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RT-UNNID: A Practical Solution to Real-Time Network-Based Intrusion Detection Using Unsupervised Neural Networks
White Papers Regards to the growing rate of network attacks, using intelligent methods especially neural networks in constructing efficient and reliable Intrusion Detection Systems (IDSs) to detect new unknown attacks has been the interest of some researchers...
[June 24, 2009, 16:02]
The Concept of Classification in Data Mining Using Neural Networks
White Papers The concept of classification in Data Mining using neural networks involves taking day to day invoicing data of the customers as the base. The paper uses a 3 layer feed forward Artificial Neural Network (ANN) using back propagation algorithm as a...
[October 7, 2008, 1:01]
True Parallel Processing in Artificial Neural Networks
White Papers The area of artificial neural networks, which dates back to the early twentieth century, could only offer positive contributions to technology after the back-propagation algorithm was proposed in 1986.
[March 4, 2008, 0:02]
High Performance Convolutional Neural Networks for Document Processing
White Papers Convolutional Neural Networks (CNNs) are well known for producing state-of-the-art recognizers for document processing. However, they can be difficult to implement and are usually slower than traditional Multi-Layer Perceptrons (MLPs).
[May 8, 2007, 1:00]
Feature Selection for Intrusion Detection Using Neural Networks and Support Vector Machines
White Papers Two classes of learning machines for IDSs are studied: Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs). Computational Intelligence (CI) methods are increasingly being used for problem solving.
[October 14, 2008, 1:01]
Intrusion Detection by Backpropagation Neural Networks With Sample-Query and Attribute-Query
White Papers This paper proposes a new learning methodology towards developing a novel Intrusion Detection System (IDS) by BackPropagation Neural networks (BPN) with sample-query and attribute-query. The growing network intrusions have put companies and...
[June 19, 2008, 1:01]
Real-Time Network Intrusion Detection System Based on Neural Networks
White Papers This paper describes a Neural Network (NN) based NIDS architecture. Traditional Network Intrusion Detection Systems (NIDSs) use rules to detect intrusions, with these rules being updated manually by knowledgeable engineers.
[June 24, 2009, 16:02]
Network-Based Intrusion Detection Using Neural Networks
White Papers With the growth of computer networking, electronic commerce, and web services, security of networking systems has become very important. Many companies now rely on web services as a major source of revenue.
[June 19, 2008, 1:01]
Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach
White Papers This paper investigates the suitability of Linear Genetic Programming (LGP) technique to model efficient intrusion detection systems, while comparing its performance with artificial neural networks and support vector machines.
[June 18, 2008, 1:01]
A Study on Classification Techniques for Network Intrusion Detection
White Papers This paper compares the ability of three classification techniques (k-means classifiers, neural networks and support vector machines) to perform for network intrusion detection applications. The results indicate that Support Vector Machines train...
[June 18, 2008, 1:01]
Artificial Intelligence: DNA sequencers to dancing robots
News Neural networks have been one of the great success stories of AI research and in software or hardware form are now found in a wide variety of applications where the system's ability to learn is important.
[March 28, 2006, 11:40]
IBM To Create The Great Brain Thinking Machine.
Blog The technology exists now to create structures that match the density of neural and synaptic networks as they are in real brains. Not to forget that we have already been playing with neural networks for some time, thus creating an AI that has the...
[November 22, 2008, 17:13]
Rupert Goodwins' Diary
Blog Some intriguing work is going on with evolutionary computing coupled to neural networks, following the same model as the human brain seems to follow when it first gets going in a body. This month, an experiment to monitor his neural impulses...
[August 29, 2003, 19:05]
Tinnitus Tamer
Downloads Before the electrical signals from the ears are passed to that portion of the brain that hears the sounds, they pass through neural networks that act as filters. Experience continuously alters these neural networks, changing which signals are...
[September 20, 2009, 6:36]
Organic robot mixes rat brain with silicon
News We hope to learn how living neural networks may be applied to the artificial computing systems of tomorrow. The neural activity recorded by the electrodes is transmitted to the robot, which serves as a body for the cultured networks.
[June 13, 2003, 16:19]
National chief executive predicts date of tech upturn
News Using complex mathematical models, neural networks, historical patterns and an eye toward current events, Halla -- with a dose of Vegas showmanship -- predicted in a keynote speech at Comdex Fall 2002 on Tuesday that the tech industry will be at...
[November 20, 2002, 7:41]
Application of SVM and ANN for Intrusion Detection
White Papers Two data mining methodologies - Artificial Neural Networks (ANNs) and Support Vector Machine (SVM) and two encoding methods - simple frequency-based scheme and tf×idf scheme are used to detect potential system intrusions in this study.
[June 24, 2009, 16:02]
Personal Iris Recognition Using Neural Network
Downloads Artificial Neural Networks (ANNs) are programs designed to simulate the way a simple biological nervous system is believed to operate. They are based on simulated nerve cells or neurons, which are joined together in a variety of ways to form networks.
[January 1, 1970, 0:59]
NeuroDiet
Downloads You don't need to know anything about neural networks. NeuroDiet is a neural network application that learns how the foods you eat are related to your health and fitness. All the neural network functions are managed automatically.
[January 23, 2004, 6:00]
INTCTD: A Peer-to-Peer Approach for Intrusion Detection
White Papers INTCTD is a distributed system based on neural networks for detecting network traffic anomalies and for modifying dynamically the network resource access policies. This paper proposes a Peer-to-Peer (P2P) prototype (INTCTD) for intrusion detection...
[November 28, 2008, 23:00]
