The Enhanced Intrusion Detection System utilizing a Hybrid Machine Learning Approach is a security system that leverages a combination of machine learning algorithms to detect and prevent unauthorized access to computer networks. The system analyzes network traffic patterns and monitors user behavior to identify potential threats. By using a hybrid machine learning approach, the system is designed to improve its ability to detect and prevent cyber attacks, ultimately enhancing network security.

La connaissance des intrusions dans les réseaux est un facteur important pour l'analyse des risques liés à la sécurité des réseaux. Au cours de la dernière décennie, différentes méthodes et structures ont été mises au point pour la détection des intrusions et la vigilance en matière de sécurité. Un certain nombre de méthodes sont basées sur le processus de découverte des connaissances et certains cadres sont basés sur les réseaux neuronaux. Ces modèles complets prennent des décisions basées sur des règles pour la génération d'alertes de sécurité. Dans cette...

Die Erkennung von Netzwerkeinbrüchen ist ein wichtiger Faktor für die Risikoanalyse der Netzwerksicherheit. In den letzten zehn Jahren wurden verschiedene Methoden und Rahmenwerke für die Erkennung von Eindringlingen und die Sicherheitswarnung entwickelt. Eine Reihe von Methoden basiert auf einem Wissensfindungsprozess und einige Rahmenwerke basieren auf einem neuronalen Netzwerk. Diese vollständigen Modelle treffen regelbasierte Entscheidungen für die Generierung von Sicherheitswarnungen. In dieser Dissertation haben wir eine neuartige Methode zur Erkennung von Eindringlingen mittels...

Network intrusion awareness is important factor for risk analysis of network security. In the recent decade different method and framework are available for intrusion detection and security alertness. A number of method based on knowledge discovery process and some framework based on neural network. These complete model take rule based decision for the generation of security alerts. In this dissertation we proposed a novel method for intrusion awareness using data fusion and SVM classification. The data fusion work on the biases of features gathering of occurrence. Support vector machine is...

A wireless sensor network consists of an enormous number of sensor nodes. Every sensor node senses environmental conditions such as heat, light, force and transmits the sensed data to a base station which is an extensive way rancid in universal. While the sensor nodes are powered by inadequate power batteries, in regulate to lengthen the lifetime of the network, minimal energy consumption is important for sensor nodes. Spread Energy Efficient Clustering scheme for heterogeneous wireless sensor networks, which the Base Station ensure that the high energy nodes becoming a gateways and cluster...

A simple method to synthesize whorl-shaped zinc oxide (ZnO) nanostructures using hydrothermal conditions with ZnSO4, liquid ammonia, and double-distilled water. The technique involves combining drop coating with spin coating successive ionic layer adsorption and reaction (SILAR) to develop ZnO thin films. The samples were characterized using XRD, SEM, FTIR, and UV-Vis spectroscopy. The results show that the average crystal size of the ZnO nanostructure is around 500nm and can be readily synthesized in hydrothermal conditions. The UV-Vis absorption spectra indicate that the energy of ZnO...