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Android Malware Detection using Machine Learning

The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The;

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Android Malware Detection using Machine Learning

The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The;

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Malware Detection Techniques using Machine Learning Classifiers

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Malware Detection in Android Phones

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Classification of Malware

line of defense and detect previously known malware, they, along with other detection mechanisms falling short of detecting present day new and;

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Big Data Analytics with Applications in Insider Threat Detection

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new;

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Machine Learning for Cyber Security

machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.;

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Machine Learning for Cyber Security

machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.;

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Machine Learning for Cyber Security

machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.;

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Machine Learning for Cybersecurity Cookbook

intrusion detection Key Features Manage data of varying complexity to protect your system using the Python ecosystem Apply ML to pentesting, malware;

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Mastering OpenCV Android Application Programming

world Explore face detection, object detection, and image stitching in OpenCV Android programming Build smarter applications by using machine;

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Android Malware and Analysis

The rapid growth and development of Android-based devices has resulted in a wealth of sensitive information on mobile devices that offer;

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Machine Learning and Security

explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine;

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Information and Communications Security

in topics on malware analysis and detection, IoT and CPS security enterprise network security, software security, system security, authentication;

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Hybrid Machine Intelligence for Medical Image Analysis

features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer;

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Phishing Website Detection Using Machine Learning Algorithms

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Machine Learning Deep Learning and Computational Intelligence for Wireless Comm

This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational;

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Rice Plant Diseases Detection Using IoT & Machine Learning

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An intrusion detection system using machine learning algorithm

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Mastering Machine Learning for Penetration Testing

Become a master at penetration testing using machine learning with Python Key Features Identify ambiguities and breach intelligent security;

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Machine Learning and Cognitive Science Applications in Cyber Security

variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and;

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Hands-On Artificial Intelligence for Cybersecurity

malware samples Overcome antivirus limits in threat detection Predict network intrusions and detect anomalies with machine learning Verify the;

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Data Mining Tools for Malware Detection

systems they have designed and developed: email worm detection using data mining, a scalable multi-level feature extraction technique to detect;

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Beginning Anomaly Detection Using Python-Based Deep Learning

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras;

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A Smart Agriculture Land Suitability Detection Model Using Machine Learning with Google Earth Engine

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Practical Java Machine Learning

Weka ML environment; audio file classification for Android using ML with spectrogram voice data; and machine learning using device sensor data;

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Handbook of Big Data Analytics and Forensics

learning techniques to detect the Internet of Things malware. The authors demonstrate how MacOSX cyberattacks can be detected using state-of-the;

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