Antlion optimization and boosting classifier for spam email detection
نویسندگان
چکیده
منابع مشابه
Boosting Trees for Anti-Spam Email Filtering
This paper describes a set of comparative experiments for the problem of automatically filtering unwanted electronic mail messages. Several variants of the AdaBoost algorithm with confidence– rated predictions (Schapire & Singer 99) have been applied, which differ in the complexity of the base learners considered. Two main conclusions can be drawn from our experiments: a) The boosting–based met...
متن کاملBoosting Trees for Anti-spam Email Filtering Extended Version]
In this work, a set of comparative experiments for the problem of automatically ltering unwanted electronic mail messages are performed on two public corpora: PU1 and LingSpam. Several variants of the AdaBoost algorithm with conndence{rated predictions 14] have been applied, which diier in the complexity of the base learners considered. Two main conclusions can be drawn from our experiments: a)...
متن کاملA New Model for Email Spam Detection using Hybrid of Magnetic Optimization Algorithm with Harmony Search Algorithm
Unfortunately, among internet services, users are faced with several unwanted messages that are not even related to their interests and scope, and they contain advertising or even malicious content. Spam email contains a huge collection of infected and malicious advertising emails that harms data destroying and stealing personal information for malicious purposes. In most cases, spam emails con...
متن کاملSymbiotic filtering for spam email detection
This paper presents a novel spam filtering technique called Symbiotic Filtering (SF) that aggregates distinct local filters from several users to improve the overall performance of spam detection. SF is an hybrid approach combining some features from both Collaborative (CF) and Content-Based Filtering (CBF). It allows for the use of social networks to personalize and tailor the set of filters t...
متن کاملNeural Network Model for Email-Spam Detection
Email spam is a word that we come across in our daily life. The word spam means junk mails. The unsolicited emails that are received by any person in his/her mailbox are called spam. These junk mails are usually sent in bulk for advertising and marketing some products. This work presents a neural network approach to intrusion detection. A Multi-Layer Perceptron using Back Propagation Algorithm ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Future Computing and Informatics Journal
سال: 2018
ISSN: 2314-7288
DOI: 10.1016/j.fcij.2018.11.006