Big Data Challenges and Trust Management.

Krishnaprasad Thirunarayan

Big Data Challenges and Trust Management.

Krishnaprasad Thirunarayan

Computer Science and Engineering

Research output: Other contribution

Abstract

The document discusses the challenges and methodologies related to big data and trust management, emphasizing the 5 V's of big data: volume, velocity, variety, veracity, and value. It explores semantic perception, hybrid knowledge representation, and the importance of trust in sensor networks and social contexts. Additionally, it outlines the complexities of understanding trust and its implications for various applications, including e-commerce and mobile ad hoc networks.

Original language	American English
State	Published - 2016

Access to Document

https://www.slideshare.net/slideshow/big-data-and-trust-cts2016/68338144

Cite this

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title = "Big Data Challenges and Trust Management.",

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AB - The document discusses the challenges and methodologies related to big data and trust management, emphasizing the 5 V's of big data: volume, velocity, variety, veracity, and value. It explores semantic perception, hybrid knowledge representation, and the importance of trust in sensor networks and social contexts. Additionally, it outlines the complexities of understanding trust and its implications for various applications, including e-commerce and mobile ad hoc networks.

M3 - Other contribution

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