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The massive unsolicited emails sent is normally said to be spam. It is quite not possible to describe the word spam more accurately. In all of its forms, a spam is considered as one of the difficult challenges of the linked generation. This in return drove a massive amount of research towards contradicting it. The mentioned effort led to the gradual decline of spamming activities which made many to end up believing spam is no longer a threat. However, recent thorough studies and statistics have concluded otherwise. In fact, about 66.34% of all e-mails sent worldwide are considered spam e-mails according to Kaspersky’s Spam and Phishing Statistics for the first quarter of 2014 which leads us to conclude that it is still an evolving phenomenon and is still an active cyber threat E-mail these days has become a popular and most favored means of communication over the Internet. The extent of email received and the amount of spam is constantly growing. Spam mails are defined as electronic messages posted to thousands of recipients usually for the purpose of advertisement or profit. Some of the spam emails modify as a phishing emails seeking users’ confidential data and accessing their bank accounts for financial fraud. Phishing is a fraudulent attempt aimed at capturing sensitive information such as usernames, passwords and credit card details by impersonating a trustworthy entity in an electronic communication. Apart from examining the attachments, the content alone may also be prone to word de-obfuscation technique to fool the spam filters [9]. 2. INFLUENCE OF SPAM/PHISHING ATTACKS Spear Phishing attacks are the new trends in spam landscape which targets the executives and higher officials whom have access to proprietary company data and corporate banking credentials. These confidential data are obtained from them by forwarding spoofed phishing mails and take control over the entire organization and may also use their identities to obtain information from the other users The reports from Trend Micro in July 2011 states that out of the total volume, the average share of spam with malicious attachments 23 per day was 2.14 percent. Spam without attachments, including messages that have been embedded with malicious links, can be further classified into job, medical and commercial, and scam spam. For the purpose of validating the performance of Spamdoop, we replicated a spammer’s behavior by constructing a spam campaign generator that imitates a commercially available spamming tool. Abstract: Spam has turned into the stage of decision utilized by digital law breakers to spread malignant payloads, for example, infections and Trojans. In view of this, the issue of early recognition of spam causes has been addressed. Communitarian spam location procedures can manage huge scale email information contributed by diverse sources, they have the prominent topic of requiring exposure of email content. Separation upkeep hashes are one of the normal arrangements applied for saving the security of email content while allowing message grouping for spam recognition. Anyhow, separate safeguarding hashes are not adaptable, along these lines making massive scale synergistic arrangements hard to represent. Spamdoop, a Big Data security safeguarding community oriented spam discovery stage based over a standard Map Reduce office has been projected. Spamdoop employs a very parallel encoding system that empowers the recognition of spam battles in aggressive circumstances. The outline has been judged by the execution, by utilizing a massive manufactured spam base and prove that the system performs positively against the creation and conveyance overhead of current spam age devices.

A Novel Approach for Collaborative Spam Filtering to Protect Mail box