Cuckoo Malware Analysis

This book PDF is perfect for those who love Computers genre, written by Digit Oktavianto and published by Packt Publishing Ltd which was released on 16 October 2013 with total hardcover pages 142. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Cuckoo Malware Analysis books below.

Cuckoo Malware Analysis
Author : Digit Oktavianto
File Size : 46,6 Mb
Publisher : Packt Publishing Ltd
Language : English
Release Date : 16 October 2013
ISBN : 9781782169246
Pages : 142 pages
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Cuckoo Malware Analysis by Digit Oktavianto Book PDF Summary

This book is a step-by-step, practical tutorial for analyzing and detecting malware and performing digital investigations. This book features clear and concise guidance in an easily accessible format.Cuckoo Malware Analysis is great for anyone who wants to analyze malware through programming, networking, disassembling, forensics, and virtualization. Whether you are new to malware analysis or have some experience, this book will help you get started with Cuckoo Sandbox so you can start analysing malware effectively and efficiently.

Cuckoo Malware Analysis

This book is a step-by-step, practical tutorial for analyzing and detecting malware and performing digital investigations. This book features clear and concise guidance in an easily accessible format.Cuckoo Malware Analysis is great for anyone who wants to analyze malware through programming, networking, disassembling, forensics, and virtualization. Whether you are

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Dr.B.Balakumar, Assistant Professor, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Abhishekapatti, Tirunelveli, Tamil Nadu, India. Dr.J.Syed Nizamudeen Ahmed, Assistant Professor Temp, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Abhishekapatti, Tirunelveli, Tamil Nadu, India. Mrs.V.S.Jeyalakshmi, Researcher, Centre for Information Technology

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Many static and behavior-based malware detection methods have been developed to address malware and other cyber threats. Even though these cybersecurity systems offer good outcomes in a large dataset, they lack reliability and robustness in terms of detection. There is a critical need for relevant research on enhancing AI-based cybersecurity

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