Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification

Ali, Ishfaq; Asif, Muhammad; Shahbaz, Muhammad; Khalid, Adnan; Rehman, Mariam; Guergachi, Aziz

doi:10.1109/access.2018.2883077

Cited by 20 publications

(13 citation statements)

References 21 publications

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“…We adapted Text Categorization Process [19], Restricted Misuse Case Modeling [20], validating security patterns using Test Template [21] approaches to extend our Methodology. The proposed Sa-SDLC methodology, integrate security patterns mechanisms in each phase of SDLC to reduce impact of vulnerabilities.…”

Section: The Proposed Methodologymentioning

confidence: 99%

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Development of IoT Health Monitor System using Security Patterns

Aruna¹,

Reddy²,

Sunitha³

2020

IJEAT

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Context: The most important non-functional requirement of the software application is the security. Developing Secure Software is a challenging Process. Software vulnerabilities and defects may disclose by developers, users, hackers due to Software-intensive systems get connected more and more in every day’s lives. A better way to develop secure software is, enhance security processes in all the phases in SDLC. To enhance security in SDLC process required lots of mechanisms and systematic measures to assess the security during the development process. Objective: In this paper, we propose a method “Security aware-Software Development Life Cycle (Sa-SDLC) using Security Patterns”. We also measure our security efforts in SDLC. This method fills the insecurity gaps from root level to top level in Granular style approach. Our method is suggestible for security critical applications such as Medical, Finance, Legacy and Communication (Messaging like email) Systems. Results: we successfully implemented our approach on remote health monitor since IoT devices are convenient in everyday life, these devices are using in home, environment, healthcare due to its feasible networking, storage and process features etc. In IoT health care applications, security of the sensitive data is paramount since humans are part of the IoT platform. IoTs heterogeneous network connectivity and expected growth, opens many new threats and attacks which impacts on life of a patient. Conclusion: Hence, our proposed methodology is implemented on Security Essential IoT based health care application and measures shows our method is improved software security

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Section: The Proposed Methodologymentioning

confidence: 99%

“…Requirements: To identify the security patterns, Security Requirement Specification (SRS) and Security Pattern Repository (SPR) has to be prepared [19] [22][23] as show in Table 1 and 2 respectively. Part of structure of SRS Query:…”

Section: Step 11 Identification Of Security Patterns For Securitymentioning

confidence: 99%

Development of IoT Health Monitor System using Security Patterns

Aruna¹,

Reddy²,

Sunitha³

2020

IJEAT

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show abstract

“…Further, the literature also showed that there is a need to develop a system that can appropriately recommend human resources at an early stage and predict the time and cost of scrum projects based on historical data. The inappropriate estimate of time and cost profoundly impacts the outcome of software projects [3,35,36,37,38].…”

Section: Literature Reviewmentioning

confidence: 99%

An Intelligent Recommender and Decision Support System (IRDSS) for Effective Management of Software Projects

et al. 2020

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The management and estimation of agile projects are challenging tasks for software companies due to their high failure rates. This paper emphasizes how to improve management and estimation challenges in the context of scrum, which is an agile process widely used for the development of small to medium size software projects. The scrum emphasis on code results in spending inadequate time on the estimation process. Mostly, the scrum master, along with the scrum team, estimates the upcoming software projects based on experience or historical data. Many issues can arise in a case where expert judgment is not available or historical data are not properly organized. In this paper, an Intelligent Recommender and Decision Support System (IRDSS) is proposed that can help the scrum master to better estimate an upcoming software project in terms of cost, time, and recommendations of human resources. Formal specification of IRDSS is also performed using the formalism known as Z language. Furthermore, an experiment on fifteen web projects was performed to validate the proposed approach and compared it with Delphi and Planning Poker estimation methods. The overall results indicate that the proposed system can produce better estimation than Planning Poker and Delphi methods by applying MMRE and PRED evaluation. This research opens new directions for the scrum community for the development of software projects within the allocated time and cost.

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“…Fourth, with the introduction of the HUMP model, the present research has grounded a base for future study of IU and AU of social networking sites. With the technological progress, security issues have also been raised [119]. In technology acceptance models, researchers should explore design and features, like technologies that improve visual and functional control designs for the users.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

User Acceptance of HUMP-Model: The Role of E-Mavenism and Polychronicity

Awais

Samin²,

Gulzar

et al. 2019

IEEE Access

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Social network site usage has grown to be a worldwide trend. These sites facilitate online contact between individuals having similar concerns. The speedy and extensive usage of such sites has affirmed their perception and positioning in the minds of users. This research adds to our consideration by empirically exploring determinants affecting users' acceptance of such sites. A HUMP model has been introduced to evaluate the effect of hedonic (perceived playfulness), utilitarian (perceived usefulness) e-mavenism, polychronicity, and perceived ease of use on the intention to use and thus actual use of social networking sites. The causal modeling technique is used to study the outline of associations amid the projected model constructs and to analytically evaluate the research propositions. All the conjectured factors possess a considerable unswerving sway on the intention to use, with e-mavenism and polychronicity, the robust indicators.

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Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification

Cited by 20 publications

References 21 publications

Development of IoT Health Monitor System using Security Patterns

Development of IoT Health Monitor System using Security Patterns

An Intelligent Recommender and Decision Support System (IRDSS) for Effective Management of Software Projects

User Acceptance of HUMP-Model: The Role of E-Mavenism and Polychronicity

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