-22b9b34417bc6092a743eb4 20220212071833524 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 01 30 2021 9 5 Computer Science and Engineering, Panimalar Engineering College, Chennai, India. Harrsheeta Sasikumar Distributed Denial of Service (DDoS) attack is one of the common attack that is predominant in the cyber world. DDoS attack poses a serious threat to the internet users and affects the availability of services to legitimate users. DDOS attack is characterized by the blocking a particular service by paralyzing the victim’s resources so that they cannot be used to legitimate purpose leading to server breakdown. DDoS uses networked devices into remotely controlled bots and generates attack. The proposed system detects the DDoS attack and malware with high detection accuracy using machine learning algorithms. The real time traffic is generated using virtual instances running in a private cloud. The DDoS attack is detected by considering the various SNMP parameters and classifying using machine learning technique like bagging, boosting and ensemble models. Also, the various types of malware on the networked devices are prevent from being used as a bot for DDOS attack generation. 01 30 2021 145 153 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E5217.019521 https://www.ijrte.org/portfolio-item/E5217019521/ Assistant Professor in the department of Information Technology, Gauhati University, Guwahati, India. S. Sarmah S. K. Sarma Professor in the department of Information Technology, Gauhati University, Guwahati, India. M. Rahman Assistant Professor Department of Information Technology, Gauhati University, Guwahati, India. IEEE 802.11 Wireless LAN, popularly known as WiFi, has become the admired source of internet connectivity for most of the offices as well as organizations. Due to the rapid growth of multimedia data and VoIP and also to provide better quality of service (QoS), bandwidth and management of bandwidth have become important factors in 802.11 wireless LAN. In 802.11 wireless LAN, Enhanced Distributed Coordination Access (EDCA) mechanism provides QoS with service differentiation by setting different priority to different traffic types. Some of the available methods provide priority based on user category also. In this paper we have proposed an intelligent bandwidth management technique based on the user priority value, traffic priority value and the bandwidth requirement value. By combining these three values, a new metric called request weight value is calculated. Based on this request weight value, dynamically bandwidth is allocated to the users. From the simulation results, we have seen that the proposed method performs well in proper utilization of bandwidth among the available users. 01 30 2021 172 177 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E5230.019521 https://www.ijrte.org/portfolio-item/E5230019521/ Recolizado Master of Science in Information Technology at Cagayan State University Caritan Campus Caritan Tuguegarao, Cagayan Philippines. Mr. Jaymar C Dr. Marifel Grace Capili-Kummer Bachelor of Science Computer and Information Technology at Saint Paul University, U.S. The performance of our computer is vital in fulfilling the task of the user. The paper presents a solution for maintaining the performance of the computer specifically computers with Windows operating systems. In this article, the fundamental difference and problem of the Windows operating system are defined which roots in the architectural design of using single configuration storage. The security hole of windows authentication, the exploitation of Microsoft EFS, and the acquisition of password hashes from Microsoft SAM are also discussed. Various existing utility software is evaluated to investigate if they meet the user define criteria. This paper also proposes a user-level implementation of the AES 256 encryption algorithm for securing user files and a Network Blocking algorithm based on ARP Spoofing techniques that provide a user-level network monitoring capability. The proposed application is called “Giddy-ION Reloaded” which consists of four main modules; machine information acquisition and monitoring, machine optimization, machine cleaning, and tools module that is divided into submodule; encryption and decryption, network monitoring, desktop management, network optimization/ control, and task automation. The testing was conducted with the participants coming from a computer college, continuing education trainer/faculty, and various IT experts. The response from these groups was statistically treated and analyzed, where the Giddy ION rank top and shows promising results. The study is limited to windows machines with 64-bit support architecture. The developed application is ready for implementation and deployment as evidenced by its high overall performance rating as evaluated by the participants against the ISO 25010 standards. 01 30 2021 154 158 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E5238.019521 https://www.ijrte.org/portfolio-item/E5238019521/ Department of Mathematics, Brahmananda Keshab Chandra College, Kolkata, India. Sheikh Ahmed Hossain Performance evaluation of any financial institution is extremely important to look after the health and prospect of the institution. In many research of performance evaluation analysis of banks, several ratio parameters are used mostly in statistical analysis. Designing effective and comprehensive model for evaluation process of financial matters in banking sector is complex due to multiple criteria and parameters, mostly uncertain in nature. This paper presents a comprehensive process considering several financial criteria of several alternatives on the basis of several expert’s (decision maker’s) opinion and subjective judgment. Intensity of importance is represented in fuzzy scale. We used fuzzy AHP-preference programming (FPP) to obtain priority weights associated with each criteria and compromise ranking method (VIKOR) considering Market Capital, Net Sales, Net Profit, Total Assets, and Other Income in ranking alternatives. A case study involving ten active Indian Public Sector Unit (PSU) banking industries is undertaken to illustrative the feasibility of the suggested approach. A sensitivity analysis is also carried out for checking the method reliability. 