Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Nowadays Email is the most widely used communication system that enables the users to transfer their files that may be documents, images, audios, videos etc. Although email system serves for effective communication, it has a large drawback that it is highly exposed to spam. There are various schemes that helps to filter the spam mails. But all those schemes provide spam filtering in the receiver side. The disadvantages of using a spam filter in the receiver side are Wastage of the network Bandwidth required to transmit a spam mail, Wastage of the mail server storage and there is no way to reduce the spam sender’s activities. To overcome the above disadvantages, this paper suggests a method that detects the spam bots and blocks it at the sender side itself, using the bloom filter technique.
"Effective Scheme for Reducing Spam in Email System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 4, page no.51 - 56, April-2017, Available :http://www.ijrti.org/papers/IJRTI1704014.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator