A survey on vulnerability assessment tools and databases for cloud-based web applications

Kritikos, Kyriakos; Magoutis, Kostas; Papoutsakis, Manos; Ioannidis, Sotiris

doi:10.1016/j.array.2019.100011

Cited by 34 publications

(27 citation statements)

References 2 publications

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“…This database allows to search for necessary information concerning prebiotics and their activity by definite parameters. The advantage of using MS Office Access 2013 is its integration into desktop PCs, ability to export and convert data, and a wide range generation of forms, reports, and queries which can be used to sort data and enter it in a convenient manner [56]. This data structure is unique, as it contains information about the assessment of prebiotic activities in vitro and the different methods used to define them.…”

Section: Discussionmentioning

confidence: 99%

Online Database for Retrieval Information about Prebiotics and Their Activity

et al. 2020

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The number of studies aimed at proving the prebiotic properties of certain substances or compositions has been actively increasing, which has led to a large accumulation of scientific information that is fragmented and not systematized. Moreover, a number of criteria have been applied in these studies. The lack of an accessible and convenient information space to compare the obtained results seems to hold back not only scientific development, but also practical development in this field. A database called the «On-line Database of Researches on Activity of Prebiotics» (ODRAP) is presented in this article, which contains information about both prebiotics and some probiotics, that were used in these researches. Currently, ODRAP collects 25 bacteria genera or their combinations, 59 bacteria species, 140 prebiotic substances, 61 prebiotic production companies, 2 methods of fermentation, and 271 analyzed articles from 2001 till 2019. To facilitate access to the database, a special Web-interface was created, which allows any user who opens the Web-page to obtain information about the features and activities of prebiotics, as well as to sort the data by species and genus of bacteria applied in tests, the chemical nature or source of prebiotics, and other parameters. The convenience of the Web-interface is that it allows access to the database, regardless of the user platform and from anywhere, via the Internet.

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Section: Discussionmentioning

confidence: 99%

Online Database for Retrieval Information about Prebiotics and Their Activity

et al. 2020

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“…The 3-4-5 reference model of Cloud can be stated as follows: The purpose of this article is to help identify those points in the application lifecycle when vulnerability scanning may be done and to provide useful information for better protecting cloud applications. Finally, this paper analyses and shows that orchestration of vulnerability scanning tools can help to increase vulnerability detection coverage [6]. The author's major objective in [7] is to provide an answer to the topic of how to evaluate vulnerabilities in cloud computing and what the most common penetration testing techniques are in cloud settings.…”

Section: Related Workmentioning

confidence: 99%

Investigation of Cloud Computing Security Issues & Challenges

Sharma¹,

Singh²

2021

Atlantis Highlights in Computer Sciences

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The Trends of using cloud computing in IT industries is increasing since the Inception of this innovative technology. This new shift in the industrial technology, which will grow and develop continuously their e-governance in the coming few years. Most of the enterprises are migrating towards the cloud-computing environment rapidly due to its various advantages over traditional one. As per cisco, more than 93% workloads will be processed by Cloud data centers in 2021. Even several republics have already initiated to shape their own governmental public cloud around the globe. Phishing attempts affected the majority of educational establishments (60 percent) and account compromise (33 percent) in 2020. According to Gartner, consumers are responsible for more than 95 percent of cloud security flaws. Increasing frequent cyber-attacks potentially cause significant material damage if no special security measures are taken. The objective here is to investigate the security issues & challenges in terms of cloud specific vulnerabilities & threats using real time experimental setup with vulnerability scanner which further provide an ease to applications deployment.

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“…Apart from the generic quality criteria that vulnerabilities inherit form being actionable cyber threat intelligence items, they also have their own, esoteric ones. The authors in [7] list two main categories that a vulnerabilities database (or dataset) should cover, namely information coverage and capabilities. In terms of the former, the evaluation criteria cover the scope, impact & risk, resolution, vendor, products, exploit, categorisation, and relations.…”

Section: The Emerging Ecosystem Of Software Vulnerabilitiesmentioning

confidence: 99%

A Machine Learning Approach to Dataset Imputation for Software Vulnerabilities

Rostami

Kleszcz

Dimanov

et al. 2020

Communications in Computer and Information Science

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This paper proposes a supervised machine learning approach for the imputation of missing categorical values from the majority of samples in a dataset. Twelve models have been designed that are able to predict nine of the twelve ATT&CK tactic categories using only one feature, namely the Common Attack Pattern Enumeration and Classification (CAPEC). The proposed method has been evaluated on a 867 sample unseen test set with classification accuracy in the range of 99.88%-100%. Using these models, a more complete dataset has been generated with no missing values for the ATT&CK tactic feature.

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A survey on vulnerability assessment tools and databases for cloud-based web applications

Cited by 34 publications

References 2 publications

Online Database for Retrieval Information about Prebiotics and Their Activity

Online Database for Retrieval Information about Prebiotics and Their Activity

Investigation of Cloud Computing Security Issues & Challenges

A Machine Learning Approach to Dataset Imputation for Software Vulnerabilities

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