[AISWorld] [AJIS] New Article: A Comprehensive Review and Meta-Analysis on Applications of Machine Learning Techniques in Intrusion Detection.

[Ajis Editor]

Hi,

The *Australasian Journal of Information Systems* has just published its
latest article.

*Chattopadhyay, M., Sen, R., & Gupta, S. (2018). A Comprehensive Review and
Meta-Analysis on Applications of Machine Learning Techniques in Intrusion
Detection. Australasian Journal of Information Systems, 22. doi:
http://dx.doi.org/10.3127/ajis.v22i0.1667
<http://dx.doi.org/10.3127/ajis.v22i0.1667>*

*Abstract*
Securing a machine from various cyber-attacks has been of serious concern
for researchers, statutory bodies such as governments, business
organizations and users in both wired and wireless media. However, during
the last decade, the amount of data handling by any device, particularly
servers, has increased exponentially and hence the security of these
devices has become a matter of utmost concern. This paper attempts to
examine the challenges in the application of machine learning techniques to
intrusion detection. We review different inherent issues in defining and
applying the machine learning techniques to intrusion detection. We also
attempt to identify the best technological solution for the changing usage
pattern by comparing the different machine learning techniques on different
datasets and summarizing their performance using various performance
metrics. This paper highlights the research challenges and future trends of
intrusion detection in dynamic scenarios of intrusion detection problems in
diverse network technologies.

*Keywords*
Intrusion detection; machine learning; soft computing; dataset; performance
metrics; cyber-infrastructure; mobile communications; mobile systems;
security; wireless technology

-=-=-=-
*Call for Papers*

AJIS publishes high quality contributions to the global Information Systems
(IS) discipline with an emphasis on theory and practice on the Australasian
context.

Topics cover core IS theory development and application (the nature of
data, information and knowledge; formal representations of the world, the
interaction of people, organisations and information technologies; the
analysis, design and deployment of information systems; the impacts of
information systems on individuals, organisations and society), IS domains
(e-business, e-government, e-learning, e-law, etc) and IS research
approaches.

Research and conceptual development based in a very wide range of
epistemological methods are welcomed.

All manuscripts undergo double blind reviewing by at least 2 well qualified
reviewers. Their task is to provide constructive, fair, and timely advice
to authors and editor.

AJIS welcomes research and conceptual development of the IS discipline
based
in a very wide range of epistemologies. Different types of research paper
need to be judged by different criteria. Here are some assessment criteria
that may be applied:

•       Relevance - topic or focus is part of the IS discipline.
•       Effectiveness - paper makes a significant contribution to the IS
body of knowledge.
•       Impact - paper will be used for further research and/or practice.
•       Uniqueness - paper is innovative, original & unique.
•       Conceptual soundness - theory, model or framework made explicit.
•       Argument - design of the research or investigation is sound;
methods appropriate.
•       Clarity - Topic is clearly stated; illustrations, charts & examples
support content.
•       Reliability - data available; replication possible.
•       References - sound, used appropriately, and sufficient –
appropriate AJIS articles referenced
•       Style - appropriate language, manuscript flows.

This journal provides immediate open access to its content on the principle
that making research freely available to the public supports a greater
global exchange of knowledge.

AJIS has been published since 1993 and appears in the Index of Information
Systems Journals, is ranked "A" by both the Australian Council of
Professors and Heads of Information Systems and the Australian Business
Deans' Council.

In addition to web distribution, AJIS is distributed by EBSCO, it is listed
in Cabell's International Directory and is indexed by EBSCO, Elsevier,
Scopus and the Directory of Open Access Journals.

Thanks for the continuing interest in our work,

Cheers
Associate Professor John Lamp
Editor-in-Chief, Australasian Journal of Information Systems
http://journal.acs.org.au/index.php/ajis/

Never mind “publish or perish,” “get visible or vanish”
(That slogan is licensed under a Creative Commons
Attribution-NonCommercial-ShareAlike 3.0 Unported License
<http://creativecommons.org/licenses/by-nc-sa/3.0/>.)