Hybrid Neural Networks in Generic Biometric System: A Survey

M. Y.

doi:https://doi.org/10.54216/JAIM.010102

Fusion: Practice and Applications | 2021

Weather Forecasting for Batu Pahat Using Neural Network

Nowadays, weather forecasting plays a vital role in human activities. The complexity of data gathering in the meteorology department and high technical costs lead to inaccurate weather forecasting. Due to minimize this problem, an application using an artificial neural network (ANN) has been developed to forecast weather conditions using the Matlab compiler. This application will help users to define the weather conditions daily well and make early preparation to encounter uncertainty. This application performs in Multilayer Perceptron (MLP) using the back-propagation (BP) algorithm. The data is undergoing training and testing based on actual data obtained from the Malaysian Meteorological Department. The result will show in graph plotting for the training and testing process. Predictive accuracy for each step of stimulation will measure using Mean Square Error (MSE) graph in this application. Therefore, this application will be able to assist the Malaysian Meteorological Department to forecast weather, so our government and people have sufficient time to prepare and solve.

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Chan Weng mail -

Rozaida B. Ghazali mail -

Salama A. Mustafa mail -

A.Noori Kareem mail -

Bashar A. Khalaf mail

link https://doi.org/10.54216/FPA.060204

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2021

On Neutrosophic Fuzzy Ideal Concepts

  The aim of this paper is to introduce and study some new neutrosophic fuzzy pairwise notions via neutrosophic fuzzy ideals. Relationships between the above new neutrosophic fuzzy pairwise notions and their other relevant classes are investigated 

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A. A. Salama mail -

H. A. Elagamy mail

link https://doi.org/10.54216/IJNS.140203

Volume & Issue

Vol. Volume 14 / Iss. Issue 2

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Journal of Cybersecurity and Information Management | 2021

Managing a Secure JSON Web Token Implementation By Handling Cryptographic Key Management for JWT Signature in REST API: : A survey

  JSON Web Token (JWT) is a compact and self-contained mechanism, digitally authenticated and trusted, for transmitting data between various parties. They are mainly used for implementing stateless authentication mechanisms. The Open Authorization (OAuth 2.0) implementations are using JWTs for their access tokens. OAuth 2.0 and JWT are used token frameworks or standards for authorizing access to REST APIs because of their statelessness and the signature implementation. The most important cryptographic algorithms were tested namely a symmetric algorithm HS256 (HMAC with SHA-256) and an asymmetric algorithm RS256 (RSA Signature with SHA-256) used to construct JWT for signing token based on several parameters of the speed of generating tokens, the size of tokens, time data transfer tokens and security of tokens against attacks.In this research,we propose an approach used for handling cryptographic key management for signing RS256 tokens to ensure the security of the application's architecture. JWT offer a variety of options to manage keys, the server always needs to verify the validity of the key before trusting it for verify that a JWT implementation is secure.The experimental results show It's better to use the RS256 signature method for handling cryptographic key management for signing tokens to manage a secure JWT Implementation

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Nihal Salah mail

link https://doi.org/10.54216/JCIM.060101

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science |

Bipolar neutrosophic soft generalized pre-continuous mappings

In this study, a new class of continuous mappings in bipolar neutrosophic soft topological space, namely bipolar neutrosophic soft continuous mappings and bipolar neutrosophic soft generalized pre-continuous mappings were investigated. Further, some of their relations with other mappings were discussed with examples.

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ArulpandyP mail -

Trinita PricillaM mail

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Volume & Issue

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Fusion: Practice and Applications | 2022

Mobile Cloud Database Security: Problems and Solutions

The rise in mobile Internet usage and increased reliance on cloud computing have led to increased fear of cloud database security. Mobile cloud computing has emerged as the only promising way of providing solutions for the mobile computing environment, including computation offloading and data binding. This paper discusses the overview of mobile cloud computing features and its prone computing security issues and how to walk over them with the most promising solutions. More specifically, it explores in detail a wide range of threats that may attack the mobile cloud-computing platform and the various devices and applications that work extremely well in supporting and mitigating the wide range of problems related to security issues in mobile applications. Moreover, this paper studies some of the ways to make mobile cloud computing more secure and productive no matter the intensity of the required computation. This study takes into consideration, the most common threats that affect the security issues of the mobile cloud database and its solutions. It is deemed necessary to note that, the duty of various cloud service providers is to keep all mobile cloud data safe. Consequently, they must come up with solutions to the problems affecting the day-to-day mobile-cloud database security.

