting user profile data. The framework aims to fulfill two contradictory goals: maintaining the utility of an OSN and preserving privacy of its users. The key feature of the framework lies in relinquishing control of a central authority over user's data (which is what usually happens in the current OSNs, e.g. Facebook keeps all our data) and distributing it to multiple CDCs in encrypted form. The use of SSS ensures perfect security, which means that the security of data does not rely on any unproven computational assumptions.In this unique book, SNOs are considered as an adversary instead of external adversary. This paves the way for researchers to think beyond the privacy setting mechanism within an OSN to protect users' data.