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Research Paper

Detection of macro based attacks in office documents using Machine Learning

With the rapid developments in internet, users share information through document files generated through online or offline office software. Due to implicit trust on the web and wide acceptance of these document files (such as PDF, DOC, Office Open XML), users share documents on the web by trusting third-party services which can be easily exploited by cybercriminals to inject malicious code (Malware) into the document files by various means of exploitations. These exploitations are undetectable and easily evaded on antivirus software which makes the problem of malware detection and classification even more complex. In recent years, the attacks that leverage office documents have gradually increased and thus harder to detect since malware authors use various ways to inject malicious code on to the office documents. They offer flexibility in document structure with numerous features for attackers to exploit. In this paper, a broad classification of macro based malicious document attack is provided along with a detailed description of the attack opportunities available using office documents. A hybrid malware analysis technique is proposed which thoroughly analyze the file for any macro attacks along with decision paradigms such as machine learning is used to detect and classify the malicious document present in Microsoft Office applications such as Word, Excel, Power point.

Published by: Aishwarya, Bhumica B., Sumit Suman, Ravi V.

Author: Aishwarya

Paper ID: V7I4-1460

Paper Status: published

Published: July 22, 2021

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Research Paper

Comparison of the presence of Comorbidities in Recovered and Expired patients with COVID-19 infection

Background The Covid 19 pandemic, has been reverberating across the globe with varying severity & disease presentations. The epidemiological factors associated with the disease included the age & the associated comorbidities like Hypertension, Diabetes Mellitus & Chronic heart & Lung diseases amongst others. Objectives To study the presence of Comorbidities in Covid 19 patients. Methods A retrospective observational study from the laboratory and medical records was conducted on consecutive 100 recovered & Expired patients admitted to a tertiary care centre. Results & Conclusions; The average age of the Recovered & Expired patients was 43.68 years & 58.71 years with a male female ratio of 58:42 & 74::26 respectively. An increase in the age with an increasing no of comorbidities was seen in both the groups. A significant male preponderance was seen showing an increase with increasing number of the associated comorbidities. Amongst other comorbidities, more than 50% of the expired patients were hypertensive compared to only 20% of the recovered patients. 38% of the expired patients were admitted with a history of Diabetes Mellitus compared to 23% of the expired patients. 70% of all patients having Hypertension & 63% of all having DM as the only comorbidity expired from the disease. 86% of all patients with a cardiac disease & 100% of all patients in the study having an associated kidney disease or immunocompromised expired from the disease. Hence a significant association was found between associated comorbidities & mortality in the patients.

Published by: Dr. Anjali Goyal, Dr. Heta Patel, Dr. Chandni Gadara, Dr. Shachi Shah, Dr. Misha Antani

Author: Dr. Anjali Goyal

Paper ID: V7I4-1425

Paper Status: published

Published: July 22, 2021

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Research Paper

Fault Detection and Diagnosis in PV System Array

Solar energy has procurement increasing attention in modernistic year. The power generation from solar source is always clean and free from pollution. In recent year, the price of solar PV panel is going downwards which increased the attention to use solar PV application in the recent years. Machine Learning techniques are employed in photovoltaic (PV) systems to make full utilization of PV array output power which depends on solar irradiation and ambient temperature. For such a large scale growing business it is necessary for it to be free of faults so that are ensured smooth and hassle free working.

Published by: Vinit Koli, Abhijit Shankar Iyer, Aniket Kedare, Vinayak More, Milind Paraye

Author: Vinit Koli

Paper ID: V7I4-1284

Paper Status: published

Published: July 22, 2021

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Review Paper

Sigmund Freud’s Journey from ‘Libido’ Theory to the ‘Unconscious’ Theory in Art

Freud tried to probe deeper into the unknown realm of the unconscious and was successful in this. Freud also conducted psychoanalytic studies on art and thus attempted to find unconscious factors within the artist's own psyche.

Published by: Ridhi Sarraf Riddhima

Author: Ridhi Sarraf Riddhima

Paper ID: V7I4-1451

Paper Status: published

Published: July 21, 2021

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Research Paper

Plague and death in the play Romeo and Juliet

William Shakespeare was an excellent writer that changed the front face of the English language. Romeo and Juliet have been one of the best-known literary works. Through this paper, it can be understood how the external circumstances that had affected England and how Shakespeare has blinded this aspect to the theme of death in his tragedy Romeo and Juliet. The black death had directly and indirectly affected the life of the people as they could see mass destruction all around them and this could be partially evident through the play Romeo and Juliet.

Published by: K. Athira, Dr. Sowmiya L. M.

Author: K. Athira

Paper ID: V7I4-1463

Paper Status: published

Published: July 21, 2021

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Research Paper

Application for Donation Centers

The aim of this application was to look at how donations work and the way small-NGOs are adapting in terms of technology and also the growing crisis around Covid-19 and the way it's affected them adversely. The cross-platform application can facilitate NGOs to publish their desires and what has to be provided to the poor on pressing basis and also the donor will simply select based on their ability to present food, garments or commodities that they will present to those in want. The manual posts can facilitate the users select what they need to present rather than restricted selections. the appliance would be a linking bridge between unaware donors and NGOs searching for bound donors that may profit the necessitous.

Published by: Atul Satam, Ninad Gavli, Bhavna Arora

Author: Atul Satam

Paper ID: V7I4-1454

Paper Status: published

Published: July 21, 2021

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