Adaptive Distributed Intrusion Detection using Hybrid K-means SVM Algorithm

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Adaptive Distributed Intrusion Detection using Hybrid K-means SVM Algorithm

Assuring secure and reliable operation of networks has become a priority research area these days because of ever growing dependency on network technology. Intrusion detection systems (IDS) are used as the last line of defence. IDS identifies patterns of known intrusions (misuse detection) or differentiates anomalous network data from normal data (anomaly detection). In this paper, a novel Intr...

متن کامل

Adaptive Distributed Intrusion Detection using Hybrid

Assuring secure and reliable operation of networks has become a priority research area these days because of ever growing dependency on network technology. Intrusion detection systems (IDS) are used as the last line of defense. Intrusion Detection System identifies patterns of known intrusions (misuse detection) or differentiates anomalous network data from normal data (anomaly detection). In t...

متن کامل

The Improved K-means Algorithm in Intrusion Detection System Research

To improve the efficiency of Internet intrusion detection, data mining is adopted in intrusion detection. The paper introduces the concept of intrusion detection and k-means algorithm. For the defect of K-means algorithm, it proposes an improved K-means algorithm. Experiments show that the improved k-means algorithm can get a better detection rate. Introduction With the rapid development and wi...

متن کامل

Distributed k-means algorithm

In this paper we provide a fully distributed implementation of the k-means clustering algorithm, intended for wireless sensor networks where each agent is endowed with a possibly high-dimensional observation (e.g., position, humidity, temperature, etc.). The proposed algorithm, by means of one-hop communication, partitions the agents into measure-dependent groups that have small ingroup and lar...

متن کامل

A Hybrid Data Clustering Algorithm Using Modified Krill Herd Algorithm and K-MEANS

Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorithm. K-means is simple and easy to implement, but it suffers from initialization of cluster center and hence trapped in local optimum. In this paper...

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

ژورنال

عنوان ژورنال: International Journal of Computer Applications

سال: 2013

ISSN: 0975-8887

DOI: 10.5120/12963-0145