[PDF] Top 20 Cloud Forensic Frameworks based on Machine Learning Techniques

Cloud Forensic Frameworks based on Machine Learning Techniques

... Cloud Forensic Frameworks based on Machine Learning Techniques IV. PROPOSED METHOLOGY In T this T section T we T present T our T proposed T method T for T classifying T ... See full document

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Digital Forensic Tools & Cloud-Based Machine Learning for Analyzing Crime Data

... statistics, machine learning, neural networks, data mining, social network analysis, pattern recognition, signal processing, optimization methods and visualization approaches (Chen & Zhang, ...of ... See full document

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A Cloud based Honeynet System for Attack Detection using Machine Learning Techniques

... And thus, it is important to secure our network, for discovering unwanted activities, and build a trap system like the honeypots. A honeypot is a well monitored network deception tool designed to serve several purposes: ... See full document

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Efficient resource provisioning for elastic Cloud services based on machine learning techniques

... provisioning techniques enable the implementation of elastic services, by adapting the available resources to the service ...in cloud platforms and virtualized data-centers by means of auto-scaling ... See full document

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A machine learning-based investigation of cloud service attacks

... ensemble learning, and cost-sensitive ...imbalance learning and feature selection in imbalance domain in [70], [191], it is nonetheless recognised that some attempts[192]–[194] have been concerned with the ... See full document

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An Adaptive Intrusion Detection Model based on Machine Learning Techniques

... the forensic aspect of computer network attacks have long been researched ...prevention techniques such as encryption, Virtual Private Network (VPN) and firewall alone seem to be ... See full document

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َََََReview of Terrestrial and Satellite Networks based on Machine Learning Techniques

... Regarding the future services which will be complex, remote sensing, communication networks and so on must support to resolve the issue related to the inadequate functioning technique in the remote information ... See full document

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INTELLIGENT AND EFFECTIVE CROP YIELD PREDICTION USING MACHINE LEARNING TECHNIQUES FOR CLOUD-BASED BIG DATA ANALYTICS

... ANN was a pioneer over 40 years ago, and today there is incredible enthusiasm for the neural system because a false system shares some of the physical and conductive parts of a natural. The ANN structure, which is an ... See full document

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A Review on Machine Learning Based Resource Allocation in Cloud Computing

... Artificial Neural Networks (ANN) comprises of frameworks that are purposely worked to make utilization of some authoritative esteems looking like those of the human mind. They speak to the promising new making of ... See full document

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Acute Leukemia Classification based on Image Processing and Machine Learning Techniques

... Mathematical Model of Computer Aided Detection for Acute Leukemia. Her research interest is in Image Processing and Computer Vision, Pattern Recognition. Mohammed A. M. Ibrahim born in Taiz city, Yemen, received his BSc ... See full document

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Machine learning and big data techniques for satellite-based rice phenology

... CHAPTER 2. RICE GROWTH PHASES DETECTION 46 series were preprocessed and finally classified using the trained models. The rice growth phase detection approach was applied at different times, aimed at characterising the ... See full document

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Learning based forensic techniques for source camera identification

... method based on linear search, this method is more computationally ...method based on the linear search, especially when a large number of reference SPNs are stored in a single binary ... See full document

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Anomaly detection based on machine learning techniques

... honeynet-based techniques and IDS- based techniques. The techniques in direction usually build honeynets to collect botnet information, and then analyse the characteristics and ... See full document

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Big Data Analysis Based on Machine Learning Techniques

... International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8, Issue-12, October 2019 Abstract: Most of the online applications such as Amazon, Snap deal, Flip cart and many ... See full document

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Identification of Network Applications based on Machine Learning Techniques

... Figure 4.1: Overall accuracy by sampling rate p by the complete set and the subset of features in the SMARTxAC scenario by application group at diﬀerent sampling rates and also compares [r] ... See full document

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Bovines Muzzle Classification Based on Machine Learning Techniques

... 3.1 Artificial Neural Network (ANN) Classification model 3.1.1 Pre-processing phase Pre-processing phase is the first critical phase in the first classification model. This paper presents histogram equalization (HEQ) to ... See full document

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Machine Learning Based Workload Prediction in Cloud Computing

... (c) LSTM Fig. 11. CDF of memory accuracy with different window sizes for m-gap prediction. The K-means [43] and Gaussian Mixture Clustering [44] are the two main methods for PBC. K-means is a distance- based ... See full document

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Machine Learning Techniques: A Review

... Reinforcement Learning It is based on the concept that if an action is followed by a satisfactory state of affairs, or by an improved state of affairs, then the inclination to produce that action becomes ... See full document

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A Study on Machine Learning Techniques

... Abstract: Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly ...programmed. Machine learning focuses on the ... See full document

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A review on Machine Learning Techniques

... unsupervised techniques consist of self-organizing maps, k nearest neighbors, okay approach and singular value disintegration are also used to section textual content topics, suggest gadgets and discover ... See full document

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