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)
1. 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 , Winter and Spring 2021, , Pages 1-17

http://dx.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

2. Feature-based Malicious URL and Attack Type Detection Using Multi-class Classification

D. Patil; J. Patil

Volume 10, Issue 2 , Summer and Autumn 2018, , Pages 141-162

http://dx.doi.org/10.22042/isecure.2018.0.0.1

Abstract
  Nowadays, malicious URLs are the common threat to the businesses, social networks, net-banking. Existing approaches have focused on binary detection i.e., either the URL is malicious or benign. Very few literature is found which focused on the detection of malicious URLs and their attack types. Hence, ...  Read More

3. Phishing website detection using weighted feature line embedding

M. Imani; Gh. A. Montazer

Volume 9, Issue 2 , Summer and Autumn 2017, , Pages 147-159

http://dx.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