Improving spam detection using neural networks trained by memetic algorithm

Shaveen Singh, Anish Chand, Sunil Pranit Lal

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)

Abstract

In this paper we train an Artificial Neural Network (ANN) using Memetic Algorithm (MA) and evaluate its performance on the UCI spambase dataset. The Memetic algorithm incorporates the local search capacity of Simulated Annealing (SA) and the global search capability of Genetic Algorithm (GA) to optimize the parameters of the ANN. The performance of the MA is compared with traditional GA in training the ANN. We further explore the different parameters, mechanisms and architectures used to optimize the performance of the network and attain a practical balance between the global genetic algorithm and the local search technique. Classification using ANN trained by MA yielded better results on the spambase dataset compared with other algorithms reported in literature.

Original languageEnglish
Title of host publicationProceedings - 2013 5th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2013
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages55-60
Number of pages6
ISBN (Print)9780769551555
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventInternational Conference on Computational Intelligence, Modelling and Simulation 2013 - Seoul, Korea, Republic of (South)
Duration: 24 Sep 201326 Sep 2013
Conference number: 5th

Publication series

NameProceedings of International Conference on Computational Intelligence, Modelling and Simulation
ISSN (Print)2166-8523
ISSN (Electronic)2166-8531

Conference

ConferenceInternational Conference on Computational Intelligence, Modelling and Simulation 2013
Abbreviated titleCIMSim 2013
CountryKorea, Republic of (South)
CitySeoul
Period24/09/1326/09/13

Keywords

  • Genetic Algorithm
  • Memetic Algorithms
  • Neural Network
  • Simulated Annealing
  • Spam classification

Cite this

Singh, S., Chand, A., & Lal, S. P. (2013). Improving spam detection using neural networks trained by memetic algorithm. In Proceedings - 2013 5th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2013 (pp. 55-60). (Proceedings of International Conference on Computational Intelligence, Modelling and Simulation). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CIMSim.2013.18