Anomaly based IDS using Backpropagation Neural Network

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

Anomaly-based detection using synergetic neural network

Network traffic anomaly detection has become a popular research tendency, as it can detect new type attacks in real time. However, the network traffic appears as a complex dynamic system, causing by the collaboration of many network factors. Although various methods have been proposed to detect anomalies, they are mostly based on the traditional statistical physics. In these methods, all factor...

متن کامل

A Neural Network Based Character Recognition System Using Double Backpropagation

Proposes a neural network based invariant character recognition system using double backpropagation network. The model consists of two parts. The first is a preprocessor which is intended to produce a translation, rotation and scale invariant representation of the input pattern. The second is a neural net classifier. The outputs produced by the preprocessor at the first stage are classified by ...

متن کامل

Learning Neural Network Architectures using Backpropagation

Deep neural networks with millions of parameters are at the heart of many state of the art machine learning models today. However, recent works have shown that models with much smaller number of parameters can also perform just as well. In this work, we introduce the problem of architecture-learning, i.e; learning the architecture of a neural network along with weights. We start with a large ne...

متن کامل

Android Malware Detection Using Backpropagation Neural Network

The rapid growing adoption of android operating system around the world affects the growth of malware that attacks this platform. One possible solution to overcome the threat of malware is building a comprehensive system to detect existing malware. This paper proposes multilayer perceptron artificial neural network trained with backpropagation algorithm to determine an application is malware or...

متن کامل

Backpropagation Neural Network Tutorial

The Architecture of BPNN’s A population P of objects that are similar but not identical allows P to be partitioned into a set of K groups, or classes, whereby the objects within the same class are more similar and the objects between classes are more dissimilar. The objects have N attributes (called properties or features) that can be measured (observed) so that each object can be represented b...

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: 2016

ISSN: 0975-8887

DOI: 10.5120/ijca2016908592