Boosting Precision: Strategies for Improving Spam Detection in Cloud-Based Email Services
V. Mohan, Rohitha Papolu, Sowjanya Malleboina, Sravya Madiraju · 2024
Cloud-based email services have become the primary means of communication in the digital age, making efficient spam detection an essential component in ensuring the integrity and security of electronic communications. This research paper addresses the pressing challenge of enhancing the precision of spam detection algorithms within the context of cloud-based email services. The primary goal of this study is to investigate novel strategies that reduce the occurrence of false positives in spam detection, without compromising the detection of true spam messages. False positives, or legitimate emails incorrectly classified as spam, not only inconvenience users but can also lead to the loss of important information. Striking the right balance between accurate spam identification and minimal false positives is crucial for the effectiveness of spam filters. The paper commences with a comprehensive review of the current landscape of spam detection in cloud-based email services. It discusses the inherent challenges associated with precision and the detrimental consequences of false positives, such as missed communications and potential data breaches. Additionally, it highlights the evolving nature of spam and the need for adaptive and context-aware solutions.