Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


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Editorial Advisory Board's Chair
William Lesso

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Editors

Journal's Reviewers
 

Description and Aims

Submission of Articles

Areas and Subareas

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Editorial Peer Review Methodology

Integrating Reviewing Processes


Are We Meeting Pedagogic Requirements? – The Quadratic Equation
Russell Jay Hendel
(pages: 1-7)

Facilitating Effective Student Participation in an Online Environment
Nanda van der Stap, Risa Blair
(pages: 8-11)

Virtual Global Classrooms without Walls: Collaborative Opportunities for Higher Learning Engagement
Cathy MacDonald, Debra Sheppard-LeMoine
(pages: 12-16)

Augmented Reality as Visual Communication for People with ASD
Esteban Menéndez, María Daniela López de Luise
(pages: 17-21)

Study of Race Condition: A Privilege Escalation Vulnerability
Tanjila Farah, Rashed Shelim, Moniruz Zaman, Delwar Alam
(pages: 22-26)

From the Lab to the Field: 3D Technology Supporting Study and Conservation Processes on Ancient Egyptian Artefacts
Paola Buscaglia, Elena Biondi, Alessandro Bovero, Tomasso Quirino
(pages: 27-32)

Digital Forensics Compute Cluster (DFORC2) – A New High Speed Distributed Computing Capability for Digital Forensics
Daniel Gonzales, Zev Winkelman, Trung Tran, Ricardo Sanchez, Dulani Woods, John Hollywood
(pages: 33-38)

Proposal of a Bus Location System Based on Participatory Sensing with BLE Devices and Smartphones
Katsuhiro Naito, Katsuyuki Tanaka
(pages: 39-44)

Technical Change and Employment in an Emerging Economy
Humberto Merritt
(pages: 45-53)

Interpretation of the Results of a Case Study about Impacts and Influences of Exogenous Variables in the Planning of Chronogram and Budget in Software Projects
Altino José Mentzingen de Moraes
(pages: 54-59)

Flipped Classroom – A Flexible Way of Teaching Technology Usage for Diagnostics in the Medical Subdomain ENT
Walter Koch, Jochen Schachenreiter, Klaus Vogt, Gerda Koch
(pages: 60-64)

ERP Selection: The Lifeblood of an Organization
Desmond (Tres) Bishop
(pages: 65-69)

Proposing an Education System to Judge the Necessity of Nuclear Power in Japan
Ariyoshi Kusumi
(pages: 70-74)

Biometric Encryption System for Increased Security
Ranjith Jayapal, Pramod Govindan
(pages: 75-80)

BIM as a Structural Safety Study Tool in Case of Fire - BIMSCIP
Marcelo Franco Porto, José Ricardo Queiroz Franco, Luiza Giori Barcellos Correa, Lucas Vinicius Ribeiro Alves, Renata Maria Abrantes Baracho
(pages: 81-86)

Evaluating the Construct Validity of Basic Science Curriculum Assessment Instrument for Critical Thinking: A Case-Study
Chau-Kuang Chen, Adriana Marie Horner, Michelle Scott, Stephanie C. McClure
(pages: 87-92)

The Outer Banks Study – Physio-Chemical Parameters for Water Quality Testing/Professional Development Program for Teachers
Joseph Stringer, Timothy Bowman, Keith Vinson, Catherine Warnecke, Nora Lewis, William Slattery, Suzanne K. Lunsford
(pages: 93-97)


 

Abstracts

 


ABSTRACT


Network Intrusion Detection System – A Novel Approach

Krish Pillai


Network intrusion starts off with a series of unsuccessful breakin attempts and results eventually with the permanent or transient failure of an authentication or authorization system. Due to the current complexity of authentication systems, clandestine attempts at intrusion generally take considerable time before the system gets compromised or damaging change is affected to the system giving administrators a window of opportunity to proactively detect and prevent intrusion. Therefore maintaining a high level of sensitivity to abnormal access patterns is a very effective way of preventing possible break-ins. Under normal circumstances, gross errors on the part of the user can cause authentication and authorization failures on all systems. A normal distribution of failed attempts should be tolerated while abnormal attempts should be recognized as such and flagged. But one cannot manage what one cannot measure. This paper proposes a method that can efficiently quantify the behaviour of users on a network so that transient changes in usage can be detected, categorized based on severity, and closely investigated for possible intrusion. The author proposes the identification of patterns in protocol usage within a network to categorize it for surveillance. Statistical anomaly detection, under which category this approach falls, generally uses simple statistical tests such as mean and standard deviation to detect behavioural changes. The author proposes a novel approach using spectral density as opposed to using time domain data, allowing a clear separation or access patterns based on periodicity. Once a spectral profile has been identified for network, deviations from this profile can be used as an indication of a destabilized or compromised network. Spectral analysis of access patterns is done using the Fast Fourier Transform (FFT), which can be computed in T(N log N) operations. The paper justifies the use of this approach and presents preliminary results of studies the author has conducted on a restricted campus network. The paper also discusses how profile deviations of the network can be used to trigger a more exhaustive diagnostic setup that can be a very effective first-line of defense for any network.

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