An Ensemble Model for Classification of Phishing e-mail

Abstract

Phishing attack is one of the critical issues that access sensitive information from e-mail users like banking password, credit card information and other details. Phishing e-mail not only wastage the storage space in mailbox, decrease the communication band width, but it also damage and misuse the sensitive information. This paper presents the classification of phishing e-mail or non phishing e-mail. In this paper, we have used various classification techniques like C4.5, Classification and Regression Technique (CART), Support Vector Machine (SVM), BayesNet and its ensemble technique for classification of phishing e-mail. The ensemble of CART and SVM gives better actuary results as 99.03% in case of 80-20% training-testing partitions.

Authors and Affiliations

Akhilesh Kumar Shrivas, Sashibhushan Singh Mahto

Keywords

Related Articles

Water Quality Assessment of Lalpur Pond Shahdol District (M.P.) India

The present paper deals water quality assessment of Lalpur pond. The study is carried out Jan.2014-Dec.2014. The Physical and chemical properties of water has been discussed. The pond is not much polluted. Hence it can...

Experimental Study on Concrete by Partial Replacement of Cement with Coconut Shell Ash, Incorporating Steel Fibres: A Review

Demand for cement continues to grow, and also increase in the cost of conventional building materials; for this objective, the use of industrial waste products and agricultural byproducts are very constructive. These in...

Design of Hydraulic Fixture for Engine Side Cover

A fixture is a work-holding device used in the manufacturing industry. Fixture’s primary purpose is to create a secure mounting point for a work piece, allowing for support during operation and increased accuracy, preci...

Achieving Anonymity with Fully Anonymous Attribute-Based Encryption and Controlling Access Privilege in Cloud

Cloud computing could be a revolutionary computing paradigm, that allows versatile, on-demand, and inexpensive usage of computing resources, however the info is outsourced to some cloud servers, and varied privacy consi...

Pesticides Induced Alternations in Plant Growth Hormone (IAA) in RHIZOBACTERIA

Four pesticides Endosulfan, Lambda cyhalothrin, Monocrotophos and Macnozeb were applied at recommended and higher rates to examine their effects on the plant growth promoting activities of the pesticides tolerant Pseudo...

Download PDF file
  • EP ID EP22739
  • DOI -
  • Views 272
  • Downloads 4

How To Cite

Akhilesh Kumar Shrivas, Sashibhushan Singh Mahto (2016). An Ensemble Model for Classification of Phishing e-mail. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(10), -. https://www.europub.co.uk/articles/-A-22739