Get Anti-spam techniques based on artificial immune system PDF

By Ying Tan

ISBN-10: 1498725198

ISBN-13: 9781498725194

Email has turn into an imperative verbal exchange device in way of life. besides the fact that, excessive volumes of unsolicited mail waste assets, intervene with productiveness, and current serious threats to desktop process defense and private privateness. This booklet introduces study on anti-spam suggestions in keeping with the substitute immune procedure (AIS) to spot and clear out unsolicited mail. It presents a unmarried resource of all anti-spam types and algorithms in response to the AIS which have been proposed by means of the writer for the earlier decade in quite a few journals and conferences.

Inspired by way of the organic immune procedure, the AIS is an adaptive procedure according to theoretical immunology and saw immune capabilities, rules, and versions for challenge fixing. one of the number of anti-spam options, the AIS has been powerful and is turning into essentially the most very important ways to filter out junk mail. The ebook additionally specializes in a number of key issues regarding the AIS, including:

  • Extraction tools encouraged by means of a variety of immune principles
  • Construction methods in keeping with numerous focus equipment and models
  • Classifiers in accordance with immune possibility theory
  • The immune-based dynamic updating algorithm
  • Implementing AIS-based junk mail filtering systems

The booklet additionally contains numerous experiments and comparisons with state of the art anti-spam ideas to demonstrate the wonderful functionality AIS-based anti-spam techniques.

Anti-Spam options in keeping with man made Immune System

provides practitioners, researchers, and teachers a centralized resource of specific details on effective types and algorithms of AIS-based anti-spam suggestions. It additionally includes the most up-tp-date info at the basic achievements of anti-spam study and techniques, outlining techniques for designing and using spam-filtering models.

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Extra info for Anti-spam techniques based on artificial immune system

Sample text

After introducing the concept of immunity, many researches in engineering have obtained more and more promising results, such as computer network security, intelligent robots, intelligent control, and pattern recognition and fault diagnosis. These researches and applications not only can help us to further understand the immune system itself, but also can help us to reexamine and solve practical engineering problems from the perspective of information processing way in BIS. Building a computer security system in principle of the immune system opens a new research field of information security.

It is the first line of defense against antigens, which provides the innate immune function of the body. Usually, the innate immune system makes use of innate immune cells to recognize the common pattern formed by a variety of nonself. Therefore it can identify a variety of antigens, effectively preventing from the invasion of most antigens. If an antigen breaks up the body’s innate immune defense barrier, the adaptive immune system of the human body will be invoked and responsible for the immune response to that specific antigen.

In the classification phase, similarities between the feature vectors of newly coming images and the vectors in the feature library are calculated, and categories of new images are achieved by weighted voting. Wu et al. [229] extract the vertical, horizontal, and diagonal texture features of images by using wavelet transform. Reference [76] points out that spam images mostly contain advertising information and are generally artificially generated, which result in that the spam images have different color and texture features from normal images.

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Anti-spam techniques based on artificial immune system by Ying Tan

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