New approach towards (ζ1, ζ2)-interval valued Q1 neutrosophic subbisemirings of bisemirings and its extension

M.; Aiyared; K.; D.; A.; R.

doi:https://doi.org/10.54216/IJNS.200104

International Journal of Wireless and Ad Hoc Communication | 2023

Spam Detection in Connected Networks Using Particle Swarm and Genetic Algorithm Optimization: Youtube as a Case study

Although there are many networks security tools, both wire and wireless connected networks are still suffering from many types of attacks. YouTube's meteoric rise to prominence as a social platform speaks for itself. The sheer volume of comments on YouTube has made it an ideal medium for spammers to spread their malicious software. Phishing attacks, in which anyone who clicks on a bad link might be a victim, have contributed to this problem. Classification systems may be used to examine spam for its unique characteristics and identify it. This is why it is suggested that YouTube already has built-in mechanisms for identifying spam. A YouTube Spam detection framework was designed with the five stages of data collection, pre-processing, features extraction, classification, and detection, allowing for the execution of the tests. To analyze and validate each stage of the YouTube detection methodology presented in this study, two metaheuristic optimization methods are employed to optimize the parameters of a new voting ensemble classifier. These methods are the particle swarm optimization (PSO) and the Genetic Algorithm (GA). The ensemble model is based on three classifiers: neural. Results indicate that the proposed approach is accurate. In addition, statistical analysis is performed to emphasize the superiority and effectiveness of the proposed methodology.

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Amel Ali Alhussan mail -

Hassan K. Ibrahim Al-Mahdawi mail -

Ammar Kadi mail

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

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

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International Journal of Wireless and Ad Hoc Communication | 2023

Natural Disaster Detection for Smart IoT Communication using LoRA model

There is annual financial loss, mental pain, bodily injury, and loss of life due to natural and artificial disasters. Unfortunately, natural disasters are becoming much deadlier due to climate change. Consequently, IoT-based catastrophe detection and response systems have been developed to improve the handling of catastrophic disasters and other times of extreme urgency. As a consequence, information gathered from Internet-connected devices is utilized to aid in the categorization of several types of disasters, both natural and artificial. A determination of the nature of the crisis and notification of the relevant command center is accomplished using preexisting methods. We have shown how to modify an existing system into a particular early warning system for natural disasters using two Internet of Things (IoT) devices: the Arduino Uno and the Nodemcu. Using this data, we can pinpoint the exact position of every person whose phone is within range of the disaster and send them warnings before the situation worsens. The botmasters have shifted their paradigm away from IRC and toward an HTTP-based C&C server due to the widespread use of HTTP services. Like HTTP bots, IRC bots have a single point of failure. HTTP bots, however, are harder to stop. It is also challenging to detect HTTP botnets while keeping the false positive rate low since every service on the Internet utilizes the HTTP protocol. This chapter provides a host-based HTTP botnet detection approach that uses Hidden semi-Markov Model (HsMM) variables and the Simple Network Management Protocol-Management Information Base (SNMP-MIB). The device operates following the specifications established by the LoRa network. In this project, we used a device called Nodemcu, which was made to be configured explicitly on the receiving end to identify the users at the place where the catastrophe was detected. At that point, everyone connected to the gadget would receive a geolocation-based alert. MQTT is used to notify the right people when an issue arises. We saw better and more beneficial results from the IoT project after including LoRa.

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Piyush Kumar Shukla mail

link https://doi.org/10.54216/IJWAC.060102

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

International Journal of Wireless and Ad Hoc Communication | 2023

Improving the perfoamnce of Fog-assisted Internet of Things Networks using Bipolar Trapezoidal Neutrosophic sets

Large numbers of devices with varying hardware capabilities and data traffic patterns make up what we call the Internet of Things (IoT). Furthermore, various IoT services, like knowledge economy, e-health, e-business, parking management, etc., display dynamically varying QoS (Quality of Service) needs inside the IoT network. As a consequence of the inconsistency in service delivery, it is difficult to attain spectrum efficiency in the Internet of Things (IoT). There will be a shortage of spectrum for critical IoT services as a result. In this study, we suggest using a Multi-Criteria Decision Making (MCDM) technique to coordinate spectrum sharing across IoT devices. To ensure that the capacity and quality-of-service requirements of IoT devices are met, this framework prioritizes the accessible spectrum bands based on their numerous spectral properties. When all relevant information for reaching a choice is supplied by decision-makers, as is the case in both the trapezoidal and bipolar neutrosophic environments, this research presents a novel, effective approach to tackling these challenges. Conceptually related, the bipolar trapezoidal neutrosophic set's governing principles and rules of operation are laid forth. We cover several important accumulation operations for accumulating bipolar trapezoidal neutrosophic data. The ARAS technique is combined with the bipolar trapezoidal neutrosophic sets to compute the weights of principles and rank the substitutions.

