Enhancing Spam Detection: An Improved Bloom Filter Approach with Reduced False Positive Rates

Abstract

In the age of big data, the prevalence and impact of spam are increasing significantly. The anti-spam software integrated into many corporate email systems is becoming increasingly ineffective at managing the growing volume of spam. This paper explores an enhanced spam detection method based on the Bloom Filter. This method is straightforward, efficient, easy to implement, and exhibits a significantly lower false positive rate compared to the traditional Bloom Filter.