Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
180. Considering Uncertainty in Modeling Historical Knowledge

Fairouz Zendaoui; Walid Khaled Hidouci

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 59-65

http://dx.doi.org/10.22042/isecure.2019.11.0.8

Abstract
  Simplifying and structuring qualitatively complex knowledge, quantifying it in a certain way to make it reusable and easily accessible are all aspects that are not new to historians. Computer science is currently approaching a solution to some of these problems, or at least making it easier ...  Read More

182. Proposed ST-Slotted-CS-ALOHA Protocol for Time Saving and Collision Avoidance

Ehab Khatter; Dina Ibrahim

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 67-72

http://dx.doi.org/10.22042/isecure.2019.11.0.9

Abstract
  Time Saving and energy consumption has become a vital issue that attracts the attention of researchers in Underwater Wireless Sensor Networks (UWSNs) fields. According to that, there is a strong need to improve MAC protocols performance in UWSNs, particularly enhancing the effectiveness ...  Read More

183. Cognitive Strategic Model applied to a Port System

Felisa Córdova; Claudia Durán; Fredi Palominos

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 73-78

http://dx.doi.org/10.22042/isecure.2019.11.0.10

Abstract
  Port organizations have focused their efforts on physical or tangible assets, generating profitability and value. However, it is recognized that the greatest sustainable competitive advantage is the creation of knowledge using the intangible assets of the organization. The Balanced ScoreCard, ...  Read More

184. Enhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining

Ahmed BaniMustafa

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 79-89

http://dx.doi.org/10.22042/isecure.2019.11.0.11

Abstract
  This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public ...  Read More

185. Hand Gestures Classification with Multi-Core DTW

Ayman Atia; Nada Shorim

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 91-96

http://dx.doi.org/10.22042/isecure.2019.11.0.12

Abstract
  Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel ...  Read More

186. Aspect Oriented UML to ECORE Model Transformation

Muhammad Ali Memon; Zaira Hassan; Kamran Dahri; Asadullah Shaikh; Muhammad Ali Nizamani

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 97-103

http://dx.doi.org/10.22042/isecure.2019.11.0.13

Abstract
  With the emerging concept of model transformation, information can be extracted from one or more source models to produce the target models. The conversion of these models can be done automatically with specific transformation languages. This conversion requires mapping between both models ...  Read More

187. Access and Mobility Policy Control at the Network Edge

Evelina Pencheva; Ivaylo Atanasov; Ivaylo Asenov

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 105-111

http://dx.doi.org/10.22042/isecure.2019.11.0.14

Abstract
  The fifth generation (5G) system architecture is defined as service-based and the core network functions are described as sets of services accessible through application programming interfaces (API). One of the components of 5G is Multi-access Edge Computing (MEC) which provides the open ...  Read More

188. Evaluating Multipath TCP Resilience against Link Failures

Mohammed J.F. Alenazi

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 113-122

http://dx.doi.org/10.22042/isecure.2019.11.0.15

Abstract
  Standard TCP is the de facto reliable transfer protocol for the Internet. It is designed to establish a reliable connection using only a single network interface. However, standard TCP with single interfacing performs poorly due to intermittent node connectivity. This requires the re-establishment of ...  Read More

189. A Fair Power Allocation for Non-Orthogonal Multiple Access in the Power Domain

Joel E. Cordeiro Junior; Marcelo S. Alencar; José V. dos Santos Filho; Karcius D. R. Assis

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 123-130

http://dx.doi.org/10.22042/isecure.2019.11.0.16

Abstract
  This paper presents an investigation on the performance of the Non-Orthogonal Multiple Access (NOMA) in the power domain scheme. A Power Allocation (PA) method is proposed from NOMA throughput expression analysis. This method aims to provide fair opportunities for users to improve their ...  Read More

190. Critical Success Factors for Data Virtualization: A Literature Review

Matthias Gottlieb; Marwin Shraideh; Isabel Fuhrmann; Markus Böhm; Helmut Krcmar

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 131-137

http://dx.doi.org/10.22042/isecure.2019.11.0.17

Abstract
  Data Virtualization (DV) has become an important method to store and handle data cost-efficiently. However, it is unclear what kind of data and when data should be virtualized or not. We applied a design science approach in the first stage to get a state of the art of DV regarding data ...  Read More

