In present circumstances, the large enterprises and hospitals are dependent on data, these data will manage through the database server. There is a challenging task to manage the clinical data, which takes more time to retrieve the records of the patient. Therefore, we use Data mining techniques to resolve this type of problem and proposed the Medical Information System that easily manage the daily patient records. These databases are useful for conducting daily clinical data and routine work of the hospitals. There is a huge competition in the market which conduct to start the data mining and warehousing concepts to analyze the clinical data to derive new techniques and discover better ways in carrying out the routine work of the hospitals. The mining procedure will be applied to the consistent databases, which will be converted into the warehouses. In this paper, we propose a methodology for the construction of a data warehouse for a medical information system using data mining techniques. The data warehouse is based on the informational database which is built by the transformation of the operational database. A data analyst can analyze the data and take decisions. They propose the suggestions and predict the diseases with the help of data. We also propose the clinical data warehouse model which is based upon data mining techniques. The overall system is implemented to serve as a data repository for the medical information system.

The Dark Web is a difficult and anonymous network used by cybercriminals, terrorists, and state-sponsored agents to carry out their illicit goals. Dark web cybercrime is very similar to offline crime. However, the vastness of the Dark Web, its unpredictable ecology, and the anonymity it provides are all obstacles that must be overcome in order to track down criminals. To reach the dark web, which is not indexed by search engines, you must use the anonymous Tor browser. The anonymity and covert nature of the network make it ideal for criminal activity and the launch of carefully orchestrated, malicious assaults. Online criminal activity is rampant and getting more intense, according to specialists in cyber security. This chapter has provided a thorough analysis of the various attacks and attack strategies utilized on the dark web. In addition, the authors examine the strengths and weaknesses of the various methods currently in use for threat detection, and how they apply to anonymity networks such as Tor, I2P, and Freenet.