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Email Spam Detection Using Machine Learning Algorithms

机译:使用机器学习算法的电子邮件垃圾邮件检测

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摘要

Email Spam has become a major problem nowadays, with Rapid growth of internet users, Email spams is also increasing. People are using them for illegal and unethical conducts, phishing and fraud. Sending malicious link through spam emails which can harm our system and can also seek in into your system. Creating a fake profile and email account is much easy for the spammers, they pretend like a genuine person in their spam emails, these spammers target those peoples who are not aware about these frauds. So, it is needed to Identify those spam mails which are fraud, this project will identify those spam by using techniques of machine learning, this paper will discuss the machine learning algorithms and apply all these algorithm on our data sets and best algorithm is selected for the email spam detection having best precision and accuracy.
机译:电子邮件垃圾邮件已成为当今的主要问题,随着Internet用户的快速增长,电子邮件垃圾邮件也在增加。人们将其用于非法和不道德行为,网络钓鱼和欺诈。通过垃圾邮件发送恶意链接,这可能损害我们的系统,也可能侵入您的系统。对于垃圾邮件制造者而言,创建伪造的个人资料和电子邮件帐户非常容易,他们在垃圾邮件中伪装成一个真实的人,这些垃圾邮件攻击者针对的是那些不了解这些欺诈行为的人。因此,需要识别那些欺诈邮件,该项目将使用机器学习技术来识别那些垃圾邮件,本文将讨论机器学习算法,并将所有这些算法应用到我们的数据集上,并选择最佳算法作为垃圾邮件。具有最高精确度和准确性的电子邮件垃圾邮件检测。

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