System for detecting classes of automated browser agents
Опубликовано: 24-08-2016
Автор(ы): Daniel Kaminsky, Michael J.J. Tiffany
Принадлежит: Individual
Реферат: A method for determining if a web browser is being operated by a human or a non-human agent, based on analysis of certain aspects of how a user interacts with a webpage. By placing a code snippet into the code of a webpage prior to a given user accessing thai webpage, one is able to evaluate the user's actions in order to predict the type of user. The predictions are made by acquiring information on how the user loads, navigates, and interacts with the webpage and comparing that information with statistics taken from a control group. Performance metrics from all webpages containing similar code elements are compiled by analysis servers and made a vailable to the operator of a webpage through a variety of reporting mediums. By compiling such performance metrics, the method helps combat and prevent malicious automated traffic directed at advertisements and other aspects of a given webpage.
Systems and methods for detecting ransomware attacks on file sharing systems
Номер патента: US20230262089A1. Автор: Yevgeni Gehtman,Tomer Shachar,Maxim Balin. Владелец: Dell Products LP. Дата публикации: 2023-08-17.