|
Showing 1 - 6 of
6 matches in All Departments
This comprehensive and timely book, New Age Analytics: Transforming
the Internet through Machine Learning, IoT, and Trust Modeling,
explores the importance of tools and techniques used in machine
learning, big data mining, and more. The book explains how
advancements in the world of the web have been achieved and how the
experiences of users can be analyzed. It looks at data gathering by
the various electronic means and explores techniques for analysis
and management, how to manage voluminous data, user responses, and
more. This volume provides an abundance of valuable information for
professionals and researchers working in the field of business
analytics, big data, social network data, computer science,
analytical engineering, and forensic analysis. Moreover, the book
provides insights and support from both practitioners and academia
in order to highlight the most debated aspects in the field.
This comprehensive and timely book, New Age Analytics: Transforming
the Internet through Machine Learning, IoT, and Trust Modeling,
explores the importance of tools and techniques used in machine
learning, big data mining, and more. The book explains how
advancements in the world of the web have been achieved and how the
experiences of users can be analyzed. It looks at data gathering by
the various electronic means and explores techniques for analysis
and management, how to manage voluminous data, user responses, and
more. This volume provides an abundance of valuable information for
professionals and researchers working in the field of business
analytics, big data, social network data, computer science,
analytical engineering, and forensic analysis. Moreover, the book
provides insights and support from both practitioners and academia
in order to highlight the most debated aspects in the field.
This book presents a comprehensive study of different tools and
techniques available to perform network forensics. Also, various
aspects of network forensics are reviewed as well as related
technologies and their limitations. This helps security
practitioners and researchers in better understanding of the
problem, current solution space, and future research scope to
detect and investigate various network intrusions against such
attacks efficiently. Forensic computing is rapidly gaining
importance since the amount of crime involving digital systems is
steadily increasing. Furthermore, the area is still underdeveloped
and poses many technical and legal challenges. The rapid
development of the Internet over the past decade appeared to have
facilitated an increase in the incidents of online attacks. There
are many reasons which are motivating the attackers to be fearless
in carrying out the attacks. For example, the speed with which an
attack can be carried out, the anonymity provided by the medium,
nature of medium where digital information is stolen without
actually removing it, increased availability of potential victims
and the global impact of the attacks are some of the aspects.
Forensic analysis is performed at two different levels: Computer
Forensics and Network Forensics. Computer forensics deals with the
collection and analysis of data from computer systems, networks,
communication streams and storage media in a manner admissible in a
court of law. Network forensics deals with the capture, recording
or analysis of network events in order to discover evidential
information about the source of security attacks in a court of law.
Network forensics is not another term for network security. It is
an extended phase of network security as the data for forensic
analysis are collected from security products like firewalls and
intrusion detection systems. The results of this data analysis are
utilized for investigating the attacks. Network forensics generally
refers to the collection and analysis of network data such as
network traffic, firewall logs, IDS logs, etc. Technically, it is a
member of the already-existing and expanding the field of digital
forensics. Analogously, network forensics is defined as "The use of
scientifically proved techniques to collect, fuses, identifies,
examine, correlate, analyze, and document digital evidence from
multiple, actively processing and transmitting digital sources for
the purpose of uncovering facts related to the planned intent, or
measured success of unauthorized activities meant to disrupt,
corrupt, and or compromise system components as well as providing
information to assist in response to or recovery from these
activities." Network forensics plays a significant role in the
security of today's organizations. On the one hand, it helps to
learn the details of external attacks ensuring similar future
attacks are thwarted. Additionally, network forensics is essential
for investigating insiders' abuses that constitute the second
costliest type of attack within organizations. Finally, law
enforcement requires network forensics for crimes in which a
computer or digital system is either being the target of a crime or
being used as a tool in carrying a crime. Network security protects
the system against attack while network forensics focuses on
recording evidence of the attack. Network security products are
generalized and look for possible harmful behaviors. This
monitoring is a continuous process and is performed all through the
day. However, network forensics involves post mortem investigation
of the attack and is initiated after crime notification. There are
many tools which assist in capturing data transferred over the
networks so that an attack or the malicious intent of the
intrusions may be investigated. Similarly, various network forensic
frameworks are proposed in the literature.
Mobile forensics has grown from a relatively obscure tradecraft to
a crucial part of many criminal investigations, and is now used
daily by examiners and analysts within local, state, and federal
law enforcement as well as within the military, US government
organizations, and the private "e-Discovery" industry. Developments
in forensic research, tools, and processes over the past decade
have been very successful and continue to change at a rapid pace.
Forensic Investigations and Risk Management in Mobile and Wireless
Communications is a collection of innovative research on the
methods and applications of analyzing mobile devices and data for
collection of information pertaining to the legal evidence related
to various security breaches and intrusion detection. While
highlighting topics including cybercrime, neural networks, and
smartphone security, this book is ideally designed for security
analysts, IT professionals, researchers, practitioners,
academicians, and students currently investigating the
up-and-coming aspects surrounding network security, computer
science, and security engineering.
Mobile forensics has grown from a relatively obscure tradecraft to
a crucial part of many criminal investigations, and is now used
daily by examiners and analysts within local, state, and federal
law enforcement as well as within the military, US government
organizations, and the private ""e-Discovery"" industry.
Developments in forensic research, tools, and processes over the
past decade have been very successful and continue to change at a
rapid pace. Forensic Investigations and Risk Management in Mobile
and Wireless Communications is a collection of innovative research
on the methods and applications of analyzing mobile devices and
data for collection of information pertaining to the legal evidence
related to various security breaches and intrusion detection. While
highlighting topics including cybercrime, neural networks, and
smartphone security, this book is ideally designed for security
analysts, IT professionals, researchers, practitioners,
academicians, and students currently investigating the
up-and-coming aspects surrounding network security, computer
science, and security engineering.
Social technology is quickly becoming a vital tool in our personal,
educational, and professional lives. Its use must be further
examined in order to determine the role of social media technology
in organizational settings to promote business development and
growth. Social Network Analytics for Contemporary Business
Organizations is a critical scholarly resource that analyzes the
application of social media in business applications. Featuring
coverage on a broad range of topics, such as business management,
dynamic networks, and online interaction, this book is geared
towards professionals, researchers, academics, students, managers,
and practitioners actively involved in the business industry.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|