bayesian
RSS bayesianCS424 Network Security: Bayesian Network Intrusion Detection (BNIDS)
White Paper It suggests a Bayesian system which would provide a solid mathematical foundation for simplifying a seemingly difficult and monstrous problem that today's NIDS fail to solve. Many Network Intrusion Detection Systems (NIDS) exist, but they can be... [10 Jul 2008]
Classification, Clustering and Application in Intrusion Detection System
White Paper This report discusses approaches based on classification techniques like naive bayesian classifiers, neural networks and WINNOW based algorithm. Classification and clustering techniques in data mining are useful for a wide variety of real time... [10 Jul 2008]
A Bayesian Game Approach for Intrusion Detection in Wireless Ad Hoc Networks
White Paper This paper proposes a game theoretic framework to analyze the interactions between pairs of attacking/defending nodes using a Bayesian formulation. The dynamic Bayesian game is a more realistic model, since it allows the defender to consistently... [09 Jul 2008]
A Bayesian Approach to Bandwidth Selection for Multivariate Kernel Regression With an Application to State-Price Density Estimation
White Paper This paper presents a Bayesian approach to bandwidth selection for multivariate kernel regression. Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. [08 Jul 2008]
Bayesian Event Classification for Intrusion Detection
White Paper Intrusion Detection Systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of legal behavior (anomaly-based IDSs). [06 Jul 2008]
Analysis of Distributed Intrusion Detection Systems Using Bayesian Methods
White Paper The approach to this involves the application of Bayesian methods to data being gathered from distributed IDS. In computer and network security, standard approaches to intrusion detection and response attempt to detect and prevent individual attacks. [01 Jul 2008]
Feature Deduction and Ensemble Design of Intrusion Detection Systems
White Paper This paper investigated the performance of two feature selection algorithms involving Bayesian Networks (BN) and Classification and Regression Trees CART) and an ensemble of BN and CART. Current Intrusion Detection Systems (IDS) examine all data... [01 Jul 2008]
SMTP Analysis, Heuristic Analysis and Multi-Tier Anti-Spam in an Email Security Gateway
White Paper As spam attacks become more frequent and increasingly more sophisticated and varied, a new spam identification and filtering technique that is highly adaptable to the specific nature of the organizations can be found based on the Bayesian... [31 May 2008]
Noncommercial Email Lists: Collateral Damage in the Fight Against Spam
White Paper The large number of anti-spam tools is a tremendous problem for email list owners, who must navigate everything from "block lists" to Bayesian filters" to communicate with willing recipients. The fact that unwanted email often masquerades as wanted... [18 Apr 2008]
Compress-and-Forward Cooperative Relaying in MIMO-OFDM Systems
White Paper This paper extends this Wyner-Ziv bound to MIMO-OFDM, by applying results from Bayesian vector estimation and rate-distortion coding theory. This paper investigates the capacity of Compress-and-Forward (C&F) cooperative relaying scheme when the C&F... [11 Apr 2008]
Bayesian Network Management
White Paper We formulate some general network (and risk) management problems in a Bayesian context, and point out some of the essential features. We argue and demonstrate that, when one is interested in rare events, the Bayesian and frequenters approaches can... [10 Apr 2008]
Winning the Battle Against Image-based Spam
White Paper Why traditional spam detection technologies such as Bayesian-based and signature-based products are failing to detect image-based spam. Mounting an effective defense against image-based spam requires detection techniques that can evolve as quickly... [07 Apr 2008]
Nayve-Bayes Vs. Rule-Learning in Classification of Email
White Paper Two learning methods, naive bayesian learning with bag-valued features and the RIPPER rule-learning algorithm have shown promise in other text categorization tasks. Growth in the use of email for communication and the corresponding growth in the... [20 Feb 2008]
Backup Process Used With Clustered Exchange Server 2003 Servers at Microsoft
White Paper Two learning methods, naive bayesian learning with bag-valued features and the RIPPER rule-learning algorithm have shown promise in other text categorization tasks. Growth in the use of email for communication and the corresponding growth in the... [19 Feb 2008]
Model-Based Loss Inference by TCP Over Heterogeneous Networks
White Paper This paper investigates a Bayesian approach to infer at the source host the reason of a packet loss, whether congestion or wireless transmission error. The Transmission Control Protocol (TCP) has been the protocol of choice for many Internet... [14 Jan 2008]
