Network_Intrusion_Dataset_metasploitable.csv

In recent times, companies have witnessed a notable surge in ransomware attacks directed at their esteemed clientele. These attacks have undergone a marked evolution, exhibiting heightened levels of sophistication that frequently bypass conventional security protocols.
As these companies continues to grapple with this evolving threat landscape, An unwavering commitment to innovation and expertise remains paramount in safeguarding clients' critical assets and preserving their confidence in the face of such challenges.
Rationale for the Project: In this age, a lot of crime involves malicious actors infiltrating a system, encrypting critical data, and demanding a ransom for its release. This necessitates the ability to detect ransomware and network intrusion.
Aim of the Project: Develop an Effective Network Intrusion Detection System, Minimize False Positives and False Negatives, Ensure explainable predictions