A STRIDE Model based Threat Modelling using Unified and-Or Fuzzy Operator for Computer Network Securit

Khan, Salman A.

doi:10.12785/ijcnt/050103

Cited by 10 publications

(5 citation statements)

References 11 publications

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“…Among these operators, the UAO function [49] has some unique features (see Khan and Engelbrecht [49] for details and mathematical properties of the function). Due to the unique characteristics of the UAO function, the function has been employed effectively in many diverse studies [51][52][53][54][55][56][57], Therefore, the UAO function is also used in the underlying study. The prime uniqueness of the UAO function is that it can behave as the "AND" function or the "OR" function.…”

Section: Mathematical Representation Of Decision Rulesmentioning

confidence: 99%

A Novel Fuzzy-Logic-Based Multi-Criteria Metric for Performance Evaluation of Spam Email Detection Algorithms

et al. 2022

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The increasing volume of unsolicited bulk emails has become a major threat to global security. While a significant amount of research has been carried out in terms of proposing new and better algorithms for email spam detection, relatively less attention has been given to evaluation metrics. Some widely used metrics include accuracy, recall, precision, and F-score. This paper proposes a new evaluation metric based on the concepts of fuzzy logic. The proposed metric, termed μO, combines accuracy, recall, and precision into a multi-criteria fuzzy function. Several possible evaluation rules are proposed. As proof of concept, a preliminary empirical analysis of the proposed scheme is carried out using two models, namely BERT (Bidirectional Encoder Representations from Transformers) and LSTM (Long short-term memory) from the domain of deep learning, while utilizing three benchmark datasets. Results indicate that for the Enron and PU datasets, LSTM produces better results of μO, with the values in the range of 0.88 to 0.96, whereas BERT generates better values of μO in the range of 0.94 to 0.96 for Lingspam dataset. Furthermore, extrinsic evaluation confirms the effectiveness of the proposed fuzzy logic metric.

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Section: Mathematical Representation Of Decision Rulesmentioning

confidence: 99%

A Novel Fuzzy-Logic-Based Multi-Criteria Metric for Performance Evaluation of Spam Email Detection Algorithms

et al. 2022

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“…Although each method has its strengths in terms of covering different aspects of the system, the STRIDE threat model presents the best means of describing vulnerabilities and identifying design exploits [36]. Meanwhile, the other three methods focus more on the hazards and risk analysis of the system.…”

Section: Security Analysis and Evaluationmentioning

confidence: 99%

Public Key Reinforced Blockchain Platform for Fog-IoT Network System Administration

Baucas¹,

Petros~Spachos²,

Plataniotis³

2021

Preprint

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The number of embedded devices that connect to a wireless network has been growing for the past decade. This interaction creates a network of Internet of Things (IoT) devices where data travel continuously. With the increase of devices and the need for the network to extend via fog computing, we have fog-based IoT networks. However, with more endpoints introduced to it, the network becomes open to malicious attackers. This work attempts to protect fog-based IoT networks by creating a platform that secures the endpoints through public-key encryption. The servers are allowed to mask the data packets shared within the network. To be able to track all of the encryption processes, we incorporated the use of permissioned blockchains. This technology completes the security layer by providing an immutable and automated data structure to function as a hyper ledger for the network. Each data transaction incorporates a handshake mechanism with the use of a public key pair. This design guarantees that only devices that have proper access through the keys can use the network. Hence, management is made convenient and secure. The implementation of this platform is through a wireless server-client architecture to simulate the data transactions between devices. The conducted qualitative tests provide an in-depth feasibility investigation on the network's levels of security. The results show the validity of the design as a means of fortifying the network against endpoint attacks.

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“…The UAO operator [24] is different and unique in the sense that a single equation is used for both AND and OR functions. Due to this capability of the UAO operator, its use has been reported in many previous studies [38][39][40][41][42][43][44][45][46][47], including simpler versions of the turbine selection problem [22,48]. Therefore, the operator is used in this paper with an improved problem model.…”

Section: Fuzzy Logic Based Turbine Selection Modelmentioning

confidence: 99%

A Rule-Based Fuzzy Logic Methodology for Multi-Criteria Selection of Wind Turbines

2020

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The domain of renewable energy has seen tremendous growth in the past many years. This growth has shown optimism for a sustainable future and promises to lead the human race towards a cleaner and healthier environment. Wind energy, which is a vital part of this clean energy revolution, has received significant attention globally. To get benefit from wind energy, wind farms need to be developed with the highest efficiency so that the maximum energy can be harnessed. A key decision in this development process is selection of a turbine type that shows highest compatibility with the geographical and topographical features of the site where the turbines are to be installed. In practical terms, the turbine selection mechanism should consider several decision criteria. In many cases, these criteria are conflicting with each other. Furthermore, the choice and aspirations of the decision-maker who selects these turbines should be considered in the selection process and should be flexible. This paper presents a preliminary study on a rule-based turbine selection methodology which is based on the concepts of fuzzy logic. The proposed methodology analyzes several scenarios in conjunction with the turbine selection model. The applicability of the methodology is demonstrated via two test scenarios. Data from a real potential site in Saudi Arabia were used, and 17 turbines from different manufacturers and with rated capacities in range of 1.5–3 MW were evaluated. The results indicate that the proposed scheme is able to incorporate decision-maker’s aspirations and effectively reflects these aspirations in the turbine selection process.

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A STRIDE Model based Threat Modelling using Unified and-Or Fuzzy Operator for Computer Network Securit

Cited by 10 publications

References 11 publications

A Novel Fuzzy-Logic-Based Multi-Criteria Metric for Performance Evaluation of Spam Email Detection Algorithms

A Novel Fuzzy-Logic-Based Multi-Criteria Metric for Performance Evaluation of Spam Email Detection Algorithms

Public Key Reinforced Blockchain Platform for Fog-IoT Network System Administration

A Rule-Based Fuzzy Logic Methodology for Multi-Criteria Selection of Wind Turbines

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