Vol 8 Issue 4 October 2020-December 2020

Abstract: Introducing a new third-party software to an enterprise environment is often overlooked task. When it comes to adding new software to environment, an assurance of its compliance with the enterprise security posture and operational standard is a must; and the software reputation must be also verified. The software endorsement process will ensure full assessment of the third-party software at the initial stage, and a maximum utilization of IT software solutions. Moreover, it will also help to avoid duplication in software solutions within the enterprise environment. This paper will explore an overall endorsement practice and cybersecurity methodology that can help an organization to endorse new third-party software, from cybersecurity and licensing perspectives.

Keywords: software, license, security, endorsement, cybersecurity, third-party software, enterprise.

Title: Demystifying Third Party Software Endorsement

Author: Johara Aljarri, Reema Alomar, Mohammed Omani

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: Past decades has witnessed a revolution in Computing and Communication, and its worldwide predicted that hereafter human will survive with technological progress and use of information technology and Internet.

Transformation of industrial economy to knowledge economy and from a industrial society to information society is the impact of ICT and Internet. Main objective of this paper is to view Internet value in developing economies; it also describes a low cost ground-breaking notion for providing internet access using tethered aerostats. This re-locatable system is much cheaper than the conventional fixed tower based system. Usage of tethered aerostats for businesses to achieve strategic advantages is highly enhanced the movement of goods and services from manufacturers to their customers. The tethered aerostats systems market worldwide is predicted to grow by US$12 Billion, by a compounded growth of 15.4%.

Internet usage has hoist to 687.6 million exceeding half a billion for the first time, internet in one way or another has not only facilitated our daily lives but it has also reduced cost and time in general driven by urban and rural internet usage growth.

Keywords: Low cost Internet, Tethered Aerostats, Information Technology, Business, Service, Customer.

Title: Low Cost Internet’s impacts on Indian Economy

Author: Mr. Vikas P. Raut

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: In large organizations with a vast number of in-house developed web applications, identifying security weaknesses (vulnerabilities) is not a major challenge; because automated tools utilizing various techniques, such as Taint Analysis and Data Flow Analysis, are capable of identifying millions of vulnerabilities in application’s source-code based on OWASP Top 10 classification. One of the main issues challenging security analysts is the prioritization and classification of vulnerabilities. While the assessment tools will provide “lists of vulnerabilities classified by the OWASP Top 10 or some other compliance-oriented scheme” (Laura Bell, 2017), it is still not practical to timely-address risk mitigation of web applications. Most security teams would prefer to first address remediations based on the business-critical applications that manage confidential data. An example could be a B2B website that handles financial transactions. But adopting this approach will render other more popular websites, handling less sensitive information, at the bottom of the remediation list.

Keywords: In-house developed applications, business-critical applications, web-page utilization, reprioritize remediation.

Title: How to Prioritize Remediation of Cybersecurity Weaknesses in Web Applications

Author: Wael M. Alagi, Sultan AlSharif

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: Sentiment can be described in the form of any type of approach, thought or verdict which results because of the occurrence of certain emotions. This approach is also known as opinion extraction. In this approach, emotions of different peoples with respect to meticulous rudiments are investigated. For the attainment of opinion related data, social media platforms are the best origins. The hybrid classification is designed in this work which is the combination of KNN and random forest. The KNN classifier extract features of the dataset and random forest will classify data. The approach of hybrid classification is applied in this research work for the sentiment analysis. The performance of the proposed model is tested in terms of accuracy and execution time

Keywords: ISP, SVM classifier, KNN classifier, Data Mining, Sentiments analysis architecture, random forest.

Title: Sentiment Analysis Using Hybrid Classification

Author: VIKAS THAKUR, POONAM CHOUDHARY

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Research Publish Journals