Main Reference PaperNovel Set of General Descriptive Features For Enhanced Detection of Malicious Emails Using Machine Learning Methods, Expert Systems With Applications, 2018 [Java/Python/R]
  • By employing the machine learning method, the proposed method captures the novel features from the email components to identify the malicious email. To acquire the best prediction ability, it exploits the random forest classifier.

+ Description
  • By employing the machine learning method, the proposed method captures the novel features from the email components to identify the malicious email. To acquire the best prediction ability, it exploits the random forest classifier.

  • To discover the new previously unknown malicious email

  • To improve the detection performance

+ Aim & Objectives
  • To discover the new previously unknown malicious email

  • To improve the detection performance

  • The work enhanced further by considering the historical email information to improve the detection performance.

+ Contribution
  • The work enhanced further by considering the historical email information to improve the detection performance.

  • Operating system: Ubuntu / Windows

  • Java/Python/R

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Java/Python/R

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

Leave Comment

Your email address will not be published. Required fields are marked *

clear formSubmit