A survey of image spamming and filtering techniques

Artificial Intelligence Review

Volumn 40, Issue 1, 2013, Pages 71-105

  Attar, Abdolrahman ^a   Rad, Reza Moradi ^a   Atani, Reza Ebrahimi ^a  

^a UNIVERSITY OF GUILAN   (Iran)

Author keywords

Image classification; Image spam; Spam filtering techniques

Indexed keywords

CONTENT-BASED; DATA SET; EXPERIMENTAL EVALUATION; FILTERING TECHNIQUE; IMAGE SPAM; IMAGE-BASED SPAM; SPAM FILTERING TECHNIQUE; SPAMMERS;

CLASSIFICATION (OF INFORMATION); INTERNET; MILITARY PHOTOGRAPHY; SPAMMING; SURVEYS; TEXT PROCESSING;

IMAGE CLASSIFICATION;

EID: 84878115018     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10462-011-9280-4     Document Type: Review

References (59)

1. Aradhye HB, Myers GK, Herson JA (2005) Image analysis for efficient categorization of image-based spam e-mail. In: Eight international conference on document analysis and recognition (ICDAR'05), IEEE, Korea
2. Biggio B, Fumera G, Pillai I, Roli F (2007) Image spam filtering using visual information. In: The 14th international conference on image analysis and processing, Modena, Italy, 10-14 September 2007. IEEE Computer Society, pp 105-110
3. Biggio B, Fumera G, Pillai I, Roli F (2007) Image spam filtering by content obscuring detection. In: The 4th conference on email and AntiSpam, CEAS2007, Mountain View, California, USA, August 2007
4. Biggio B, Fumera G, Pillai I, Roli F (2008) Improving image spam filtering using image text features. In: Fifth conference on email and anti-spam (CEAS 2008), Mountain View, CA, USA
5. Biggio B, Fumera G, Pillai I, Roli F (2011) A survey and experimental evaluation of image spam filtering techniques. Pattern Recogn Lett (in press)
6. Blanzieri E, Bryl A (2009) A survey of learning-based techniques of email spam filtering. J Artif Intell Rev
7. Chen W, Zhang C (2009) Image spam clustering - an unsupervised approach. In: Proceedings of the first ACM workshop on multimedia in forensics, China, October 2009
8. Cheng H, Qin Z, Fu C, Wang Y (2010) Novel spam image filtering framework with multi-label classification. In: International conference on communications, circuits and systems (ICCCAS), China
9. Chew M, Tygar JD (2004) Image recognition CAPTCHAs. In: 7th International information security conference, ISC2004, Palo Alto, CA, USA, September 2004
10. Dredze M, Gevaryahu R, Elias-Bachrach A (2007) Learning fast classifiers for image spam. In: Proceedings of the 4th conference on email and anti-spam (CEAS), California, USA
11. Fritsch Ch, Netter M, Reisser A, Pernul G (2010) Attacking image recognition captchas. In: The 7th international conference, TrustBus 2010, Bilbao, Spain, August, 2010
12. Fumera G, Pillai I, Roli F (2006) Spam filtering based on the analysis of text information embedded into images. J Mach Learn Res 7: 2699-2720
13. Fumera G, Pillai I, Roli F, Biggio B (2007) Image spam filtering using textual and visual information. In: The MIT spam conference 2007, Cambridge, USA, March 2007
14. Gao Y (2009) Choudhary a active learning image spam hunter. In: 5th International symposium on visual computing (ISVC), USA
15. Gao Y, Yang M, Zhao X, Pardo B, Wu Y, Pappas TN, Choudhary A (2008) Image spam hunter. Acoustics, speech and signal processing ICASSP. In: IEEE international conference on ICASSP, IEEE, USA
16. Gao Y, Yang M, Choudhary A (2009)Semi supervised image spam hunter: a regularized discriminant EM approach. In: The international conference on advanced data mining and applications (ADMA), China
17. Gao Y, Choudhary A, Hua G (2010) A nonnegative sparsity induced similarity measure with application to cluster analysis of spam images. In: International conference on acoustics speech and signal processing (ICASSP), USA
18. Gargiulo F, Sansone C (2008) Combining visual and textual features for filtering spam emails. In: 19th International conference on pattern recognition (ICPR), USA
19. Gargiulo F, Penta A, Picariello A, Sansone C (2008) Using heterogeneous features for anti-spam filters. In: 19th International conference on database and expert systems application, Italy
20. Gargiulo F, Penta A, Picariello A, Sansone C (2009) A personal anti spam system based on a behaviour-knowledge space approach. Springer J Stud Comput Intell, vol 245
21. Goodman J, Heckerman D, Rounthwaite R (2005) Stopping spam. Scientific American, USA
22. Hayati P, Potdar V (2008) Evaluation of spam detection and prevention frameworks for email and image spam - a state of art. In: Proceedings of iiWAS, ACM, Linz, Austria
23. He P, Sun Y, Zheng W, Wen X (2008) Filtering short message spam of group sending using CAPTCHA. In: IEEE, workshop on knowledge discovery and data mining, Australia, March 2008
24. He P, Wen X, Zheng W (2009) A simple method for filtering image spam. In: ACIS international conference on computer and information science, IEEE, Australia-Japan
25. Huang H, Guo W, Zhang Y (2008) A novel method for image spam filtering. In: The 9th international conference for young computer scientists
26. Issac B, Raman V (2006) Spam detection proposal in regular and text-based image emails. In: IEEE Region 10 Conference TENCON, China
27. Jithesh K, Sulochana KG, Kumar RR (2003) Optical character recognition (OCR) system for Malayalam language. In: National Workshop on application of language technology in Indian languages
28. Johnston N (2007) Spam evolves, PDF becomes the latest threat. Anti-Spam Development at MessageLabs, A MessageLabs Whitepaper, August 2007
