SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals

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Contact UsThis paper is a case study detailing the replacement of a commercial E-mail filtering system with one made up of all Open Source Software. The main goals were to reduce delivery time, increase accuracy of spam and Malware detection and to reduce operating costs. The new system performed exceptionally well, catching a majority of E-mail borne viruses and spam with a total false positive rate not far off the target of less than one percent. The delivery times for inbound E-mail dropped considerably and were well below tolerable levels. Other than man hours spent researching and configuring the new system, there was no money spent implementing it. In conclusion, the final implementation worked well and is a suitable E-mail content filtering system that meets the needs of a company such as ours. What more can you ask for when something is fast, flexible and free.