FlowSummary: Summarizing Network Flows for Communication Periodicity Detection

نویسندگان

  • Neminath Hubballi
  • Deepanshu Goyal
چکیده

Data summarization is an important technique to understand large datasets and discover useful patterns. In this paper we formulate a problem of summarizing network flow data to discover periodic communication behavior. An efficient implementation method for discovering periodic patterns is described in this paper and it has successfully discovered such patterns in a simulated and real

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Cyclic Scheduling of Multimodal Processes in Crystalline-like Network Structures

The paper introduces the concept of a crystalline-like model of a computer communication network (CCN) composed of routers forming a repeating or periodic arrangement. The considered homogenous network assumes the same routers servicing the same number of transmissions form an array. In such a network several isomorphic sub-networks encompassing packet transmission processes serviced by each ro...

متن کامل

Policy Model for Sharing Network Slices in 5G Core Network

As mobile data traffic increases, and the number of services provided by the mobile network increases, service load flows as well, which requires changing in the principles, models, and strategies for media transmission streams serving to guarantee the given nature of giving a wide scope of services in Flexible and cost-effective. Right now, the fundamental question remains what number of netwo...

متن کامل

Behavioral Analysis of Traffic Flow for an Effective Network Traffic Identification

Fast and accurate network traffic identification is becoming essential for network management, high quality of service control and early detection of network traffic abnormalities. Techniques based on statistical features of packet flows have recently become popular for network classification due to the limitations of traditional port and payload based methods. In this paper, we propose a metho...

متن کامل

Feature Extraction to Identify Network Traffic with Considering Packet Loss Effects

There are huge petitions of network traffic coming from various applications on Internet. In dealing with this volume of network traffic, network management plays a crucial rule. Traffic classification is a basic technique which is used by Internet service providers (ISP) to manage network resources and to guarantee Internet security. In addition, growing bandwidth usage, at one hand, and limit...

متن کامل

Detection of Covert Botnet Command and Control Channels by Causal Analysis of Traffic Flows

The Command and Control communication of a botnet is evolving into sophisticated covert communication. Techniques as encryption, steganography, and recently the use of social network websites as a proxy, impede conventional detection of botnet communication. In this paper we propose detection of covert communication by passive hostexternal analysis of causal relationships between traffic flows ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013