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Mahmoud Ismail mail -

Naif El-Rashidy mail -

Nabil M. Abdel-aziz mail

link https://doi.org/10.54216/FPA.070102

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2025

Predictive Modeling of Financial Crisis Using Advanced Classification Models Powered by Neutrosophic Fusion of Rough Set Theory

Neutrosophic set (NS) and logic are powerful mathematical approaches for managing different uncertainties. Amongst different approaches for examining NS statistics, rough set theory (RST) offers a valuable instrument in the domain of NS statistics, and masses of researchers have been motivated by NS combination of RST. Recently, there have been no wide-ranging statistics and literature reviews of the universal RST and its applications. The Financial Crisis Prediction mechanism leverages cutting-edge computation methods to predict possible disruptions or economic downturns. By investigating past fiscal information, marketplace gauges, and macroeconomic features, the typical recognizes primary caution indications of imminent disasters. This practical method helps financial institutions, policymakers, and investors in applying pre-emptive procedures to alleviate fiscal marketplaces and threats. In this paper, we develop a Financial Crisis Prediction Model using Neutrosophic Fusion of Rough Set Theory (FCPM-NFRST) methodology. The suggested FCPM-NFRST method for financial crises incorporates numerous forward-thinking systems to improve predictive performance. It is initiated by the Firefly Algorithm (FFA) based feature selection to detect the fittest fiscal gauges. Consequently, the Neutrosophic Fusion of RST (NFRST) is exploited for strong cataloguing and successful management of vagueness and roughness in economic information. Lastly, the Whale Optimization Algorithm (WOA) is exploited for parameter fine-tuning, enhancing the system's accuracy. Investigational study displays that the FCPM-NFRST ensemble mechanism is more robust and superior than its complements. Accordingly, this study powerfully suggests that the suggested FCPM-NFRST method is very competitive than conventional and other existing algorithms.

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Elvir Akhmetshin mail -

Ilyos Abdullayev mail -

Hafis Hajiyev mail -

Emil Hajiyev mail

link https://doi.org/10.54216/IJNS.250211

Volume & Issue

Vol. Volume 25 / Iss. Issue 2

Details open_in_new

International Journal of BIM and Engineering Science | 2022

BIM-based Sakeholder Information Exchange (IE) During the Planning Phase in Smart Construction Megaprojects (SCMPs)

Purpose – Information plays a significant role in managing construction projects. The architecture, engineering and construction (AEC) industry encounter a massive information exchange (IE) challenge. This study aims to develop a BIM-based stakeholder information exchange (IE) workflow scheme during the planning phase in smart construction megaprojects (SCMPs) that faces a massive IE challenge, especially during the COVID-19 pandemic. Design/methodology/approach – To accomplish the above stated goal, a research approach including a literature analysis, case studies, and survey questions was developed. Based on the aforementioned, the study created a BIM-based IE workflow to simplify the implementation of IM in SCMPs. Findings – This study has yielded an extensive insight into the types of information exchange, difficulties, and ways to its hand over. In the context of CMPs, The research conceptualised BIM&SM synergy and proposed IE Workflow strategy during the planning phase in MCPs. However, IE needs to be planned from the beginning of the process, agreed upon between different parties, tested, and verified. Research limitations – The scope of this research is limited to the SCMPs during the planning phase. Practical implications – This study contributes to the developing body of knowledge addressing the application of BIM& IE synergy during the planning phase in SCMPs. The outcomes of this research will be beneficial for clients, contractors, and project managers, when taking into account in future plans. Originality/value – This study provides contributes to understanding information flow during the project planning phase and how to control it properly. Generally, the deliverables of this study could be utilized by professionals engageded in BIM and SM practices on SCMPs to enlightens and enhance information exchange and the utilization of the produced information throughout the entire process.

