Data Mining Tools for Malware Detection

This book PDF is perfect for those who love Computers genre, written by Mehedy Masud and published by CRC Press which was released on 19 April 2016 with total hardcover pages 453. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Data Mining Tools for Malware Detection books below.

Data Mining Tools for Malware Detection
Data Mining Tools for Malware Detection
Author : Mehedy Masud
File Size : 54,6 Mb
Publisher : CRC Press
Language : English
Release Date : 19 April 2016
ISBN : 9781466516489
Pages : 453 pages
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Data Mining Tools for Malware Detection by Mehedy Masud Book PDF Summary

Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware d

Data Mining Tools for Malware Detection

Data Mining Tools for Malware Detection by Mehedy Masud,Latifur Khan,Bhavani Thuraisingham

Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop

Get Book
Data Mining Tools for Malware Detection

Data Mining Tools for Malware Detection by Mehedy Masud,Latifur Khan,Bhavani Thuraisingham

Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop

Get Book
Big Data Analytics with Applications in Insider Threat Detection

Big Data Analytics with Applications in Insider Threat Detection by Bhavani Thuraisingham,Pallabi Parveen,Mohammad Mehedy Masud,Latifur Khan

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This

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Malware Detection

Malware Detection by Mihai Christodorescu,Somesh Jha,Douglas Maughan,Dawn Song,Cliff Wang

This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective

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Big Data Analytics with Applications in Insider Threat Detection

Big Data Analytics with Applications in Insider Threat Detection by Bhavani Thuraisingham,Pallabi Parveen,Mohammad Mehedy Masud,Latifur Khan

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This

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Rising Threats in Expert Applications and Solutions

Rising Threats in Expert Applications and Solutions by Vijay Singh Rathore,Nilanjan Dey,Vincenzo Piuri,Rosalina Babo,Zdzislaw Polkowski,João Manuel R. S. Tavares

This book presents high-quality, peer-reviewed papers from the FICR International Conference on Rising Threats in Expert Applications and Solutions 2020, held at IIS University Jaipur, Rajasthan, India, on January 17–19, 2020. Featuring innovative ideas from researchers, academics, industry professionals and students, the book covers a variety of topics, including expert applications and artificial

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Malware Detection

Malware Detection by Priyanka Nandal

In the present work the behavior of malicious software is studied, the security challenges are understood, and an attempt is made to detect the malware behavior automatically using dynamic approach. Various classification techniques are studied. Malwares are then grouped according to these techniques and malware with unknown characteristics are clustered

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Malware Analysis Using Artificial Intelligence and Deep Learning

Malware Analysis Using Artificial Intelligence and Deep Learning by Mark Stamp,Mamoun Alazab,Andrii Shalaginov

​This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of

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