Botnet Detection Method Based on Permutation Entropy and Clustering Variance
نویسندگان
چکیده
منابع مشابه
Botnet Detection using Clustering Algorithms
In this paper, some clustering techniques are analyzed to compare their ability to detect botnet traffic by selecting features that distinguish connections belonging to or not belonging to a botnet. By considering the history of network’s connections, some clustering algorithms are used to derive a set of rules to decide which should be considered as a botnet. Our main contribution is to evalua...
متن کاملBotRevealer: Behavioral Detection of Botnets based on Botnet Life-cycle
Nowadays, botnets are considered as essential tools for planning serious cyberattacks. Botnets are used to perform various malicious activities such as DDoSattacks and sending spam emails. Different approaches are presented to detectbotnets; however most of them may be ineffective when there are only a fewinfected hosts in monitored network, as they rely on similarity in...
متن کاملAdaptability of IRC Botnet Detection Method to P2P Botnet Detection
This report mainly discusses the adaptability of the IRC-based Bot detection method to be used in the P2P-based Bot detection. The first section introduces the IRC-based bot and the newly appeared P2P-based bot to see their difference. The second section shows the related work and the traditional method of BOTNET detection. The third section discusses the methodology used by the IRC based Botne...
متن کاملEntropy-based Consensus for Distributed Data Clustering
The increasingly larger scale of available data and the more restrictive concerns on their privacy are some of the challenging aspects of data mining today. In this paper, Entropy-based Consensus on Cluster Centers (EC3) is introduced for clustering in distributed systems with a consideration for confidentiality of data; i.e. it is the negotiations among local cluster centers that are used in t...
متن کاملFast target detection method for high-resolution SAR images based on variance weighted information entropy
Since the traditional CFAR algorithm is not suitable for high-resolution target detection of synthetic aperture radar (SAR) images, a new two-stage target detection method based on variance weighted information entropy is proposed in this paper. On the first stage, the regions of interest (ROIs) in SAR image is extracted based on the variance weighted information entropy (WIE), which has been p...
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: DEStech Transactions on Engineering and Technology Research
سال: 2017
ISSN: 2475-885X
DOI: 10.12783/dtetr/ismii2017/16661