Volume 16 (2024)
Volume 15 (2023)
Volume 14 (2022)
Volume 13 (2021)
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)
Artificial Intelligence and Dynamic Analysis-Based Web Application Vulnerability Scanner

Mehmet Ali Yalçınkaya; Ecir Uğur Küçüksille

Volume 16, Issue 1 , January 2024, , Pages 55-77

https://doi.org/10.22042/isecure.2023.367746.847

Abstract
  The widespread use of web applications and running on sensitive data has made them one of the most significant targets of cyber attackers. One of the most crucial security measures that can be taken is the detection and closure of vulnerabilities on web applications before attackers. In this study, a ...  Read More

Cognitive Strategic Model applied to a Port System

Felisa Córdova; Claudia Durán; Fredi Palominos

Volume 11, Issue 3 , August 2019, , Pages 73-78

https://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

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

Ahmed BaniMustafa

Volume 11, Issue 3 , August 2019, , Pages 79-89

https://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