| Popis: |
Due to the drastic and exponential growth of information systems and their use, the technology has taken a quantum leap. To ensure safe data transportation, different protection systems are used, such as intrusion detection systems, intrusion prevention systems, and firewalls. In this chapter, the proposed system has an anomaly-based cyber threats detection system using advanced machine learning algorithms. The anomaly-based detection system was used to analyze repackage signatures of malware which is not predefined. Machine learning with the use of previous datasets and algorithms to make the IDS intelligent. In this chapter, the authors use K-NN, which takes the similarity between new attack footprints and compare it with the older footprints in the dataset, and tell which has a higher resemblance. The major challenges of this IDS are minimization of false alarms and gaining high accuracy. The proposed IDS system is not only tested manually but is tested by automated utilities as well, and minimizing of overfitting and underfitting is also checked. |