01 30 2021 159 165 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E5240.019521 https://www.ijrte.org/portfolio-item/E5240019521/ Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Vijayawada, India. S Nithish Kumar M Sai Subhakar Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Vijayawada, India. S. Sumanth Reddy Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Vijayawada, India. K Veeresh Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Vijayawada, India. Venkataramana N Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Vijayawada, India. A University or educational institute generally receives a bulk of complaints posted by students every day. The issues relate to their academics or any issues related to their education or related to exam sections etc., because of these bulk of complaints received from the students every day, makes it difficult for the university to sort out them and classify them and send them to their respective departments for resolving the issues. In this project, we work on classifying these complaints based on the classes or departments they belong to, using. By using TF-IDF (term frequency-inverse document frequency) it finds terms which are more related to a specific document by converting to vectors. By capturing some keywords in the complaints, adding some weight to the keywords and using different Machine Learning classification’s we are classifying the complaint based on these keywords. This classification makes the works easier for the university and saves time which is used to sort them and gives better service for the students. Now they can directly send the complaints to the respective departments with ease. 01 30 2021 191 195 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E5247.019521 https://www.ijrte.org/portfolio-item/E5247019521/ (MBA, MPhil and Ph. D.), Associate Professor at Tribhuvan University, Nepal. Jitendra Prasad Upadhyay Pitri Raj Adhikari Ph. D. scholar, and lecturer at Shanker Dev Campus, Tribhuvan University Corporate Citizen Activities (CCA) is essential for any organiztion to attract and retain customers, and to beat the competition. CCA are the indirect and intangible assets of organizations and their response is a key indicator to achieve organizational goals. This paper attempts to examine the impact of corporate citizenship activities on the financial performance of Nepalese insurance companies. Descriptive and causal-comparative research designs are used to estimate the relationship of financial performance, the ROA and the NI (dependent variables) with independent variables (economic responsibilities, legal responsibilities, ethical responsibilities, and discretionary responsibilities). Data are collected from 325 respondents of 19 life insurance companies through structured questionnaires where the questionnaire was distributed to 500 respondents (the response rate is 65 per cent). Descriptive statistics, correlation, and multiple regression models are used to analyse the data. It is found that legal responsibility and discretionary responsibility are the major factors in determining the financial performance of insurance companies in Nepal. CCA helps to bust up the return in terms of profit. 01 30 2021 178 182 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E5251.019521 https://www.ijrte.org/portfolio-item/E5251019521/ Formerly, Protective Technology Research Centre, NTU- Singapore Professor in Civil Engineering, SAGE University, Indore India. Ankur Arun Kulkarni Now a day the construction is having rapid pace, and it has increased the requirement of raw material of construction especially coarse aggregate. In order to conserve the natural resources, use of plastic waste as partial replacement of natural aggregate in production of concrete will be a right step. This research paper discusses about the study and experimental work of “Polystyrene Concrete”, comprising of polystyrene waste shredded aggregates. Polystyrene concrete is a type of concrete, produced from a mixture of cement, sand and expanded polystyrene aggregate (EPS or UEPS aggregates). Thermoplastic polymeric material which is in the beginning in the solid form (UEPS) and it can be expanded by the use of steam and an expansive agent is called as Polystyrene. The polystyrene waste shredded to size of coarse and fine aggregate is used to replace 40% of natural aggregates. Nine trial mixes with varying proportion of these three types of polystyrene waste shredded aggregates and water-cement ratio are used. The workability of the fresh concrete mix as well as compressive strength of concrete at 28 days was obtained. This study has revealed that the polystyrene waste can be effectively used for production of resilient light weight concrete. The polystyrene concrete is best suited material for non-load bearing resilient concrete structures such as partition walls and facades. 01 30 2021 166 171 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E5254.019521 https://www.ijrte.org/portfolio-item/E5254019521/ Software Developer, Data Analyst and Digital Marketer based in Pune, Maharashtra, India. Devashree A. Joshi During the COVID-19 pandemic, the circulation of misinformation and fake news has generated lot of fact discrepancies and scientific oversights. Our research aims to comprehensively assess the spread of misinformation regarding COVID-19 and analyze its reach across demographic parameters like age group, gender and country of residence. Data Analysis has been performed using various open-source technologies like Python, Tableau, R Studio by generating diverse visual plots and Word Clouds. For experimental purposes, we considered India and USA as countries of focus and the data was collected accordingly. Furthermore, an independent, original Survey has been designed and conducted to trace the reach of viral, verbatim misinformation articles in both the countries. We studied the misinformation data across parameters like – misinformation types, motives and medium of spread. Our research proved to be of practical relevance, and it is gauged to be beneficial to strategize mitigation measures required to be enforced in not just COVID-19 pandemic like situations but also in various other fields where the misinformation problem persists. 01 30 2021 195 201 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E5260.019521 https://www.ijrte.org/portfolio-item/E5260019521/