C4.5: programs for machine learning
C4.5: programs for machine learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
A statistical approach to the spam problem
Linux Journal
Communications of the ACM - Program compaction
"In vivo" spam filtering: a challenge problem for KDD
ACM SIGKDD Explorations Newsletter
How to Win and Evolutionary Arms Race
IEEE Security and Privacy
Image Analysis for Efficient Categorization of Image-based Spam E-mail
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Information Sciences: an International Journal
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images
The Journal of Machine Learning Research
Image Spam Filtering Using Visual Information
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Detecting image spam using visual features and near duplicate detection
Proceedings of the 17th international conference on World Wide Web
Design and Evaluation of a Bayesian-filter-based Image Spam Filtering Method
ISA '08 Proceedings of the 2008 International Conference on Information Security and Assurance (isa 2008)
Evaluation of spam detection and prevention frameworks for email and image spam: a state of art
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Detecting image spam using local invariant features and pyramid match kernel
Proceedings of the 18th international conference on World wide web
Image spam filtering using Fourier-Mellin invariant features
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
A Simple Method for Filtering Image Spam
ICIS '09 Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science
Filtering Image Spam Using Image Semantics and Near-Duplicate Detection
ICICTA '09 Proceedings of the 2009 Second International Conference on Intelligent Computation Technology and Automation - Volume 01
Language-model-based detection cascade for efficient classification of image-based spam e-mail
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Efficient Modeling of Spam Images
IITSI '10 Proceedings of the 2010 Third International Symposium on Intelligent Information Technology and Security Informatics
Support vector machines for spam categorization
IEEE Transactions on Neural Networks
SDAI: An integral evaluation methodology for content-based spam filtering models
Expert Systems with Applications: An International Journal
A survey of image spamming and filtering techniques
Artificial Intelligence Review
Hybrid email spam detection model with negative selection algorithm and differential evolution
Engineering Applications of Artificial Intelligence
Hi-index | 0.10 |
In their arms race against developers of spam filters, spammers have recently introduced the image spam trick to make the analysis of emails' body text ineffective. It consists in embedding the spam message into an attached image, which is often randomly modified to evade signature-based detection, and obfuscated to prevent text recognition by OCR tools. Detecting image spam turns out to be an interesting instance of the problem of content-based filtering of multimedia data in adversarial environments, which is gaining increasing relevance in several applications and media. In this paper we give a comprehensive survey and categorisation of computer vision and pattern recognition techniques proposed so far against image spam, and make an experimental analysis and comparison of some of them on real, publicly available data sets.