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Research Paper

Detecting DDoS attack with AI/ML models

The enormous evolution of web-based applications on the public Internet has accomplished universal communication among billions of Smart IoT (Internet of Things) devices and such smart devices communicate with each other through the network. Simultaneously, cyber-attackers have gained enough knowledge on attacking the Internet and information on Secured systems. Distributed Denial of Services evolved as a serious threat for organizations, these attacks must be mitigated immediately for preventing damages to the business. In Information and Cloud Security, DDoS attack is one of the main concerning successful attack procedures. Since DDoS attack can deny and disturb the service of one or more IoT nodes simultaneously, which causes the loss of data for any company. In other words, this will be a serious threat to the organization. ML models are implemented for resolving various Cybersecurity related problems such as Malware detections, spam mails, vulnerabilities in software, detection of an anomaly, biometric and facial recognition, and many other areas. It is essential to simulate the discrete event DDoS attack model to evaluate the efficiency of the detection model for in-house study on DDoS attacks and preventions. This paper proposes a model to analyze the impact of DDoS (Distributed Denial of Service). The implemented model was developed using Mininet and POX controller on open source. The resultant network traffic is generated as the dataset. The values of the dataset were compared and plotted with various Machine learning methods for the prediction of DDoS attacks.

Published by: Arun Narayanan N., Dhruv Kalaan

Author: Arun Narayanan N.

Paper ID: V7I4-1809

Paper Status: published

Published: August 18, 2021

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Research Paper

Effect of positive self talk training on competitive anxiety: an intervention study on male and female

This study was aimed to examine the effect of positive self-talk training on the competitive anxiety of anxious athletes. Methods: Participants were 52 team sports players (n=26 females and n=26 males), aged 18-23 years, randomly assigned into the experimental group (13 males and 13 females) and control group (13 males and 13 females). The experimental group received positive self-talk training for 30 days and the control was without any type of treatment. The dependent variables (competitive anxiety, general fear of failure) were assessed before and after the intervention. It was expected that positive self-talk reduces competitive anxiety, general fear of failure and increases self-confidence. Results: As expected, positive self-talk training decreased the level of competitive anxiety and general fear of failure and increased the self-confidence of the experimental group. Conclusion: the present study provides preliminary evidence that positive self-talk training for a period of 1 month can be used as an effective tool to reduce competitive anxiety and general fear of failure and enhance self-confidence.

Published by: Dr. Sonia Kapur, Jyoti Devi

Author: Dr. Sonia Kapur

Paper ID: V7I4-1801

Paper Status: published

Published: August 18, 2021

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Research Paper

Reasons for the success and failure of airlines in India and abroad

The civil aviation industry in India is one of the fastest-growing industries in the world with the private sector accounting for more than 75% of the market share and currently ranks at the 3rd position globally. It is expected to become the largest air passenger and transport market by 2024 after overtaking the UK. However, this growth is only limited to certain airlines and many have succumbed in front of their huge losses. This paper aims to identify the reasons for such phenomenal growth in some airlines and at the same time understand what went wrong with the others due to which they faced losses and ultimately had to be shut down. This paper is curated after rigorous research and study - both primary and secondary in order to get a true and fair picture of the scenario in India as well as abroad with regards to the aviation industry and to understand the consumer preferences for the same.

Published by: Krisha Shah, Madhav Abrol, Kartikay Sharma, Madhav Khandelwal, Keertiman Garodia

Author: Krisha Shah

Paper ID: V7I4-1767

Paper Status: published

Published: August 18, 2021

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Research Paper

Indus Civilization

Indus civilization was established along with Mesopotamia and Egyptian civilization somewhere near 1600 BC. It was the hub for urban development yet the script that was used has not been identified, yet remains a mystery. Seals played an important role in trading whereas the Symbols depict a mythical sense.

Published by: Bishal Kumar Bhuyan

Author: Bishal Kumar Bhuyan

Paper ID: V7I4-1796

Paper Status: published

Published: August 17, 2021

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Research Paper

A modified approach in shortest path algorithm

In most graph theory problems, the shortest path problem or SPP is the problem of determining a distance between two nodes (or vertices) in a weighted graph in order that the sum of the weights of its constituent edges is minimized. In a connected graph there exists at least one path between every pair of vertices. In a weighted graph, the path between a pair of vertices for which the sum of the weights of the constituent edges is minimum is called the shortest path between them. Here in this paper, we developed a new algorithm to determine the shortest path of a weighted graph which is an improvement over Dijkstra’s algorithm so as to obtain all the shortest paths of a given weighted graph. Let us first recollect Dijkstra’s algorithm so as to easily comprehend our result

Published by: Dr. Siva Prasad Behera, Dr. Debdas Mishra, Dr. Subarna Bhattacharjee, Prasanta Kumar Raut

Author: Dr. Siva Prasad Behera

Paper ID: V7I4-1770

Paper Status: published

Published: August 17, 2021

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Research Paper

Water turbidity assessment in parts of Ganga River in Allahabad Region (Prayag) during Kumbh Festival

Turbidity can be defined as the opaqueness of water due to presence of suspended materials. The higher the amount of total suspended solids in the water, the higher the measured turbidity. Causes of turbidity include soil erosion, waste discharge, urban runoff, and algal growth. Turbidity is also defined as the reduction of clarity in water due to the presence of suspended or colloidal particles. Monitoring of turbidity becomes extremely important during events like Kumbh Mela which causes a sudden rise in river turbidity. Remote sensing obtains an optical measure of water turbidity in terms of Backscattering Units. Remotely sensed image from satellite has the potential to provide crucial information to offer considerable advantages for the study of large areas, determination of current and circulation patterns, and monitoring of sedimentation, water productivity, and eutrophication. WHO, The World Health Organization, establishes that the turbidity of drinking water should not be more than 5 NTU, and should ideally be below 1 NTU. But Ganga river flowing through Allahabad shows a sudden increase in turbidity up to 13-14 BU during the Kumbh mela Event. Turbidity increase results in harming the habitat areas for fish and other aquatic life. Turbid Particles also provide attachment places for other pollutants, notably metals and bacteria which makes the water contaminated and not suitable for drinking.

Published by: Anju Bajpai, Dr. G. Sreenivasan, Dr. C. S. Jha

Author: Anju Bajpai

Paper ID: V7I4-1775

Paper Status: published

Published: August 17, 2021

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