A Tiered Approach To Cyber Forensics In The Distributed Data Environment

The rate of cybercrime has increased because of the extensive use of the internet-enabled technologies. Due to the data storage using the data-distributed services, establishing methods to track the records of theft is quite difficult due to the wide distribution of data servers in various countries. The major problem in the current scenario is the legal compliance such as jurisdiction of the data servers located in various continents. The cloud servers are normally distribute all over the world to prevent the data loss due to natural disasters etc. and it is very difficult to get the details of the various events happening at different places. This research paper discusses a new model for analyzing a huge volume of data with mixed types which will help the examiner identify the threat. The proposed model is composed of four steps: application analysis, operating system analysis, transaction analysis and forming an opinion. The model is independent of operating system and the application. For each transaction the model keeps a stamp of it and keeps all the details of the transaction as and when they happen.