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Ayman Mashali mail -

Ahmed El tantawi mail

link https://doi.org/10.54216/IJBES.050101

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2022

Submitting BIM to the Educational Plan for the Faculty of Architecture According to NARS and ARS Standards

Building Information Modeling (BIM) has imposed itself as a powerful engineering and technological tool over time. It's even become mandatory in some countries (UK) and is gradually gaining more and more awareness worldwide. Although that, BIM education is still a new concept even in some countries that are already implementing it in their various engineering and construction projects. This research aims to conclude with an educational plan and curricula for the faculty of architecture that contains BIM as the core of it. The methodology used in this research is the online-structured questionnaire, distributed to students and staff of the faculty of architecture at Al-Baath University which is the case study of this research. Architecture faculty undergraduates and graduates with different degrees were surveyed by an online-structured questionnaire, and the results of the questionnaire were gathered and analyzed using google forms. This study concludes with the proposed modified plan and curricula for the previously mentioned faculty in the light of the theoretical study, questionnaire results, and similar experiences around the world. This new plan is expected to prepare a new generation of architects who are High-tech qualified and fully aware of BIM and its general ideas, which makes it easier for these architects to emerge within the job market and fulfill AEC firms' requirements of course this would also help to promote the university's reputation and help to spread BIM education among other local universities and also to other engineering competencies.

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Eisa Al Hammoud mail -

Sonia Ahmed mail

link https://doi.org/10.54216/IJBES.050102

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new

Journal of Cybersecurity and Information Management |

Re-Evaluating the Necessity of Third Party Antivirus Software on Windows Operating System

There is a general assumption that one must purchase costly antivirus software products to defend one’s computer system. However, if one is using the Windows Operating System, the question that arises is whether one needs to purchase antivirus software or not. The Windows operating system has a market share of 31.15% behind Android with a market share of 41.56% worldwide amongst all the operating systems. This makes Windows a prime target for hacking due to its large user base. Windows 11 a recent upgrade to the Windows operating system has claimed to have taken its security to the next level. There is a need to evaluate the capability of the Windows 11 default security against antivirus evasion tools. This research investigated the capability of Windows 11 default security by evaluating it against 6 free and open source antivirus evasion tools: TheFatRat, Venom, Paygen, Defeat Defender, Inflate and Defender Disabler. The criteria for the selection of the antivirus evasion tools were free and open source and recently updated. A research lab was set up using Oracle VirtualBox where two guest machines were installed: a Windows 11 victim machine and the Kali Linux attacking machine. The antivirus evasion tools were installed on the Kali Linux machine one at a time to generate a malware and pass it to the victim machine. Apache web server was used in holding the malicious sample for the Windows 11 victim machine to download. A score of 2 is awarded to an antivirus evasion tool if it successfully evades the Windows 11 security and creates a reverse connection with the attacking machine. From the research results: TheFatRat has a 25% evasion score, Venom has 20% while the rest have a 0% evasion score. None of the payloads generated with the antivirus evasion tools was able to create a connection with the Kali Linux attacking machine. The research result implies that the default Windows 11 security is good enough to stand on its own. A third party antivirus solution will only supplement the already good protection capability of Windows 11.

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Journal of Artificial Intelligence and Metaheuristics | 2022

Hybrid Neural Networks in Generic Biometric System: A Survey

There are numerous definitions of hybrid systems that vary from one another in terms of the methods suggested. In general, hybrid systems can be characterised as combining two or more distinct approaches to create a fusion system that depends on the merged approaches. Sequential, auxiliary, and embedded hybrid systems are different types of hybrid systems. In general, in order to use biometrics, there must be a way to record the chosen distinguishing attribute. Preprocessing is then utilised to enhance the input. Then, for processing and storage, the most distinguishing features are extracted, encoded, and added to a suitable representation template. By comparing query inputs to templates that have been stored, it is possible to identify the subject under examination. Biometric systems have been employed by numerous industries.

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M. Y. Shams mail

link https://doi.org/10.54216/JAIM.010102

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new