Advanced Image-Based Spam Detection and Filtering Techniques

Nonfiction, Computers, Internet, Security, Networking & Communications, Computer Security, General Computing
Cover of the book Advanced Image-Based Spam Detection and Filtering Techniques by Sunita Vikrant Dhavale, IGI Global
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Author: Sunita Vikrant Dhavale ISBN: 9781683180159
Publisher: IGI Global Publication: March 10, 2017
Imprint: Information Science Reference Language: English
Author: Sunita Vikrant Dhavale
ISBN: 9781683180159
Publisher: IGI Global
Publication: March 10, 2017
Imprint: Information Science Reference
Language: English
Security technologies have advanced at an accelerated pace in the past few decades. These advancements in cyber security have benefitted many organizations and companies interested in protecting their virtual assets. Advanced Image-Based Spam Detection and Filtering Techniques provides a detailed examination of the latest strategies and methods used to protect against virtual spam. Featuring comprehensive coverage across a range of related topics such as image filters, optical character recognition, fuzzy inference systems, and near-duplicate detection, this book is an ideal reference source for engineers, business managers, professionals, and researchers seeking innovative technologies to aid in spam recognition.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Security technologies have advanced at an accelerated pace in the past few decades. These advancements in cyber security have benefitted many organizations and companies interested in protecting their virtual assets. Advanced Image-Based Spam Detection and Filtering Techniques provides a detailed examination of the latest strategies and methods used to protect against virtual spam. Featuring comprehensive coverage across a range of related topics such as image filters, optical character recognition, fuzzy inference systems, and near-duplicate detection, this book is an ideal reference source for engineers, business managers, professionals, and researchers seeking innovative technologies to aid in spam recognition.

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