Malware Detection

This book PDF is perfect for those who love Computers genre, written by Mihai Christodorescu and published by Springer Science & Business Media which was released on 06 March 2007 with total hardcover pages 307. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Malware Detection books below.

Malware Detection
Malware Detection
Author : Mihai Christodorescu
File Size : 45,5 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 06 March 2007
ISBN : 9780387445991
Pages : 307 pages
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Malware Detection by Mihai Christodorescu Book PDF Summary

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 models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.

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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Discover how the internals of malware work and how you can analyze and detect it. You will learn not only how to analyze and reverse malware, but also how to classify and categorize it, giving you insight into the intent of the malware. Malware Analysis and Detection Engineering is a

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

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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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Intelligent Mobile Malware Detection

Intelligent Mobile Malware Detection by Tony Thomas,Roopak Surendran,Teenu S. John,Mamoun Alazab

The popularity of Android mobile phones has caused more cybercriminals to create malware applications that carry out various malicious activities. The attacks, which escalated after the COVID-19 pandemic, proved there is great importance in protecting Android mobile devices from malware attacks. Intelligent Mobile Malware Detection will teach users how to

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Android Malware Detection using Machine Learning by ElMouatez Billah Karbab,Mourad Debbabi,Abdelouahid Derhab,Djedjiga Mouheb

The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures. First, the authors propose an approximate

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The smartphone has rapidly become an extremely prevalent computing platform, with just over 115 million devices sold in the third quarter of 2011, a 15% increase over the 100 million devices sold in the first quarter of 2011, and a 111% increase over the 54 million devices sold in the first quarter of 2010. Android in particular has

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This book constitutes the refereed post-proceedings of the 9th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2012, held in Heraklion, Crete, Greece, in July 2012. The 10 revised full papers presented together with 4 short papers were carefully reviewed and selected from 44 submissions. The papers are organized in topical

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