Abstract:

Reports on Google After the deployment of Tensor flow, its open source machine-learning platform, to support existing spam detection, Gmail is blocking 100 million more spam emails every day. In Gmail, machine learning is nothing new. In order to identify spam, Google has long used machine-learning models and rule-based filters. According to reports, the company's current security measures have stopped more than 99.9% of spam, phishing, and malware from reaching Gmail inboxes. Attackers of today look for fresh ways to target the 5 million commercial clients and 1.5 billion users of Gmail with cutting-edge threats. The amount of unwanted emails has increased due to the increased usage of social media globally, making the implementation of a reliable system to filter out such issues necessary. Email spam is the most prevalent issue.

Description:

Machine learning, Deep learning, Convolution Neural Networks, LSTM, Bi- LSTM.