Automated feature engineering for HTTP tunnel detection
نویسندگان
چکیده
منابع مشابه
Automated Feature Weighting for Network Anomaly Detection
A number of network features is used to describe normal and intrusive traffic patterns. However the choice of features is dependent on which pattern to be detected. In order to identify which network features are more important for a particular network pattern, we propose an automated feature weighting method based on a fuzzy subspace approach to vector quantization modeling that can assign a w...
متن کاملRevealing the Feature Influence in HTTP Botnet Detection
Botnet are identified as one of most emerging threats due to Cybercriminals work diligently to make most of the part of the users’ network of computers as their target. In conjunction with that, many researchers has conduct a lot of study regarding on the botnets and ways to detect botnet in network traffic. Most of them only used the feature inside the system without mentioning the feature inf...
متن کاملAutomated Feature Recognition System for supporting conceptual engineering design
A computer based Feature-Recognition (FR) process is being developed to extract critical manufacturing features from engineering product CAD models. Feature-recognition technology is used for automating the extraction of data from CAD product models to minimise redundant user interaction with a product model. The feature-recognition process was developed using rule-based methods with wire-frame...
متن کاملislanding detection methods for microgrids
امروزه استفاده از منابع انرژی پراکنده کاربرد وسیعی یافته است . اگر چه این منابع بسیاری از مشکلات شبکه را حل می کنند اما زیاد شدن آنها مسائل فراوانی برای سیستم قدرت به همراه دارد . استفاده از میکروشبکه راه حلی است که علاوه بر استفاده از مزایای منابع انرژی پراکنده برخی از مشکلات ایجاد شده توسط آنها را نیز منتفی می کند . همچنین میکروشبکه ها کیفیت برق و قابلیت اطمینان تامین انرژی مشترکان را افزایش ...
15 صفحه اولAutomated Feature Detection in Multidimensional images
Manual identification of structures and features in multidimensional images is at best time consuming and operator dependent. Feature identification need to be accurate, repeatable and quantitative. This thesis presents novel methods for automated feature detection in multidimensional images that are independent on imaging modality. Feature detection is described at two abstraction levels. At t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers & Security
سال: 2016
ISSN: 0167-4048
DOI: 10.1016/j.cose.2016.01.006