The Performance of IPv4 and IPv6 in Terms of Routing Protocols using GNS 3 Simulator

Jan 5, 2018

Journal Procedia Computer Science

publisher ScienceDirect

DOI https://doi.org/10.1016/j.procs.2018.04.147

Internet Protocol v6 is considered to be a solution for many problems faced by Internet Protocol v4. These problems consist of issues such as space exhaustion and security. In this paper, a virtual scenario has been built to test the performance of IPV4 and IPV6 with a specific focus on analyzing their performance in delivering the messages from the vendor to the terminal, with more emphasis towards the Latency and end-to-end delay. Three different types of dynamic routing protocols, RIP, EIGRP and OSPF, have been utilized for this purpose. The simulation that was run using the same protocols for two IPVs, reveal that IPV6 have clear advantage over IPv4 in the form of lesser percentage of lost messages and more high-speed (delivery).

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Detection of Phishing Websites Using Machine Learning

Jan 30, 2020

Journal Inventive Communication and Computational Technologies

publisher Springer

Phishing is defined as imitating a creditable company’s website aiming to take private information of a user. These phishing websites are to obtain confidential information such as usernames, passwords, banking credentials and some other personal information. Website phishing is the act of attracting unsuspecting online users into revealing private and confidential information which can be used by the phisher in fraud, blackmail or other ways to negatively affect the users involved. In this research, an approach had been proposed to detect phishing websites by applying a different kind of algorithms and filters to achieve a reliable and accurate result. The experiments were performed on four machine learning algorithms, e.g., SMO, logistic regression and Naïve Bayes. Logistic regression classifiers were found to be the best classifier for the phishing website detection. In addition, the accuracy was enhanced when the filter had been applied to logistic regression algorithm.

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