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Research Paper

An intrusion detection system in network traffic with the performance of snort in Wireshark to capture detailed information of data packets

Ideal for any closed data communication system is Data Packet. Network security means data packet security. Every day there are terrible attacks on the Internet. Quality of service has become an issue that requires a powerful traffic analysis and distribution engine for network applications. Network operators can index all applications on their network and use their full set of packet analyses to act as the primary method of intrusion detection. This study mainly focuses on a network intrusion detection system using a network packet analyzer called Wireshark. Therefore, it provides network security through network monitoring tools so that intrusion detection systems can easily gather accurate information. Packet sniffers have the decisive advantage of being an intrusion detection system that detects and blocks a variety of malware and spyware activity in network traffic. It is therefore important to evaluate the performance of Snort in Wireshark to capture, analyze and log detailed information of data packets in network traffic.

Published by: Isiaka O. S., Bolaji-Adetoro D. F.

Author: Isiaka O. S.

Paper ID: V7I4-1898

Paper Status: published

Published: August 30, 2021

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Research Paper

Content-based image retrieval using combined features of color descriptors, GLCM-SFTA, and Hu’s moments

Due to the information technology which is rapidly developing, digital content is becoming increasingly difficult to handle. This includes images that are kept on digital cameras, CCTV, and medical scanners. Areas such as medical and forensic science are using these databases to do critical tasks which include diagnosing diseases or identification of criminal suspects. However, managing and search the similar images from these databases is not an easy task. Content-Based Image Retrieval (CBIR) is one of the techniques used to manage and search similar images from a database. The performance of CBIR depends on the low level (Color, Texture, and Shape) features. In this paper, a new feature vector to represent the image in terms of low-level features and to improve the performance of CBIR is proposed. The proposed CBIR system was developed based on the combined features of Color, Texture, and Shape Features. Color features are extracted by using Color moments, HSV Color Autocorrelogram Feature (CAF), and Color Layout Descriptor (CLD). Texture features are extracted by Gray Level Co-Occurrence Matrix (GLCM) and Segmentation-based Fractal Texture Analysis (SFTA). Shape features are extracted by Hu Moments. The combined features which are made up of 165 Color Descriptor features, 109 GLCM-SFTA texture features, and 8 shape Hu's moment values are extracted to both query and database images. The extracted feature vector of the query image is compared with extracted feature vectors of the database images to obtain similar images.

Published by: Sujatha H., Dr. A. Sreenivasa Murthy

Author: Sujatha H.

Paper ID: V7I4-1907

Paper Status: published

Published: August 30, 2021

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Research Paper

Rainfall threshold intensity & other associated factors triggering debris flow in the Himalayan region – A literature review

Debris flows are fast-moving landslides that occur in a wide variety of environments throughout the world. Some landslides move slowly and cause damage gradually, whereas others move so rapidly that they can destroy property and take lives suddenly and unexpectedly. Debris flows, sometimes referred to as mudslides, mudflows, lahars, or debris avalanches, are common types of fast-moving landslides. These flows generally occur during periods of intense rainfall or rapid snowmelt. They usually start on steep hillsides as shallow landslides that liquefy and accelerate to speeds that are typically about 10 mph but can exceed 35 mph. The consistency of debris flows ranges from watery mud to thick, rocky mud that can carry large items such as boulders, trees, and cars. Debris flows from many different sources can combine in channels where their destructive power may be greatly increased. They continue flowing downhills and through channels, growing in volume with the addition of water, sand, mud, boulders, trees, and other materials. When the flows reach canyon mouths or flatter ground, the debris spreads over a broad area, sometimes accumulating in thick deposits that can wreak havoc in developed areas.

Published by: Arghadeep Dasgupta

Author: Arghadeep Dasgupta

Paper ID: V7I4-1897

Paper Status: published

Published: August 30, 2021

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Research Paper

Study of relationship between Anemia and Hypertension

Hypertension in pregnancy is one of the major complications in pregnancy, which increases the maternal mortality rate. The purpose of this study is to study the relation between anemia and hypertension for early detection and preventive measure. Method: Hemoglobin and Blood Pressure were measured in 80 women in their I, II, and III trimesters of pregnancy. Patients with infective, metabolic, or degenerative disease and patients with antihypertensive medication before pregnancy were excluded from the study. Result: In non-anemic women, blood pressure was within the normal range, whereas in the anemic group systolic blood pressure was found to be raised in the 3rd trimester. Conclusion: This study shows anemia can be well co-related with systolic hypertension and early detection of anemia can prevent further complications.

Published by: Dr. Hemangini Chaudhari, Dr. Vidhya Rathwa, Dr. Payal Danger

Author: Dr. Hemangini Chaudhari

Paper ID: V7I4-1901

Paper Status: published

Published: August 30, 2021

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Research Paper

Consumerism

Post-WWI, the idea of consumerism emerged. Appliances that made the life of American housewives much simpler were introduced into society. These appliances were commonly known as ‘electric servants’ as they made everyday tasks easier and faster to finish. They included washing machines, vacuum cleaners, refrigerators that had freezers. Further, post the Great Depression and WWII, the living standards of the American people increased significantly as the US emerged as a powerful military force. Society became more affluent, suburban lifestyle and the middle class emerged. With this new inflow of income, there had to also be an outflow of this income. Americans became indulgent in material desire, spending most of their money on goods like televisions, cars, and home appliances – things that modernized their life. . Between 1945 and 1949, Americans purchased 20 million refrigerators, 21.4 million cars, and 5.5 million stoves, a trend that continued well into the 1950s.

Published by: Baikunt Sachdeva

Author: Baikunt Sachdeva

Paper ID: V7I4-1904

Paper Status: published

Published: August 30, 2021

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Research Paper

Image classification

More than 25 % of the entire revenue in E-Commerce is attributed to apparel & accessories. A major problem they face is categorizing these apparel from just the images especially when the categories provided by the brands are inconsistent. There is potentially n number of categories in which a given image can be classified. Manually checking and classifying images is a very tedious process. The task becomes near impossible when we're faced with a massive number of images, say 10,000 or even 100,000. How useful would it be if we could automate this entire process and quickly label images per their corresponding class? We can solve this problem by implementing the image classification

Published by: Guru S. S., Giridharan K., Mohammed Fahad, Fahid Akthar A.

Author: Guru S. S.

Paper ID: V7I4-1865

Paper Status: published

Published: August 30, 2021

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