About: R.M.K. College of Engineering and Technology is a based out in . It is known for research contribution in the topics: Diesel fuel & Ultimate tensile strength. The organization has 329 authors who have published 297 publications receiving 1409 citations.
TL;DR: The need for automated risk assessments with the help of NLP to auto identify the risks on the analysis of weakness and vulnerabilities is addressed.
Abstract: In typical software development practice, the risk assessment is not being done in an integrated manner along with the SDLC life cycle. Mostly, risk assessment is a reactive process carried out either during the deployment process or during the evaluation of software for business. Humans are involved in the risk assessment process which is time consuming, error prone and expensive. The risks identified is also not immediately reflected upon the various people in the software development value chain. This causes the churning rate to find or alleviate risks in the future. In typical SDLC, risks may be developed while coding and it may be evident and would takes different shape as different version of the software gets updated over a period of time. Security aspects of the software solution depends on the code which needs to be consistently tracked on a continuous basis to monitor changes and its related risks, without which vulnerabilities and weakness identification will be reactive. It is always essential to identify risks based on the experience from others that is where the use of risk assessment frameworks would be handy along with vulnerability and weakness database such as common weakness enumeration, common vulnerability enumeration and Exploit DB. In this paper, NLP is implemented using deep learning techniques. This paper addresses the need for automated risk assessments with the help of NLP to auto identify the risks on the analysis of weakness and vulnerabilities.
TL;DR: Assessment of the applications online for vulnerabilities at regular intervals and if any changes are made in the code, Webhook will trigger the vulnerability checking tool based on Hashing algorithm to check for vulnerabilities in the updated application.
Abstract: Cloud computing is a very rapidly growing technology with more facilities but also with more issues in terms of vulnerabilities before and after deploying the applications into the cloud The vulnerabilities are assessed before the applications are deployed into the cloud However, after deploying the applications, periodical checking of systems for vulnerabilities is not carried out This paper assesses the applications online for vulnerabilities at regular intervals and if any changes are made in the code, Webhook will trigger the vulnerability checking tool based on Hashing algorithm to check for vulnerabilities in the updated application The main aim of this system is to constantly scan the applications that are deployed in the cloud and check for vulnerabilities as part of the continuous integration and continuous deployment process This process of checking for vulnerabilities after every update in the application should be included in the software development lifecycle
TL;DR: In this article, a battery thermal management system is used and they having various techniques to cool the battery and maintain the optimum temperature, including air cooling, liquid cooling, phase change materials, cold plates and heat pipes.
TL;DR: In this paper, the authors focused on the titanium alloy Ti-6Al-4V diffusion bonded to AISI 304 stainless steel with silver foil as an interlayer, and the results from mechanical testing showed that shear strength values have a direct relationship with bonding time.
TL;DR: In this paper, the friction welding characteristics between Ti-6Al-4V and SS304L into which pure oxygen free copper (OFC) was introduced as interlayer were investigated.
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|K. K. Thyagharajan
|S. H. Shekh
|K. Vinoth Kumar
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