Description: Machine Learning for Authorship Attribution and Cyber Forensics by Farkhund Iqbal, Mourad Debbabi, Benjamin C.M. Fung Estimated delivery 3-12 business days Format Paperback Condition Brand New Description The book first explores the cybersecuritys landscape and the inherent susceptibility of online communication system such as e-mail, chat conversation and social media in cybercrimes. Common sources and resources of digital crimes, their causes and effects together with the emerging threats for society are illustrated in this book. This book not only explores the growing needs of cybersecurity and digital forensics but also investigates relevant technologies and methods to meet the said needs. Knowledge discovery, machine learning and data analytics are explored for collecting cyber-intelligence and forensics evidence on cybercrimes.Online communication documents, which are the main source of cybercrimes are investigated from two perspectives: the crime and the criminal. AI and machine learning methods are applied to detect illegal and criminal activities such as bot distribution, drug trafficking and child pornography. Authorship analysis is applied to identify the potentialsuspects and their social linguistics characteristics. Deep learning together with frequent pattern mining and link mining techniques are applied to trace the potential collaborators of the identified criminals.Finally, the aim of the book is not only to investigate the crimes and identify the potential suspects but, as well, to collect solid and precise forensics evidence to prosecute the suspects in the court of law. Details ISBN 3030616770 ISBN-13 9783030616779 Title Machine Learning for Authorship Attribution and Cyber Forensics Author Farkhund Iqbal, Mourad Debbabi, Benjamin C.M. Fung Format Paperback Year 2021 Pages 158 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:158852602; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 197.15 USD
Location: Fairfield, Ohio
End Time: 2024-08-29T02:46:00.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783030616779
Book Title: Machine Learning for Authorship Attribution and Cyber Forensics
Number of Pages: IX, 158 Pages
Language: English
Publication Name: Machine Learning for Authorship Attribution and Cyber Forensics
Publisher: Springer International Publishing A&G
Publication Year: 2021
Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, Databases / Data Mining
Item Weight: 9.4 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Author: Farkhund Iqbal, Benjamin C. M. Fung, Mourad Debbabi
Item Length: 9.3 in
Series: International Series on Computer, Entertainment and Media Technology Ser.
Item Width: 6.1 in
Format: Trade Paperback