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)
OT-Feature Extraction on Scrambled Images with Instantaneous Clustering for CBIR Scheme in Cloud Computing

K. Nalini Sujantha Bel; I.Shatheesh Sam

Volume 13, Issue 1 , January 2021, , Pages 1-17

https://doi.org/10.22042/isecure.2020.209056.497

Abstract
  A novel feature extraction algorithm using Otsu’s Threshold (OT-features) on scrambled images and the Instantaneous Clustering (IC-CBIR) approach is proposed for Content-Based Image Retrieval in cloud computing. Images are stored in the cloud in an encrypted or scrambled form to preserve the privacy ...  Read More

Feature-based Malicious URL and attack type detection using multi-class classification

Dharmaraj Rajaram Patil; Jayantrao Patil

Volume 10, Issue 2 , July 2018, , Pages 141-162

https://doi.org/10.22042/isecure.2021.113973.404

Abstract
  Nowadays, malicious URLs are the common threat to the businesses, social networks, net-banking etc. However, malicious URLs deal with various Web attacks like phishing, spamming and malware distribution. Existing approaches have focused on binary detection i.e. either the URL is malicious or benign. ...  Read More

Phishing website detection using weighted feature line embedding

M. Imani; Gh. A. Montazer

Volume 9, Issue 2 , July 2017, , Pages 147-159

https://doi.org/10.22042/isecure.2017.83439.377

Abstract
  The aim of phishing is tracing the users' s private information without their permission by designing a new website which mimics the trusted website. The specialists of information technology do not agree on a unique definition for the discriminative features that characterizes the phishing websites. ...  Read More