Cybersecurity:Real-Time Anomaly Detection with Optimizing Encryption Key Selection

In the present society where computers and technology are considered as almost indispensable, data theft is a serious concern for organizations since information is often subject to being threatened by hackers. It has however been realized that conventional approaches to guard data by encryption is not fully capable of protecting the information from complex attacks of today. To address these issues, this research provides a modern multi-layer encryption model to enhance security measures in its various layers. The above proposed system primarily identifies the occurrence of such sensitive data within the current databases and then encodes the same data, which further goes through a two-stage encryption process. The first operation to be done is encryption followed by data partition where the data is split into two sections and the two partitions encrypted using two different keys. This means that recombined data is secured, and the problem is that the data can only be decrypted using both keys. That is useful not only in increasing the level of data protection but also in creating an extra barrier in entering into the system. The model employs some of the most superior encryption methods across the range and also has enhanced keys management. Combined with this approach the system addresses the risks components of constructive security and provides a practical solution for real time protection of the data. Besides, this research offers a new technique of data encryption that will rectify the shortcoming of the existing methods of data encryption to ensure the data remains secure irrespective of the evolving and transforming threats in the world wide web.