Добро пожаловать в клуб

Показать / Спрятать  Домой  Новости Статьи Файлы Форум Web ссылки F.A.Q. Логобург    Показать / Спрятать

       
Поиск   
Главное меню
ДомойНовостиСтатьиПостановка звуковФайлыДефектологияКнижный мирФорумСловарьРассылкаКаталог ссылокРейтинг пользователейЧаВо(FAQ)КонкурсWeb магазинШкольникамКарта сайта

Поздравляем!
Поздравляем нового Логобуржца toppolenok со вступлением в клуб!

Реклама

КНИЖНЫЙ МИР

Classification of Malware   Ravindar Reddy Ravula

Classification of Malware

108 страниц. 2011 год.
LAP Lambert Academic Publishing
Malware (Malicious Software) has become one of the major threats to today’s computing world. Although Antivirus programs provide primary line of defense and detect previously known malware, they, along with other detection mechanisms falling short of detecting present day new and unknown complex malware. In this work, a new approach to detect malware, which uses reverse engineering and machine learning techniques was proposed and implemented. While Reverse Engineering was used to analyze malware, genuine software and extract important features and construct datasets from those features, machine learning techniques were used to build classification models, which would classify a new executable as either malware or genuine software.
 
- Генерация страницы: 0.05 секунд -