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Abedallah abualkishik mail -

Rasha Almajed mail -

Watson Thompson mail

link https://doi.org/10.54216/IJWAC.060103

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

International Journal of Wireless and Ad Hoc Communication | 2023

Generative Edge Intelligence for Securing IoT-assisted Smart Grid against Cyber-Threats

The critical dependence of industrial smart grid systems on cutting-edge Internet of Things (IoT) technologies has made these systems more susceptible to a diverse array of assaults. This consequently puts at risk the integrity of energy data as well as the safety of energy management activities that depend on those data. This study offers a generative federated learning framework for semi-supervised threat detection in an IoT-assisted smart grid system. We refer to this framework as FSEI-Net. A unique semi-supervised edge intelligence network (SEI-Net) is presented in the FSEI-Net to enable semi-supervised training using labeled and unlabeled data in the edge tier. The design of SEI-Net is based on with bidirectional generative convolutional network that can intelligently capture the patterns of threat data from partially labeled smart grid data.  We present federated training to enable remote edge servers to work together on training a semi-supervised detector without disclosing their own private local data. This is accomplished through cooperative training. To facilitate communication between cloud and edge layers that is both secure and respectful of users' privacy, a reputation-based block chain is introduced in the FSEI-Net. The outcomes from the practical applications demonstrate that the effectiveness of the proposed FSEI-Net over the most recent cutting-edge detection approaches are valid

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Gopal Chaudhary mail -

Smriti Srivastava mail -

Manju Khari mail

link https://doi.org/10.54216/IJWAC.060104

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

International Journal of Wireless and Ad Hoc Communication | 2023

Trustworthy Federated Graph Learning Framework for Wireless Internet of Things

As computational power has increased rapidly in recent years, deep learning techniques have found widespread use in wireless internet of things (IoT) networks, where they have shown remarkable results. In order to make the most of the data contained in graphs and their surrounding contexts, graph intelligence has seen extensive use in a wide variety of tailored wireless applications. However, the sensitive nature of client data poses serious challenges to conventional customization approaches, which depend on centralized graph learning on globe graphs. In this work, we introduce federated graph learning, dubbed FGL, that is capable of producing accurate personalization while still protecting clients' anonymity. To train graph intelligence models jointly based on distributed graphs inferred from local data, we employ a trustworthy model updating technique. In order to make use of graph knowledge beyond the scope of dynamic interplay, we present a trustworthy graph extension mechanism for incorporating high-level knowledge while yet maintaining confidentiality. Six customization datasets were used to show that with excellent trustworthy protection, FGL achieves 2.0% to 5.0% lower errors than the state-of-the-art federated customization approaches. For ethical and insightful personalization, FGL offers a potential path forward for mining distributed graph data.

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Abedallah Z. Abualkishik mail -

Rasha Almajed mail -

William Thompson mail

link https://doi.org/10.54216/IJWAC.060105

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

American Journal of Business and Operations Research | 2022

Job satisfaction and its impact on the performance of employees in the Ministry of Finance in the Red Sea State

The study aimed to identify the effect of job satisfaction on the performance of employees in the Ministry of Finance in the Red Sea State, Sudan. The study relied on the descriptive analytical approach. The study was applied to a random sample of employees in the Ministry of Finance in the Red Sea State, Sudan, and the sample size was (158) male and female employees. The results of the study showed that the level of job satisfaction and the performance level of employees in the Ministry of Finance is medium. There was no statistically significant difference in the responses of the study sample members regarding job satisfaction and the performance of ministry employees due to personal variables. The results also showed an impact of the dimensions of job satisfaction (salaries and incentives, job stability, and working conditions) on the performance of employees in the Red Sea State's Ministry of Finance. The study reached several recommendations, the most important of which was working to raise the level of job satisfaction in the Ministry of Finance in the Red Sea State.

