By Ying Tan

ISBN-10: 1498725198

ISBN-13: 9781498725194

Email has develop into an fundamental verbal exchange instrument in everyday life. besides the fact that, excessive volumes of junk mail waste assets, intervene with productiveness, and current serious threats to computing device method protection and private privateness. This booklet introduces learn on anti-spam strategies in response to the factitious immune procedure (AIS) to spot and filter out junk mail. It offers a unmarried resource of all anti-spam types and algorithms in response to the AIS which were proposed by way of the writer for the earlier decade in quite a few journals and conferences.

Inspired by way of the organic immune approach, the AIS is an adaptive process according to theoretical immunology and saw immune capabilities, ideas, and types for challenge fixing. one of the number of anti-spam options, the AIS has been powerful and is turning into the most very important the right way to clear out junk mail. The publication additionally makes a speciality of a number of key themes concerning the AIS, including:

  • Extraction tools encouraged by way of quite a few immune principles
  • Construction ways in accordance with a number of focus tools and models
  • Classifiers in keeping with immune chance theory
  • The immune-based dynamic updating algorithm
  • Implementing AIS-based unsolicited mail filtering systems

The e-book additionally comprises a number of experiments and comparisons with cutting-edge anti-spam strategies to demonstrate the wonderful functionality AIS-based anti-spam techniques.

Anti-Spam strategies according to synthetic Immune System

provides practitioners, researchers, and lecturers a centralized resource of exact info on effective versions and algorithms of AIS-based anti-spam strategies. It additionally includes the most up-tp-date info at the normal achievements of anti-spam examine and ways, outlining ideas for designing and employing spam-filtering models.

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Additional resources for Anti-spam techniques based on artificial immune system

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This change will lead to a decline on the performance of IP address–based filtering methods and makes it more difficult to control the botnets. In Reference [152], the network behavior features of spam are comprehensively analyzed, which includes the range of IP addresses, type of operating systems, geographical characteristics, sending modes, etc. Three unsupervised methods are utilized to analyze the association characteristics of the spam-sending process. Duan et al. [69] systematically analyze the behavior characteristics of spammers from the perspective of the mail server and the network layer, such as the distribution of mail servers, the proportion of spam, the active time of spammers, and so on.

4 Intelligent Spam Detection Approaches Intelligent spam detection approaches are the most effective and widely used technologies in the field. On one hand, intelligent detection approaches are highly automated and do not need much human intervention. But, on the other hand, intelligent detection approaches are characterized by high accuracy, robustness, and strong noise tolerance and can adapt to the dynamic changes of the e-mails’ content and users’ interests. In view of the intelligent approaches, spam detection is a typical classification problem, which could be solved by the supervised machine-learning methods.

Legitimate recall and legitimate precision: Since the spam detection involves two sorts of e-mails (legitimate e-mails and spam), these two measurements are corresponding to the spam recall and spam precision. The formulas can be deduced accordingly. 4. Accuracy: Accuracy can reflect the whole performance of a spam filtering system. It can measure out the rate of e-mails categorized correctly by the system, including spam and legitimate e-mails. 6) 20 ■ Anti-Spam Techniques Based on Artificial Immune Systems where nl→l means the number of legitimate e-mails correctly categorized while nl and ns means the total number of legitimate e-mails and spam, respectively.

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


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