Evaluating Grayware Characteristics and Risks
المؤلفون المشاركون
Zhang, Yuan
Chen, Zhongqiang
Chen, Zhongrong
Liang, Zhanyan
المصدر
Journal of Computer Networks and Communications
العدد
المجلد 2011، العدد 2011 (31 ديسمبر/كانون الأول 2011)، ص ص. 1-28، 28ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2011-10-04
دولة النشر
مصر
عدد الصفحات
28
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Grayware encyclopedias collect known species to provide information for incident analysis, however, the lack of categorization and generalization capability renders them ineffective in the development of defense strategies against clustered strains.
A grayware categorization framework is therefore proposed here to not only classify grayware according to diverse taxonomic features but also facilitate evaluations on grayware risk to cyberspace.
Armed with Support Vector Machines, the framework builds learning models based on training data extracted automatically from grayware encyclopedias and visualizes categorization results with Self-Organizing Maps.
The features used in learning models are selected with information gain and the high dimensionality of feature space is reduced by word stemming and stopword removal process.
The grayware categorizations on diversified features reveal that grayware typically attempts to improve its penetration rate by resorting to multiple installation mechanisms and reduced code footprints.
The framework also shows that grayware evades detection by attacking victims' security applications and resists being removed by enhancing its clotting capability with infected hosts.
Our analysis further points out that species in categories Spyware and Adware continue to dominate the grayware landscape and impose extremely critical threats to the Internet ecosystem.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Zhongqiang& Liang, Zhanyan& Zhang, Yuan& Chen, Zhongrong. 2011. Evaluating Grayware Characteristics and Risks. Journal of Computer Networks and Communications،Vol. 2011, no. 2011, pp.1-28.
https://search.emarefa.net/detail/BIM-481533
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Zhongqiang…[et al.]. Evaluating Grayware Characteristics and Risks. Journal of Computer Networks and Communications No. 2011 (2011), pp.1-28.
https://search.emarefa.net/detail/BIM-481533
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Zhongqiang& Liang, Zhanyan& Zhang, Yuan& Chen, Zhongrong. Evaluating Grayware Characteristics and Risks. Journal of Computer Networks and Communications. 2011. Vol. 2011, no. 2011, pp.1-28.
https://search.emarefa.net/detail/BIM-481533
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-481533
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر