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.