29. Kelly N (2007) Image spam: the new email scourge. McAfee, Inc. 3965 Freedom Circle Santa Clara, CA 95054, 888.847.8766 www.mcafee.com
30. Kim J, Kim SH, Yang HJ, Son HJ, Kim WP (2007) Text extraction for spam-mail image filtering using a text color estimation technique. In: The 20th international conference on industrial, engineering and other applications of applied intelligent systems, IEA/AIE, Japan, June 2007
31. Kim H, Chang H, Lee J, Lee D (2010) BASIL: effective near-duplicate image detection using gene sequence alignment. In: 32nd European conference on information retrieval. Springer, UK
32. Klangpraphant P, Bhattarakosol P (2010) PIMSI: A partial image SPAM inspector. In: 5th International conference on future information technology (FutureTech), Thailand
33. Krasser S, Tang Y, Gould J, Alperovitch D, Judge P (2007) Identifying image spam based on header and file properties using C4.5 decision trees and support vector machine learning. In: Proceedings of the IEEE, workshop on information assurance, United States Military Academy, West Point
34. Lang SR, Williams N (2010) Impeding CAPTCHA breakers with visual decryption. In: The 8th Australasian information security conference (AISC 2010), Brisbane, Australia
35. Lawton G (2007) News briefs. Published by the IEEE Computer Society
36. Liu Q, Zhang F, Qin Z, Wang C, Chen S, Ma Q (2010) Feature selection for image spam classification. In: International conference on communications, circuits and systems (ICCCAS), China
37. Liu T, Tsao W, Lee C (2010) A high performance image-spam filtering system. In: Ninth international symposium on distributed computing and applications to business, engineering and science, China
38. Liu Q, Qin Z, Cheng H, Wan M (2010) Efficient modeling of spam images. In: 3th International symposium on intelligent information technology and security informatics, IEEE, China
39. Ma W, Tran D, Sharma D (2006) Detecting image based spam email. In: Proceedings of the Asia-Pacific workshop on visual information processing, Asia-Pacific Workshop on Visual Information Processing, Beijing, China
40. Mehta B, Nangia S, Gupta M, Nejdl W (2008) Detecting image spam using visual features and near duplicate detection. security and privacy. ACM, Beijing
41. Nhung N, Phuong T (2007) An efficient method for filtering image-based spam E-mail, research, innovation and vision for the future. IEEE International, Vietnam
42. Nielson J, Castro D, Aycock J (2008) Image Spam - ASCII to the Rescue!. In: 3rd International conference on malicious and unwanted software (MALWARE), USA
43. Qu Z, Zhang Y (2009) Filtering image spam using image semantics and near-duplicate detection. In: Second international conference on intelligent computation technology and automation, IEEE, China
44. Rusu A, Govindaraju V (2004) Handwritten CAPTCHA: using the difference in the abilities of humans and machines in reading handwritten words. In: 9th International workshop on frontiers in handwriting recognition (IWFHR-9 2004), IEEE, Japan
45. Saraubon K, Limthanmaphon B (2009) Fast effective botnet spam detection. In: Fourth international conference on computer sciences and convergence information technology, Korea
46. Soranamageswari M, Meena C (2010) Statistical feature extraction for classification of image spam using artificial neural networks. In: 2nd International conference on machine learning and computing, IEEE Press, Bangalore, India
47. Stone B (2006) Spam doubles, finding new ways to deliver itself. The New York Times, A01 6. E
48. Stern H (2008) A survey of modern spam tools. In: The fifth conference on email and anti-spam, CEAS, Mountain View, USA
49. Stuart I, Cha H, Tappert C (2004) A neural network classifier for junk mail. Springer, Link, pp 442-450
50. Thomas R, Samosseiko D (2006) The game goes on: an analysis of modern spam techniques. Virus Bulletin conference, VB2006, October, Canada
51. Uemura M, Tabat T (2008) Design and evaluation of a Bayesian-filter-based image spam filtering method. In: International conference on information security and assurance, IEEE Press, Busan, Korea
52. Wang Z, Josephson W, Lv Q, Charikar M, Li K (2007) Filtering image spam with near-duplicate detection. In: Fourth conference on email and anti-spam, Mountain View, CA, USA
53. Wang C, Zhang F, Li F, Liu Q (2010) Image spam classifcation based on low-level image features. In: IEEE international conference on communications, circuits and systems (ICCCAS 2010), Chengdu, China, July, 2010
54. Wu C, Cheng K, Zhu Q, Wu Y (2005) Using visual features for anti-spam filtering. In: IEEE international conference on image processing III, pp 501-504
55. Ye M, Tao T, Mai FJ, Cheng XH (2008) An spam discrimination based on mail header feature and SVM. In: The 4th international conference on wireless communications, networking and mobile computing, WiCOM '08, China, November, 2008
56. Youn S, McLeod D (2009) Improved spam filtering by extraction of information from text embedded image E-mail. In: Proceedings of the ACM symposium on applied computing, USA
57. Zinman A, Donath J (2007) Is Britney spears spam? In: Fourth conference on email and anti-spam mountain view, California, USA, August 2007
58. Zhen X, Hong-guo W, Zeng-zhen S (2009) Evaluation of image spam classification system based on AHP. In: International conference on computational intelligence and software engineering (CiSE), China
59. Zuo H, Hu W, Wu O, Chen Y, Luo G (2009) Detecting image spam using local invariant features and pyramid match kernel. In: 18th International world wide web conference (WWW), Spain