Advanced Image-Based Spam Detection and Filtering Techniques

ISBN13: 9781683180135|ISBN10: 1683180135|EISBN13: 9781683180142

DOI: 10.4018/978-1-68318-013-5

MLA

Dhavale, Sunita Vikrant. Advanced Image-Based Spam Detection and Filtering Techniques. IGI Global, 2017. https://doi.org/10.4018/978-1-68318-013-5

APA

Dhavale, S. V. (2017). Advanced Image-Based Spam Detection and Filtering Techniques. IGI Global. https://doi.org/10.4018/978-1-68318-013-5

Chicago

Dhavale, Sunita Vikrant. Advanced Image-Based Spam Detection and Filtering Techniques. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-68318-013-5

Export Reference

Favorite Full-Book Download

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.

Reset

Front Materials

PDF HTML

Title Page

PDF HTML

Advances in Information Security, Privacy, and Ethics (AISPE) Book Series

PDF HTML

Preface

PDF HTML

Acknowledgment

Chapters

PDF HTML

Chapter 1

Image Spam: A Call to Action (pages 1-27)

In order to understand the never-ending fights between developers of anti-spam detection techniques and the spammers; it is important to have an insight of the history of spam mails. On May 3, 1978, Gary Thuerk, a marketing manager...

PDF HTML

Chapter 2

Image Spam: Characteristics and Generation (pages 28-57)

Each and everything in this world have some sort of unique and special characteristics associated with it. These characteristics aid us to differentiate among various things. Similarly the spam mails exhibit some special...

PDF HTML

Chapter 3

Image Spam: Feature Extraction (pages 58-89)

Spam features represent the unique and special characteristics associated with spam, which are further used to differentiate them from other genuine messages. Each message m is processed by a feature extraction module to represent m...

PDF HTML

Chapter 4

Image Spam Filters Based on Optical Character Recognition (OCR) Techniques (pages 90-108)

In 2003, the first image with the spam text inside was reported by Graham-Cumming. Later, this technique was utilized successfully by spammers, by sending image spam as MIME attachments instead of sending as simple image tags. The...

PDF HTML

Chapter 5

Near Duplicate Detection-Based Image Spam Filters (pages 109-122)

A picture is worth a thousand words. Spam images give us many hints; one of them is that they are duplicates. Spam images are often generated from the same templates (which are designed by spammers) as they are sent to various...

PDF HTML

Chapter 6

Visual Feature-Based Image Spam Filters (pages 123-146)

This chapter provides the details of visual feature based image spam filters, a literature review on these spam filters and their limitations. These methods are generally computationally efficient and exhibits more accuracy in...

PDF HTML

Chapter 7

Image Spam Detection Scheme Based on Fuzzy Inference System (pages 147-165)

The evasion techniques used by image spam impose new challenges for e-mail spam filters. Effectual image spam detection requires selection of discriminative image features and suitable classification scheme. Existing research on...

Back Materials

Appendix

About the Author

Index

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.

Username or email: *

Password: *

Forgot individual login password?

Create individual account