Advances in Malware and Data-Driven Network Security

Advances in Malware and Data-Driven Network Security
Author :
Publisher : IGI Global
Total Pages : 304
Release :
ISBN-10 : 9781799877912
ISBN-13 : 1799877914
Rating : 4/5 (12 Downloads)

Book Synopsis Advances in Malware and Data-Driven Network Security by : Gupta, Brij B.

Download or read book Advances in Malware and Data-Driven Network Security written by Gupta, Brij B. and published by IGI Global. This book was released on 2021-11-12 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day approximately three-hundred thousand to four-hundred thousand new malware are registered, many of them being adware and variants of previously known malware. Anti-virus companies and researchers cannot deal with such a deluge of malware – to analyze and build patches. The only way to scale the efforts is to build algorithms to enable machines to analyze malware and classify and cluster them to such a level of granularity that it will enable humans (or machines) to gain critical insights about them and build solutions that are specific enough to detect and thwart existing malware and generic-enough to thwart future variants. Advances in Malware and Data-Driven Network Security comprehensively covers data-driven malware security with an emphasis on using statistical, machine learning, and AI as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats. Providing information on advances in malware and data-driven network security as well as future research directions, it is ideal for graduate students, academicians, faculty members, scientists, software developers, security analysts, computer engineers, programmers, IT specialists, and researchers who are seeking to learn and carry out research in the area of malware and data-driven network security.


Advances in Malware and Data-Driven Network Security Related Books

Advances in Malware and Data-Driven Network Security
Language: en
Pages: 304
Authors: Gupta, Brij B.
Categories: Computers
Type: BOOK - Published: 2021-11-12 - Publisher: IGI Global

DOWNLOAD EBOOK

Every day approximately three-hundred thousand to four-hundred thousand new malware are registered, many of them being adware and variants of previously known m
Android Malware Detection using Machine Learning
Language: en
Pages: 212
Authors: ElMouatez Billah Karbab
Categories: Computers
Type: BOOK - Published: 2021-07-10 - Publisher: Springer Nature

DOWNLOAD EBOOK

The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize th
Game Theory and Machine Learning for Cyber Security
Language: en
Pages: 546
Authors: Charles A. Kamhoua
Categories: Technology & Engineering
Type: BOOK - Published: 2021-09-08 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in
Big Data Analytics in Fog-Enabled IoT Networks
Language: en
Pages: 235
Authors: Govind P. Gupta
Categories: Computers
Type: BOOK - Published: 2023-04-19 - Publisher: CRC Press

DOWNLOAD EBOOK

The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large
Cybersecurity in Intelligent Networking Systems
Language: en
Pages: 148
Authors: Shengjie Xu
Categories: Computers
Type: BOOK - Published: 2022-11-02 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

CYBERSECURITY IN INTELLIGENT NETWORKING SYSTEMS Help protect your network system with this important reference work on cybersecurity Cybersecurity and privacy a