Cyber Threat Intelligence (Registro nro. 243297)

MARC details
000 -LIDER
fixed length control field 06245nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-319-73951-9
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210201191423.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180427s2018 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319739519
-- 978-3-319-73951-9
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.A25
072 #7 - SUBJECT CATEGORY CODE
Subject category code UR
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM053000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UR
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.8
Edition number 23
245 10 - TITLE STATEMENT
Title Cyber Threat Intelligence
Medium [electronic resource] /
Statement of responsibility, etc. edited by Ali Dehghantanha, Mauro Conti, Tooska Dargahi.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
300 ## - PHYSICAL DESCRIPTION
Extent VI, 334 p. 105 illus., 77 illus. in color.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Advances in Information Security,
International Standard Serial Number 1568-2633 ;
Volume/sequential designation 70
500 ## - GENERAL NOTE
General note Acceso multiusuario
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1 Introduction -- 2 Machine Learning Aided Static Malware Analysis -- 3 Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Datasets and Feature Selection -- 4 Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Classification Algorithms -- 5 Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection -- 6 Leveraging Support Vector Machine for Opcode Density Based Detection of Crypto-Ransomware -- 7 BoTShark - A Deep Learning Approach for Botnet Traffic Detection -- 8 A Practical Analysis of The Rise in Mobile Phishing -- 9 PDF-Malware Detection: A Survey and Taxonomy of Current Techniques -- 10 Adaptive Traffic Fingerprinting for Darknet Threat Intelligence -- 11 A Model for Android and iOS Applications Risk Calculations: CVSS Analysis and Enhancement Using Case-Control Studies -- 12 A Honeypot Proxy Framework for Deceiving Attackers with Fabricated Content -- 13 Investigating the Possibility of Data Leakage in Time of Live VM Migration -- 14 Forensics Investigation of OpenFlow-Based SDN Platforms -- 15 Mobile Forensics: A Bibliometric Analysis -- 16 Emerging from The Cloud: A Bibliometric Analysis of Cloud Forensics Studies.
520 ## - SUMMARY, ETC.
Summary, etc. This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions - this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Owner UABC ;
Method of acquisition Temporal ;
Date of acquisition 01/01/2021-12/31/2023.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Data protection.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computer communication systems.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Security.
-- https://scigraph.springernature.com/ontologies/product-market-codes/I28000
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Artificial Intelligence.
-- https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Information Systems and Communication Service.
-- https://scigraph.springernature.com/ontologies/product-market-codes/I18008
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Computer Communication Networks.
-- https://scigraph.springernature.com/ontologies/product-market-codes/I13022
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dehghantanha, Ali.
Relator term editor.
-- (orcid)0000-0002-9294-7554
-- https://orcid.org/0000-0002-9294-7554
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Conti, Mauro.
Relator term editor.
-- (orcid)0000-0002-3612-1934
-- https://orcid.org/0000-0002-3612-1934
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dargahi, Tooska.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783319739502
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783319739526
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030088910
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Advances in Information Security,
-- 1568-2633 ;
Volume number/sequential designation 70
856 40 - ELECTRONIC LOCATION AND ACCESS
Public note Libro electrónico
Uniform Resource Identifier http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-73951-9
912 ## -
-- ZDB-2-SCS
912 ## -
-- ZDB-2-SXCS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Libro Electrónico
Existencias
Estado de retiro Colección Ubicación permanente Ubicación actual Fecha de ingreso Total Checkouts Date last seen Número de copia Tipo de material
  Colección de Libros Electrónicos Biblioteca Electrónica Biblioteca Electrónica 01/02/2021   01/02/2021 1 Libro Electrónico

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