[PDF] Top 20 Danger theory metaphor in artificial immune system for system call data
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Danger theory metaphor in artificial immune system for system call data
... of danger theory (Matzinger, 1998, 2001a, 2001b, ...pioneering danger theory (DT) based AIS research is more focusing on the philosophical foundation of the idea, so to establish tangible base ... See full document
66
Iterative Application of the aiNET Algorithm in the Construction of a Radial Basis Function Neural Network
... named Artificial Immune Systems ...the immune system, implementing inspired metaphors, which can be applied to various areas such as pattern recognition, computer security, robotics, ... See full document
8
An Improved Artificial Immune System Based Network Intrusion Detection by Using Rough Set
... animproved artificial immune systembased intrusion detection system by using rough set is pre- ...set theory, a number of tests have been ...set theory proposed is aiming to reduce the ... See full document
7
A Review of Artificial Immune System Based Security Frameworks for MANET
... of data can cause the IDS to miss out on key information; and ii) high noise level on networks due to user accidents, damaged or lost data ...interactive system designed and imple- mented in Java ... See full document
18
A Review on Intrusion Detection System based on Artificial Immune System
... An artificial neural network is composed of simple processing units, or nodes, and connections between ...incomplete data and to be able to classify data as normal or intrusive ...detection ... See full document
5
The dendritic cell algorithm for intrusion detection
... automated data preprocessing, applications of the DCA are not dependent on the expert knowledge of the problem, and they become much less time consuming since manual procedures are ...automated data ... See full document
21
Survey on Credit Card Fraud Detection Methods
... on Artificial Intelligence, Data mining, Neural Network, Bayesian Network, Fuzzy logic, Artificial Immune System, K- nearest neighbor algorithm, Support Vector Machine, Decision Tree, ... See full document
6
Artificial immune system based on real valued negative selection algorithms for anomaly detection
... Negative Selection Algorithm provides a mechanism to protect the self cells of the host, and also destroy unknown antigens (non-self cells). Within the highly- impregnable barrier of thymus, thymocytes (immature T-cells) ... See full document
43
Power distribution outage cause identification with imbalanced data using artificial immune recognition system (AIRS) algorithm
... of data mining techniques, historical outage data have been utilized to extract outage patterns [1], ...However, data imbalance ...world data imperfections has been affecting the performance ... See full document
7
Diagnosis of Breast Cancer by Combining the Techniques of Data Mining and Artificial Immune System
... reliable system for timely diagnosis of benign and malignant breast tumors is very ...Therefore, data analysis methodologies will be a useful assistant for doctors to diagnose ...performing data ... See full document
8
A framework of artificial immune system in writer identification
... scanned document. Pre-processing process has been shown to improve the image quality but as part of this process some of the original information may be lost [36],[37]. According to Wahab [38], the classical approach ... See full document
8
Artificial Immune System based uncloneable Device Signature for Node Authentication IOT
... International Data Cooperation (IDC) published a report in 2013 stated that the number of connected devices or IOT devices are expected to reach 41 billion by 2020 with a predicted market share of ... See full document
6
A spam filtering model based on immune mechanism
... characteristics, artificial immune system exists diversity, immune memory, adaptive and self learning ability, adopt the idea of to mail filtering, and design an improved spam filtering model ... See full document
8
Exploration of Anomaly Based Intrusion Detection System: A Security Framework
... and data from ...detection system are genetic algorithm, apache storm, neural network, artificial immune system, genetic clustering method and Linear Discriminant Analysis & ... See full document
6
Artificial Immune System for Bloom filter Optimization
... [7] Cuena-Acuna F.M, Peery C,Martin R.P, and Nguyen T.D, PlantP: “Using Gossiping to Build Content Addressable Peer-to-Peer Information Sharing Communities”, Proc. 12th IEEE Int’lSymp. High Performance Distributed ... See full document
7
Methodology for Artificial Immune Systems and Immune Pathology
... evaluation data to the decision support ...this system is AIS, which is inspired by theoretical immunology, as well as observed immune functions, principles and mechanisms in order to solve problems ... See full document
33
A prototype for network intrusion detection system using danger theory
... Human Immune System ...similar system be built for our computers? ...create artificial systems that have the ability to differentiate between self and non-self pattern: where self could be ... See full document
8
Mimicry Detection Method Based on Immune Danger Theory
... biological immune mechanism has been widely concerned ...on artificial immunity is mainly based on autogenous/non-autogenous models [6], Generally, low detection rate and high false alarm rate make it ... See full document
10
An Intrusion Detection Model Based On Danger Theory for Wireless Sensor Networks
... biological immune system, if a cell dies due to a normal reason, the cell entity will be removed before the ...the danger and send the danger ...the danger and make reaction before ... See full document
13
A MODEL FOR MEASURING ARTICLES KNOWLEDGEABILITY LEVELS
... algorithms. Artificial immune systems have been widely used in the field of MANET ...Several immune algorithms were used and implemented as intrusion detection systems ...major immune ... See full document
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