Hybrid Approach to Detect Spam Emails using Preventive and Curing Techniques
Author(s) -
Dheyab Salman Ibrahim
Publication year - 2018
Publication title -
journal of al-qadisiyah for computer science and mathematics
Language(s) - English
Resource type - Journals
eISSN - 2521-3504
pISSN - 2074-0204
DOI - 10.29304/jqcm.2018.10.3.417
Subject(s) - computer science , forum spam , communication source , spambot , blacklisting , bag of words model , information retrieval , data mining , spamming , computer security , world wide web , the internet , artificial intelligence , computer network
A file that has to be moved between two schemes can be moved through the network. Security needed between the sender and the receiver. Electronic mails are fastest way of communication and information sharing, but in new years, Email system has been changed, which known Spam Mails. Spam is information, which is spread to a big number of receivers without telling them. Now, a number of techniques have been proposed to stop spam. Filters for anti-spam can be worked in two methods: Preventive techniques and Curing Techniques; The Preventive techniques are Stop Spam before delivery which are depend on URL Based and List Based. Such as whitelisting, blacklisting. The Curing Technique is Destination Spam Filtering that used is Content Based Filtering. The Curing Technique, the messages are categorized as Spam or not Spam based on these techniques. Such as Bayesian filtering, keyword-based filtering, heuristic-based filtering, etc. In this study introduce combining preventive techniques and curing techniques to get good algorithm.
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