Dependability Attributes for Increased Security in Component-Based Software Development

Kahtan, Hasan; Bakar, Nordin Abu; Nordin, Rosmawati

doi:10.3844/jcssp.2014.1298.1306

Cited by 7 publications

(5 citation statements)

References 52 publications

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“…These simulations could be improved. Babuska and Verbruggen (1996;Chandramohan and Kamalakkannan, 2014;Hussein and Nordin, 2014;Kareem, et al, 2014;Kahtan et al, 2014;Sridharan and Chitra, 2014) mentioned that modeling of complex systems will always remain an interactive approach. Thus, future study could consider the usage of other software packages or programming languages and incorporate graphic interface.…”

Section: Resultsmentioning

confidence: 99%

Estimated and Analysis of the Relationship Between the Endogenous and Exogenous Variables Using Fuzzy Semi-Parametric Sample Selection Model

MuhamadSafiih¹,

Kamil²,

Osman³

2014

American Journal of Applied Sciences

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An important progress within the last decade in the development of the selectivity model approach to overcome the inconsistent results if the distributional assumptions of the errors terms are made this problem is through the use of semi-parametric method. However, the uncertainties and ambiguities exist in the models, particularly the relationship between the endogenous and exogenous variables. A new framework of the relationship between the endogenous and exogenous variables of semi-parametric sample selection model using the concept of fuzzy modelling is introduced. Through this approach, a flexible fuzzy concept hybrid with the semi-parametric sample selection models known as Fuzzy Semi-Parametric Sample Selection Model (FSPSSM). The elements of vagueness and uncertainty in the models are represented in the model construction, as a way of increasing the available information to produce a more accurate model. This led to the development of the convergence theorem presented in the form of triangular fuzzy numbers to be used in the model. Besides that, proofs of the theorems are presented. An algorithm using the concept of fuzzy modelling is developed. The effectiveness of the estimators for this model is investigated. Monte Carlo simulation revealed that consistency depends on bandwidth parameter. When bandwidth parameters, c are increased from 0.1, 0.5, 0.75 and 1 as the numbers of N increased (from 100 to 200 and increased to 500), the values of mean approaches (closed to) the real parameter. Through the bandwidth parameter also reveals that the estimated parameter is efficient, i.e., the S.D, MSE and RMSE values become smaller as N increased. In particular, the estimated parameter becomes consistent and efficient as the bandwidth parameters approaches to infinity, c→∞ as the number of observations, n tend to infinity, n→∞.

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Section: Resultsmentioning

confidence: 99%

Estimated and Analysis of the Relationship Between the Endogenous and Exogenous Variables Using Fuzzy Semi-Parametric Sample Selection Model

MuhamadSafiih¹,

Kamil²,

Osman³

2014

American Journal of Applied Sciences

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“…To adopt evidence-based practical and theoretical perspectives, researchers, especially in the penetration testing domain, rely on solid empirical evidence that reports methodologies, frameworks, models, and practices. Systematic literature review (SLR) is one of the most suitable methods to encourage evidence-based security practices [93][94][95][96][97][98]. Researchers followed the SLR rules proposed by Kitchenham & Charters [56] and Keele & Bell [99].…”

Section: -3-research Methodologymentioning

confidence: 99%

Overview on Case Study Penetration Testing Models Evaluation

2023

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Model evaluation is a cornerstone of scientific research as it represents the findings' accuracy and model performance. A case study is commonly used in evaluating software engineering models. Due to criticism in terms of generalization from a single case study and testers, deciding on the number of case studies used for evaluation and the number of testers has been one of the researchers’ challenges. Multiple case studies with multiple testers can be difficult in some domains, such as penetration testing, due to the complexity and time needed to prepare test cases. This study aims to review the literature and examine the evaluation methods used pertaining to the number of case studies and testers involved. This study is beneficial for researchers, students, and penetration testers as it provides case study design steps that are useful to determine the appropriate number of test cases and testers required. The paper's findings and novelty highlight that a single case study with a single tester is enough to evaluate a model. It also strikes a balance between what is enough for the evaluation and the need to reduce criticisms of a single case study by using two case studies with a single tester. Doi: 10.28991/ESJ-2023-07-03-025 Full Text: PDF

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“…Moreover, the massive volumes of data contain a lot of distortion, which makes data analysis difficult. Current methodologies lack the level of resilience necessary, necessitating the implementation of novel data analytics techniques and software tools [78,[95][96][97][98][99][100]. On the other hand, appropriate visual techniques must be developed in order to acquire meaningful insights into the data collected.…”

Section: B Rq5: Challenges and Future Directions Of Iot In E-mentioning

confidence: 99%

Investigating Internet of Things Impact on e-Learning System: An Overview

Elneel¹,

Kahtan²,

Fakharudin³

et al. 2023

IJACSA

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Learning systems have reached their peak with the revolution of smart technologies. In the past few years, the Internet of Things (IoT) has become one of the most advanced and popular technologies, affecting many different areas. Using IoT in an e-learning system is a fantastic technology that improves the e-learning system and makes it more inventive and cutting-edge. The key challenge addressed in this study is the acceptance of IoT usage in e-learning systems as well as how to improve it so that it can be utilized properly. This research concentrates on how IoT can benefit e-learning systems and how it might benefit users of e-learning systems. A comprehensive literature review was conducted to get acquainted with the important research related to IoT technology and e-learning systems through online research databases and reliable scientific journals. The first research finding is that e-learning systems need such modern techniques as IoT to enable interconnection, increase reliability, and enhance the enjoyment of the educational process. The second result is that research related to the development of new technologies like the IoT has a significant impact on enhancing the performance of new systems and bringing about positive change. This study highlights the value of IoT, particularly in e-learning systems. It aids in the development of new strategies that will improve the efficacy of e-learning systems and stimulate researchers to develop advanced technology.

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Dependability Attributes for Increased Security in Component-Based Software Development

Cited by 7 publications

References 52 publications

Estimated and Analysis of the Relationship Between the Endogenous and Exogenous Variables Using Fuzzy Semi-Parametric Sample Selection Model

Estimated and Analysis of the Relationship Between the Endogenous and Exogenous Variables Using Fuzzy Semi-Parametric Sample Selection Model

Overview on Case Study Penetration Testing Models Evaluation

Investigating Internet of Things Impact on e-Learning System: An Overview

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