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Title: :  Detection and Blocking of Image Spammers
PaperId: :  2299
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2299
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
vivek khirasariaGTU
Bhadreshsinh GohilGTU

Abstract

Computer Engineering
Spam, Image Spam, Spammers.
Spammers continues to uses new methods and the types of email content becomes more difficult, text-based anti-spam methods are not good enough to prevent spam. Spam image making techniques are designed to bypass well-known image spam detection algorithms like optical character recognition (OCR) algorithm. As the use different methods to create image spam are increased, there must be an algorithm to prevent this type of spams. So using the different properties of images attached in the mail like width and height indicated in header of image, the aspect ratio of width and height, file size, image area, compression, owner, colors and file format of image. We can develop an algorithm which is used to detect the spam based images using the properties of the attached images. Also it is maintains a database for email addresses of spammers and blockthe email address based on result of detection process.

Citations

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IJARIIE vivek khirasaria, and Bhadreshsinh Gohil. "Detection and Blocking of Image Spammers" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 2475-2479
MLA vivek khirasaria, and Bhadreshsinh Gohil. "Detection and Blocking of Image Spammers." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 2475-2479.
APA vivek khirasaria, & Bhadreshsinh Gohil. (2016). Detection and Blocking of Image Spammers. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 2475-2479.
Chicago vivek khirasaria, and Bhadreshsinh Gohil. "Detection and Blocking of Image Spammers." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 2475-2479.
Oxford vivek khirasaria, and Bhadreshsinh Gohil. 'Detection and Blocking of Image Spammers', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 2475-2479. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Detection_and_Blocking_of_Image_Spammers_ijariie2299.pdf (Accessed : 10 February 2022).
Harvard vivek khirasaria, and Bhadreshsinh Gohil. (2016) 'Detection and Blocking of Image Spammers', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 2475-2479IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Detection_and_Blocking_of_Image_Spammers_ijariie2299.pdf (Accessed : 10 February 2022)
IEEE vivek khirasaria, and Bhadreshsinh Gohil, "Detection and Blocking of Image Spammers," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 2475-2479, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/Detection_and_Blocking_of_Image_Spammers_ijariie2299.pdf [Accessed : 10 February 2022].
Turabian vivek khirasaria, and Bhadreshsinh Gohil. "Detection and Blocking of Image Spammers." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 (10 February 2022).
Vancouver vivek khirasaria, and Bhadreshsinh Gohil. Detection and Blocking of Image Spammers. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 10 February 2022]; 2(3) : 2475-2479. Available from: https://ijariie.com/AdminUploadPdf/Detection_and_Blocking_of_Image_Spammers_ijariie2299.pdf
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