Current implementations of intrusion detection systems (IDSs) have two drawbacks: 1) they normally generate far too many false positives, overloading human operators to such an extent that they can not respond effectively to the real alerts; 2) depending on the proportion of genuine attacks within the total network traffic, an IDS may never be effective. One approach to overcoming these obstacles is to correlate information from a wide variety of networks sensors, not just IDSs, in order to obtain a more complete picture on which to base decisions as to whether alerted events represent malicious activity or not. The challenge in such an analysis is the generation of the correlation rules that are to be used. At present, creating these rules is a time consuming manual task that requires expert knowledge. This work describes how data mining, specifically the k-means clustering technique, can be employed to assist in the semi-automatic generation of such correlation rules.
Brachytherapy is a well-established treatment for localised prostate cancer. Urologists are often tasked with discussing all available treatment options with the newly diagnosed patient. Unlike radical prostatectomy and external beam radiotherapy, knowledge of brachytherapy may be limited. The aim of this article is to provide an up-to-date guide on patient selection, modern brachytherapy techniques and the management of side effects, such that the core urologist can be more confident in both discussing initial treatment options and the long-term management of brachytherapy patients. Level of Evidence: Level 5 - review article
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.