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.
By:
Sunita Vikrant Dhavale Imprint: MKP Techologies Country of Publication: United States Dimensions:
Height: 229mm,
Width: 152mm,
Spine: 14mm
Weight: 615g ISBN:9781683180135 ISBN 10: 1683180135 Series:Advances in Information Security, Privacy, and Ethics Pages: 178 Publication Date:10 March 2017 Audience:
Professional and scholarly
,
Undergraduate
Format:Hardback Publisher's Status: Active
Sunita Vikrant Dhavale, Defense Institute of Advanced Technology (DIAT), Pune, India.