Cancer is a disease, where cells grow out of control, divide and attack other tissues of the patient. There are many forms of cancer, among which the "Gallbladder Cancer" is relatively uncommon. This cancer can be permanently cured only by removing the Gallbladder. Else, the patient must be treated with high dosage of medicine for the survival, which in turn cures the disease but reduces the lifetime of the patient. Instead, if the gall bladder cancer is predicted at the earlier stage, it can be cured by treating with less dosage of medicines. In the proposed methodology, earlier detection of gall bladder cancer is done through imaging, which contains three major steps as, Pre-processing, Feature Extraction and Feature Classification. The noise in the image can be removed using Pre-processing step. The essential features for the cancer prediction can be extracted from the segmented image. Further, using decision tree algorithm, gallbladder cancer prediction is done.

Software security has become a very critical part of our lives. A software developer who has a fundamental understanding of software security can have an advantage in the workplace. In the massive Equifax breach that occurred in 2017 that exposed data of roughly 140 million people, attackers exploited a vulnerability in Apache Struts, CVE-2017-5638, which allows remote attackers to execute arbitrary commands when specially crafting user-controlled data in HTTP headers. Sensitive data exposure issues are essential to know to protect customer data. It is fascinating to understand how attackers can exploit application vulnerabilities to perform malicious activities. The authors also want the reader to be aware of the fact that we should always be thinking about how our applications handle user-controlled data so that we can put guards in place to minimize security issues in the development of new applications.