Rajasthan Technical University

About: Rajasthan Technical University is a education organization based out in Kota, Rajasthan, India. It is known for research contribution in the topics: Photovoltaic system & PID controller. The organization has 716 authors who have published 1084 publications receiving 4530 citations. The organization is also known as: RTU.

Botnet: A new network terminology

Abstract: The continued growth and diversification of the Internet has been accompanied by an increasing prevalence of attacks and intrusions. It can be argued, however, that a significant change in motivation for malicious activity has taken place over the past several years: from vandalism and recognition in the hacker community, to attacks and intrusions for financial gain. This shift has been marked by a growing sophistication in the tools and methods used to conduct attacks, thereby escalating the network security arms race. The reactive methods for network security that are predominant today are ultimately insufficient and that more proactive methods are required. One such approach is to develop a foundational understanding of the mechanisms employed by malicious software (malware) which is often readily available in source form on the Internet. Here is a new network known as BOTNET. A botnet is a group of computers that have been compromised, and run a remote control bot application. The bot herder will send commands to the droves of compromised systems, which will gleefully obey.

Modified SIRD Model for COVID-19 Spread Prediction for Northern and Southern States of India.

Abstract: The Severe Acute Respiratory Syndrome Coronavirus 2 (SAR-CoV-2) is the strain of coronavirus that causes coronavirus disease (COVID-19), the respiratory illness that resulted in COVID-19 pandemic in early December 2019. Due to lack of knowledge of the epidemiological cycle and absence of any type of vaccine or medications, the Government issued various non-pharmacological measures to end the COVID-19 pandemic. Several researchers applied the Susceptible-Infected-Recovered-Deceased (SIRD) compartmental epidemiology process model to identifying the effect of different governments intervention methods enforced to mollify the spread of COVID-19 epidemic. In this paper, we aim to provide a modified SIRD model for COVID-19 spread prediction. We have analyzed the data of the Northern and Southern states of India from January 30, 2020, to October 24, 2020 using the proposed SIRD model and existing SIRD model. We have made the predictions with reasonable assumptions based on real data, considering that the precise course of an epidemic is highly dependent on how and when quarantine, isolation, and precautionary measures were imposed. The proposed method gives better approximation values of new cases, R0 (Reproductive Number), daily deaths, daily infectious, transmission rate, and recovered individuals.Through the analysis of the reported results, the proposed SIRD model can be an effective method for investigating the effect of government interventions on COVID-19 associated transmission and mortality rate at the time of epidemic.

A Survey and Challenges in IoT Networks

Abstract: The Internet has become an important part of today's human lifestyle. Due to massive demand and need, researchers went further than just using computers to access the internet. These researchers led to the birth of the Internet of Things. It also has some issues such as energy-efficient communication, installation cost, inconvenience to users, management of large sensed data and the interoperability among domains. This paper presents a survey on issues such as energy efficient communication among nodes, interoperability between different heterogeneous data and domains, and data management of huge sensed data.

Chaotic Spider Monkey Optimization Algorithm with Enhanced Learning.

Abstract: Spider monkey Optimization (SMO) algorithm is a category of swarm intelligence-based algorithms, which mimics the fission–fusion social system (FFSS) comportment of spider monkeys. Although, SMO is proven to be a balanced algorithm, i.e., it balances the exploration and exploitation phenomena, sometimes the performance of SMO is degraded due to slow convergence in the search process. This article presents an efficient modified SMO algorithm which is capable of suppressing these inadequacies and is named as chaotic spider monkey optimization with enhanced learning (CSMO) algorithm. In this proposed algorithm, a chaotic factor is introduced in the Global Leader stage for providing appropriate stochastic nature and enhanced learning methods are commenced over the Local Leader stage and the Local Leader Learning stage in the form of learning method and exploring method, respectively. These changes help to enhance the exploration and exploitation proficiencies of SMO algorithm. Moreover, this proposed strategy is analysed on 12 different benchmark functions, and the results are being contrasted with original SMO and two of its recent variants, namely power law-based local search in SMO (PLSMO) and Levy flight SMO (LFSMO).

Predicting Software Reliability using Computational Intelligence Techniques: A Review

Abstract: Software measurement is yet in an infant stage. There is hardly any efficient quantitative method to represent software reliability. The existing methods are not generic and have many limitations. Various techniques could be used to enhance software reliability. However, one has to not only balance time but also cater to budget constraints. Computational Intelligence (CI) techniques that have been explored for software reliability prediction have shown remarkable results. In this paper, the applications of CI techniques for software reliability prediction are surveyed and an evaluation based on some selected performance criteria is presented.