• No results found

[PDF] Top 20 An iterative multiple sampling method for intrusion detection

Has 10000 "An iterative multiple sampling method for intrusion detection" found on our website. Below are the top 20 most common "An iterative multiple sampling method for intrusion detection".

An iterative multiple sampling method for intrusion detection

An iterative multiple sampling method for intrusion detection

... well-documented intrusion detection techniques - misuse in [17] and anomaly detection ...our method of choice, PCA, with other dimensional reduction techniques would have been ideal, but for ... See full document

12

An Ensemble Method for Intrusion Detection with Conformity to Data Variability

An Ensemble Method for Intrusion Detection with Conformity to Data Variability

... 6: Multiple DT models on the binary variable While it is technically obvious to see why the binary target yields more accurate results than the multi-level target variable, it is imperative to focus on the ... See full document

8

An Assessment Method for Automotive Intrusion Detection System Performance

An Assessment Method for Automotive Intrusion Detection System Performance

... A core element of this project is the development and use of simulated attacks to allow in-vehicle IDS investigation and assessment. CAN bus anomalies (simulated attack scripts) were designed utilizing prior knowledge of ... See full document

58

Efficient Method for Intrusion Detection in Multitenant Data Center

Efficient Method for Intrusion Detection in Multitenant Data Center

... Matti Manninen [8] focuses on finding out how to make an IDS environment learn the preferences and work practices of a security officer, and how to make it more usable by showing the most often viewed anomalies first. ... See full document

5

Integrating Alerts From Multiple Homogeneous Intrusion Detection Systems

Integrating Alerts From Multiple Homogeneous Intrusion Detection Systems

... It is not uncommon for an IDS to generate thousands of alerts per day. For the administrator it is very time consuming (sometimes impossible) to attend to every alert. This is made more difficult because large portions ... See full document

90

Improve Intrusion Detection for Decision Tree with Stratified Sampling

Improve Intrusion Detection for Decision Tree with Stratified Sampling

... fast intrusion detection. This largely simplifies the detection problem because only a smaller set of attributes is required to extract from raw network traffic and to process in detection ... See full document

5

DATA DETECTION WITH FUZZY C-MEANS BASED ON EM APPROACH BY MIMO SYSTEM FOR DIFFERENT CHANNEL’S ESTIMATION IN WIRELESS CELLULAR SYSTEM

DATA DETECTION WITH FUZZY C-MEANS BASED ON EM APPROACH BY MIMO SYSTEM FOR DIFFERENT CHANNEL’S ESTIMATION IN WIRELESS CELLULAR SYSTEM

... paper iterative expectation maximization algorithm with FCM is proposed for parameters estimation and data detection in Multiple Inputs with Multiple outputs system (MIMO ...this method ... See full document

8

Intrusion detection model based on selective packet sampling

Intrusion detection model based on selective packet sampling

... of intrusion, such a solu- tion is obviously very ...packet sampling strategy must be used to ensure that intrusion would still be detected if it ...packet-based sampling and flow- based ... See full document

12

A Repeated Sampling and Clustering Method for Intrusion Detection

A Repeated Sampling and Clustering Method for Intrusion Detection

... practice we have to estimate these parameters from “random” data and test our algorithms on another random dataset. Our contribution focused on three key parameters – data centroids, variability and proportions. For ... See full document

7

An intrusion detection method for internet of things based on suppressed fuzzy clustering

An intrusion detection method for internet of things based on suppressed fuzzy clustering

... detection method for trust value of node a based on the Beta distribution theory and outlier factor was proposed ...This method identifies abnormal nodes based on the Mahalanobis distance and ... See full document

7

Real Time Fault Detection System for Cloud Computing Using Unsupervised Outlier Detection Method

Real Time Fault Detection System for Cloud Computing Using Unsupervised Outlier Detection Method

... Chan et al.[4] proposed an unsupervised modified kmeans algorithm for identifying outliers. According to author, we can easily detect outlier from data set using clustering method but there is one main need is ... See full document

5

System Architecture & Mechanism of Intrusion ...

System Architecture & Mechanism of Intrusion ...

... The MANET has been considered as a major research problem, especially improving the security of the network communication. The primary motivation to complete research in security is the requirement for securing the MANET ... See full document

6

IPV6 NETWORK SECURITY USING SNORT

IPV6 NETWORK SECURITY USING SNORT

... an intrusion detection system in the ...source intrusion detection system. It has both intrusion detection and prevention capabilities in ...IPv4 intrusion ... See full document

11

An Overview of Intrusion Detection System

An Overview of Intrusion Detection System

... Intrusion Detection System are being developed in response to the increasing number of attacks on major sites and ...An Intrusion Detection System detects an attacks as soon as possible and ... See full document

7

Neural Networks for Intrusion Detection and Its Applications

Neural Networks for Intrusion Detection and Its Applications

... misuse detection is the ability of the neural network to "learn" the characteristics of misuse attacks and identify instances that are unlike any which have been observed before by the ... See full document

5

An Energy Saving Routing Mechanism for Intrusion Prevention in Wireless Sensor Networks

An Energy Saving Routing Mechanism for Intrusion Prevention in Wireless Sensor Networks

... environment. Intrusion detection and prevention of these attacks are ...an intrusion detection system which is energy ...proposed method is an energy efficient routing method in ... See full document

6

PERFORMANCE METHOD OF ASSESSMENT OF THE INTRUSION DETECTION AND PREVENTION SYSTEMS

PERFORMANCE METHOD OF ASSESSMENT OF THE INTRUSION DETECTION AND PREVENTION SYSTEMS

... the prints (or signatures) of known attacks. This type of IDS/IPS is merely reactive; it can only detect the attacks of which it possesses the signature. Therefore, it requires frequent updates. Besides, the efficiency ... See full document

13

Advancements in Genetic Algorithm for Intrusion
Detection System

Advancements in Genetic Algorithm for Intrusion Detection System

... Abstract - Now a days it is very important to maintain a high level security to ensure a safe and trusted communication of information between various organizations. But secured data communication over internet or any ... See full document

6

A Hybrid Machine Learning Method for Intrusion Detection

A Hybrid Machine Learning Method for Intrusion Detection

... efficient method for intrusion ...efficient method for data dimension reduction; while among different methods introduced for data classification, we used ELM because of its desired ... See full document

5

Intelligent Intrusion Detection in Computer Networks using Swarm Intelligence

Intelligent Intrusion Detection in Computer Networks using Swarm Intelligence

... Unauthorized access to networks is currently one of the most serious threats to the hosting business. Intruders and viruses present the two biggest security threats to the industry. Firewalls and other simple boundary ... See full document

9

Show all 10000 documents...

Related subjects