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Review Paper

Phishing website detection using Machine Learning

Today internet or websites plays a major role in every person's life. Almost Every sector using the website services like the banking sector using some apps for payment, the passport sector is using for registration and renewal of passport, the government sector for application of PAN cards, adhar cards, etc. This makes human life simpler. But this provides an opportunity to make phishing websites. Phishing websites are the same as legitimate or real websites. The purpose of the phishers is to steal their personal information, account ID, Passwords from individuals and organizations. They even add some tricks by asking security questions like a pet name, city name to gain users' trust. Although legitimate and phishing looks like same there are some features that make difference between that two things. That features such as IP address, URL length, having @ symbol, double slash redirection, Prefix, and suffix, having subdomain, domain registration link, HTTPS tokens, Request URL, URL of anchor, disabling right-click, using a pop-up window, and some more. Already many approaches are proposed for detecting phishing websites machine learning is the most appropriate one. This is because there are some common features that can be identified by machine learning. In this paper, we used a random forest algorithm to detect phishing websites based on features that make difference between both of the websites.

Published by: R. Dhatri, N. Shafiyabi, U. Nithish, P. Vamsi, K. Subrahmanya Kousik

Author: R. Dhatri

Paper ID: V7I4-1324

Paper Status: published

Published: July 14, 2021

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Others

Enhanced Security implementation in IoT

This research paper is about implementing security protocols in IoT. IoT devices are tremendously getting popularity and are in used frequently by users. Security is more critical in IoT. Here we are using a privacy mechanism approach is Attribute-Based Encryption (ABE). A public-key encryption approach that enables smooth access control, scalable key management, and flexible data distribution. We concern with two types of ABE, B Key-Policy Attribute-Based Encryption (KP-ABE) and Ciphertext-Policy Attribute-Based Encryption (CP-ABE) are the best for secured use of IoT. The main focus of this implementation is to applying security to the pub-sub architecture using KP-ABE. KP-ABE mechanism. We are implementing AES cryptography on the payload. By use of cipher key to generate dynamic S-Box which is changing with every changing of the cipher key. That results in cryptographic strength.

Published by: Punam Mahendra Lokhande

Author: Punam Mahendra Lokhande

Paper ID: V7I4-1321

Paper Status: published

Published: July 14, 2021

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Research Paper

Remote control tool to test the interfaces of IoT hub

The proposed Remote-Control service tool allows remote connection of the medical devices with the IoT hub software. The hub provides proactive services to the associate devices and these devices are connected to the hub via the proposed tool. The tool realizes the features offered by the hub and is capable of performing registration of the associate devices via unique identification numbers such as the serial number and material number, or the system identifier along with attribute update feature. The tool is deployed via the CICD pipeline using Azure DevOps. The functional correctness of the code and its comprehensive analysis are done by unit testing and generation of code coverage report respectively.

Published by: Shreevidya S., Nagaraju P., Manoj Kumar Podha

Author: Shreevidya S.

Paper ID: V7I4-1315

Paper Status: published

Published: July 14, 2021

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Review Paper

Review paper on improving COVID-19 vaccine distribution in India

With the stark rise in the outbreak of COVID-19 in numerous countries, India, amongst other nations, too is considerably affected by it also it has shaken the global health system and economy by their roots. The virus is still spreading and there are no signs of decreasing the trend. Vaccination is the only effective and important means which could control this situation. Several research institutions and pharmaceutical companies have plunged into the race of vaccine development against COVID‐19 and currently, it is being distributed among normal people. Logistics and supply chain for distribution of vaccine in a country like India where the population is way too much is the challenge. The deployment of COVID-19 vaccines is kind of a challenge because of transportation and storage. Temperature data is an important source of knowledge that can be recorded from different data sources such as sensors. The study focuses on predictive maintenance to manage the vaccine distribution while transporting. Also, it focuses on post-vaccine symptoms data which can be used for improving the vaccine.

Published by: Siddharth Padhiar, Juhi Patel, Gaurav Bhattad

Author: Siddharth Padhiar

Paper ID: V7I4-1305

Paper Status: published

Published: July 14, 2021

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Research Paper

Clinical evaluation of Standard Q Rapid Ag TEST vs RT PCR

The Pandemic COVID-19 poses the major problem in diagnosing which requires skilled technicians and well-equipped infrastructure. To overcome we have evaluated the Standard Q rapid Ag test for SARS-CoV-2 virus from nasal swab at POC sites which was eventually compared with RT PCR as reference assay. A maximum of 505 samples were collected from the patients who visit hospitals and laboratories for different purposes with appropriate consent form. It is found to be that rapid Ag test shows good sensitivity, specificity and predictive value range with RT PCR and it will be also useful in swarm screening and in emergency conditions.

Published by: Dr. Manjubhashini, Soundaravalli V., Santhiya S., Vidyapoornam N.

Author: Dr. Manjubhashini

Paper ID: V7I4-1280

Paper Status: published

Published: July 14, 2021

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Research Paper

Seismic retrofitting and collapse evaluation of irregular bridge with non-linear effects

Performance of bridges with elastic pad bearing is weak in earthquakes. On 2004 Sumatra earth quake Chengappa bridge in Andaman suffered from the dislocation of bridge. This study examine the structural performance of Chengappa bridge with and without dampers. In first model examine the seismic effect of linear bridge with and without damper. In second model seismic effect of double curved bridge is examined with and without damper. Finite element models were developed, time history analysis and dynamic analysis performed using ANSYS to assess the structural performance of these bridge. The dimensions of the bridge used for the analysis taken same as the chengappa bridge for both linear and non-linear effects. Structure were analysed under GM3 earthquake loading. Time period, deck displacement, base shear and acceleration investigated

Published by: Firoz P. Andhru, Remya Raju

Author: Firoz P. Andhru

Paper ID: V7I4-1202

Paper Status: published

Published: July 13, 2021

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