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Abdalla A. A. Mohammed mail

link https://doi.org/10.54216/AJBOR.080103

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

Plıthogenıc Combıned Dısjoınt Block Fuzzy Cognıtıve Maps (Pcdbfcm)

This research article represents an innovative concept in Plithogenic Combined Disjoint Block Fuzzy Cognitive Maps (PCDBFCM) and its applications. PCDBFCM is a very useful tool in grouping the factors with contradiction degree of multiple attributes. A plithogenic fuzzy matrix is used to represent the connection matrix. The resultant vector is obtained while using plithogenic fuzzy operators. The produced results are very useful in making decisions since they include the degree of conceptual node contradiction with respect to the dominant node. For the plithogenic aggregation operators, the degree of dissimilarity between each attribute value and the main attribute value of the attribute leads to increased accuracy.

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S. Gomathy mail -

A. Rajkumar mail -

D.Nagarajan mail -

broumi said mail

link https://doi.org/10.54216/IJNS.200101

Volume & Issue

Vol. Volume 20 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

New Operators Using Neutrosophic Crisp Open Set

In this paper, we introduce new sets  in neutrosophic crisp topology called neutrosophic crisp frontier, neutrosophic crisp border and neutrosophic crisp exterior with the help of neutrosophic crisp open sets in neutrosophic crisp topological space. Also, we discuss the basic and important properties of them and the relations between them. Finally, many examples are presented. 

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Riad K. Al-Hamido mail

link https://doi.org/10.54216/IJNS.200102

Volume & Issue

Vol. Volume 20 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

Neutrosophic Number Sequences: An introductory Study

In this paper, Neutrosophic definitions and properties of some special number sequences which are frequently found in the science literature, called Neutrosophic Number Sequences (NNSq) via Horadam sequence are studied for the first time. Especially for Neutrosophic Fibonacci (NFNq) and Neutrosophic Lucas (NLNq) number sequences, fundamental properties and identities such as Ruggles, Honsberger, Cassini, Catalan, d’Ocagne, and Tagiuri are given. In addition, Neutrosophic definitions of the sequences of Pell (NPNq), Pell-Lucas (NPLNq), Jacobsthal (NJNq), Jacobsthal-Lucas (NJLNq), Mersenne (NMNq), Mersenne-Lucas (NMLNq), Balancing (NBNq), and Lucas-Balancing (NLBNq) numbers are introduced. Besides defining these numbers and their sequences, since fuzzy and intuitionistic fuzzy sets are restrictions of neutrosophic sets, sequences of numbers within these sets are naturally and indirectly revealed.

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Hasan Gökbas mail -

Selçuk Topal mail -

Florentin Smarandache mail

link https://doi.org/10.54216/IJNS.200103

Volume & Issue

Vol. Volume 20 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2023

New approach towards (ζ1, ζ2)-interval valued Q1 neutrosophic subbisemirings of bisemirings and its extension

We introduce the notions of (τ1, τ2)-interval valued Q1 neutrosophic subbisemirings (IVQ1NSBSs), level sets of a (τ1, τ2)-IVQ1NSBS, and (τ1, τ2)-interval valued Q1 neutrosophic normal subbisemirings ((τ1, τ2)- IVQ1NNSBS) of a bisemiring. Let cZ1 be a (τ1, τ2)-IVQ1NSBS of a bisemiring M and bV be the strongest (τ1, τ2)-interval valued Q1 neutrosophic relation of M. To illustrate cZ1 is a (τ1, τ2)-IVQ1NSBS of M if and only if bV is a (τ1, τ2)-IVQ1NSBS of M ⋇ M. We show that homomorphic image of (τ1, τ2)-IVQ1NSBS is again a (τ1, τ2)-IVQ1NSBS. To determine homomorphic pre-image of (τ1, τ2)-IVQ1NSBS is also a (τ1, τ2)- IVQ1NSBS. Examples are given to strengthen our results.

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M. Palanikumar mail -

Aiyared Iampan mail -

K. Arulmozhi mail -

D. Iranian mail -

A. Seethalakshmy mail -

R. Raghavendran mail

link https://doi.org/10.54216/IJNS.200104

Volume & Issue

Vol. Volume 20 / Iss. Issue 1

Details open_in_new