Identifying the data sensitivity in web mining

Now a days Information is crucial in all aspects. This paper introduces the analysis of data sensitivity in web mining. The term sensitive data applies broadly to information for which access or disclosure may be assigned some degree of sensitivity, and therefore, for which some degree of protection or access restriction is defensible. Unauthorized access to or disclosure of information could result in a serious adverse effect, cause financial loss, cause damage to the reputation of the organization and loss of confidence. Loss, misuse, modification or unauthorized access to sensitive data can distress or harmfully affect the privacy of an individual or an organization. To ensure sensitive data there are several tools like Spider,Senf, PowerGREP etc.

The process of sensitive data mining operation becomes an ethical issue when the results are used in decision making processes that effect people, or when mining customer data unwittingly compromises the privacy of the customers. data sensitivity will improve the quality and helps to achieve the market competitors. Therefore, concluding that it is to everyone’s advantage to ensure that sensitive data is protected.