immune network
Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model
... the immune system defends the body against ...the immune system reacts against itself. Jerne suggested that the immune cells are natu- rally capable of recognizing each other, and the immune ...
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Anomaly intrusion detection system using immune network with reduced network traffic features
... A multi-level hybrid classification model combining DT and Bayesian Network (BN) clustering has been proposed by Xiang, (2008). Their results on KDD CUP’99 dataset, a benchmark dataset used to evaluate IDS, were ...
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Comparative study between fuzzy C-Means algorithm and artificial immune network algorithm in intrusion detection system
... Supervised techniques do suffer low detection accuracy and high false alarm especially when dealing with novel attacks. Besides, labeling network traffic instances is expensive and time consuming. Furthermore, a ...
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Iterative Application of the aiNET Algorithm in the Construction of a Radial Basis Function Neural Network
... Artificial Immune NETwork (aiNet) and the CLONal ALGorithm selection (CLONALG), which are applied together in tasks such as learning machine, pattern recognition, compression and clustering [Silva, ...
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An Improved Artificial Immune System Based Network Intrusion Detection by Using Rough Set
... the immune system ...artificial immune based computer models to solve various prob- lems ranging from virus detection, fault analyzing to ...of immune network and examining how the ...
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Proinflammatory IL-17 pathways dominate the architecture of the immunome in pediatric refractory epilepsy
... the immune system, vastly improving our understanding of the intricacies of the immune response at a systems ...the immune system that can lead to pathogenesis and can provide insights into the ...
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Pattern Recognition Approaches inspired by Artificial Immune System
... an immune network theory to help explain some of the observed emergent properties of the immune system, such as learning and ...artificial immune network (AIN) models found in the ...
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Artificial immune system based on real valued negative selection algorithms for anomaly detection
... Human Immune System (HIS) which is robust, decentralized, error tolerant, and adaptive in ...Artificial Immune System appears to be precisely tuned to the problem of detecting and eliminating infections ...
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Using an agent-based model to analyze the dynamic communication network of the immune response
... The immune system is a dynamic network of interacting cells that communicate directly and indirectly to exchange information during an immune ...the immune network, likening the ...
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Online Full Text
... Artificial Immune Network (AIN) for extracting sentiment from Malay newspaper ...Artificial Immune Network Algorithm to ...using immune network from Artificial Immune ...
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Reconfiguration of the immune system network during food limitation in the caterpillar Manduca sexta
... an immune recognition molecule (Jiang, 2008), was the only immune gene tested that showed both constitutive and inducible upregulation in nutrient absent caterpillars ...early immune responses than ...
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The FL-SMIA Network: A Novel Architecture for Time Series Prediction
... neural network using the Immune Algorithm (FL- SMIA) is proposed as a novel method for financial time series ...SMIA network architecture and learning method is detailed in Section ...
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Prolonging the Network Life Time in WSN through Computational Intelligence
... Flat Network ii) Cluster-Based Data Aggregation iii) Tree Based Data Aggregation iv) Grid Based Data ...neural network which is inspired from human brain system, neural network’s ability to learn and ...
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Exploration of Anomaly Based Intrusion Detection System: A Security Framework
... Al-Janabi and Saeed [7] has used the back propagation neural network method for anomaly based intrusion detection system that can promptly detect and classify various attacks. Authors have used KDD’99 dataset for ...
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A New Approach on Intrusion Detection Based On Avidity Model Clonal Selection
... Fortunately, the algorithm inspired by clonal selection (CS) is more scalable than the NS algorithm. Based on the CS and affinity maturation theories, CLONALG algorithm is proposed [12], and the immune CS ...
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A novel approach to data mining using simplified swarm optimization
... In many applications, people are dealing with massive data that contains multi- dimensional attributes such as network intrusion data, stock market data, medical data, weather forecast data and much more. Thus, ...
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... Recurrent aphthous stomatitis (RAS) is the most common disease of the oral mucosa, characterized by multiple recurrent painful ulcers in the oral cavity. Usually it occurs in young healthy individuals, with a high ...
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INTRUSION DETECTION USING BIOLOGICAL INSPIRED IMMUNE SYSTEM
... ongoing network traffic is a part of network intrusion detection ...artificial immune system [8] and soft ...artificial immune system is used for intrusion detection in ...artificial ...
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Prospects for combining immune checkpoint blockade with PARP inhibition
... adoptive immune cell transfer experiment confirmed the synergistic effect of combination therapy was highly dependent on T cell- mediated immune response ...protective immune memory contributed to a ...
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Network, degeneracy and bow tie. Integrating paradigms and architectures to grasp the complexity of the immune system
... that network use is very ...that network analysis is predominantly ...and network states can be collected and analyzed in a longitudinal fashion, but this is not yet a dynamical ...in network ...
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