191. Using Machine Learning ARIMA to Predict the Price of Cryptocurrencies

Saad Ali Alahmari

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 139-144

http://dx.doi.org/10.22042/isecure.2019.11.0.18

Abstract
  The increasing volatility in pricing and growing potential for profit in digital currency have made predicting the price of cryptocurrency a very attractive research topic. Several studies have already been conducted using various machine-learning models to predict crypto currency prices. ...  Read More

192. An Optimal Utilization of Cloud Resources using Adaptive Back Propagation Neural Network and Multi-Level Priority Queue Scheduling

Anwar Saeed; Muhammad Yousif; Areej Fatima; Sagheer Abbas; Muhammad Adnan Khan; Leena Anum; Ali Akram

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 145-151

http://dx.doi.org/10.22042/isecure.2019.11.0.19

Abstract
  With the innovation of cloud computing industry lots of services were provided based on different deployment criteria. Nowadays everyone tries to remain connected and demand maximum utilization of resources with minimum timeand effort. Thus, making it an important challenge in cloud computing ...  Read More

193. Cloud and IoT based Smart Car Parking System by using Mamdani Fuzzy Inference System (MFIS)

Tahir Alyas; Gulzar Ahmad; Yousaf Saeed; Muhammad Asif; Umer Farooq; Asma Kanwal

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 153-160

http://dx.doi.org/10.22042/isecure.2019.11.0.20

Abstract
  Internet of Things (IoT) and cloud computing technologies have connected the infrastructure of the city to make the context-aware and more intelligent city for utility its major resources. These technologies have much potential to solve thechallenges of urban areas around the globe to facilitate ...  Read More

194. Towards Measuring the Project Management Process During Large Scale Software System Implementation Phase

Wajdi Aljedaibi; Sufian Khamis

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 161-172

http://dx.doi.org/10.22042/isecure.2019.11.0.21

Abstract
  Project management is an important factor to accomplish the decision to implement large-scale software systems (LSS) in a successful manner. The effective project management comes into play to plan, coordinate and control such a complex project. Project management factor has been argued ...  Read More

195. IoT Protocols Based Fog/Cloud over High Traffic

Istabraq M. Al-Joboury; Emad H. Al-Hemiary

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 173-180

http://dx.doi.org/10.22042/isecure.2019.11.3.23

Abstract
  The Internet of Things (IoT) becomes the future of a global data field in which the embedded devices communicate with each other, exchange data and making decisions through the Internet. IoT could improve the quality of life in smart cities, but a massive amount of data from different smart devices could ...  Read More

196. Virtualized Network Management Laboratory for Educational Purposes

Oula L. Abdulsattar; Emad H. Al-Hemiary

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 181-186

http://dx.doi.org/10.22042/isecure.2019.11.3.24

Abstract
  In this paper, we implement a Virtualized Network Management Laboratory named (VNML) linked to college campus network for educational purposes. This laboratory is created using Virtualbox virtualizer and GNS3 on Linux UBUNTU single HP DL380 G7 server platform. A total of 35 virtual devices (Routers, ...  Read More

197. A Comparison Study between Intelligent Decision Support Systems and Decision Support Systems

Mosleh Zeebaree; Musbah Aqel

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 187-194

http://dx.doi.org/10.22042/isecure.2019.11.3.25

Abstract
  This paper is one that explored intelligent decision support systems and Decision support systems. Due to the inception and development of systems and technological advances such as data warehouse, enterprise resource planning, advance plan system & also top trends like Internet of things, big data, ...  Read More

198. The Impact of The Biometric System on Election Fraud Elimination: Case of The North of IRAQ

Musbah Aqel; Twana Saeed Ali; Tugberk Kaya

Volume 11, Issue 3 , Summer and Autumn 2019, , Pages 195-207

http://dx.doi.org/10.22042/isecure.2019.11.3.0

Abstract
  In recent years technology and management information system has been an excellent response too many global challenges, technology innovation has expanded over almost all the sectors of, and it made many processes more accurate and very faster than before. Technology systems playeda big role part in ...  Read More