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Journal of Intelligent Systems and Internet of Things | 2022

A Novel Glowworm Swarm Optimization Driven Gated Recurrent Unit Enabled Botnet Detection in IIoT Environment

Accurate and prompt detection of security attacks in the Industrial Internet of Things (IIoT) is important to reduce security risks. Since a massive number of IoT devices are placed over the globe and the quantity gets increased, an effective security solution is necessary. A botnet is a computer network comprising numerous hosts executing on standalone software. In this view, this article develops a novel Glowworm Swarm Optimization Driven Gated Recurrent Unit Enabled Botnet Detection (GSOGRU-BD) model in IIoT Environment. The presented GSOGRU-BD model intends to effectually identify the presence of botnet attacks in the IIoT environment. To do so, the GSOGRU-BD model initially pre-processed the input data to get rid of missing values. In addition, the GSOGRU-BD model involves the GRU model for the effective recognition and classification of botnets. Besides, the GSO algorithm is used for optimal hyperparameter tuning of the GRU model. Comparative experimental validation of the GSOGRU-BD model is tested using a benchmark dataset and the results reported the better outcomes for the GSOGRU-BD model. 

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Tarek Gaber mail -
Joseph Bamidele Awotunde mail -
Chin-Shiuh Shieh mail
link https://doi.org/10.54216/JISIoT.060103

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new
Journal of Neutrosophic and Fuzzy Systems | 2022

Properties of Group Neutro-Topological Space

Unlike traditional algebraic structures, where all operations are well-defined and all axioms are completely true, NeutroAlgebras and AntiAlgebras allow operations to be partially well-defined and axioms to be partially true or fully outer-defined, and axioms to be completely false. These NeutroAlgebras and AntiAlgebras represent a new research subject based on real-world examples. Since an empty set is not a subgroup of a group by observing this, the article leads to learning group neutro-topological space. We introduced the notion of a group neutro-topological space and investigated its properties.

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Bhimraj Basumatary mail -
Binod Chandra Tripathy mail
link https://doi.org/10.54216/JNFS.030104

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new
American Journal of Business and Operations Research | 2022

Social Spider Optimization Algorithm with Gradient Boosting Tree Model for Decision Making in Telemarketing Sector

Telemarketing becomes a major tool in enhancing the services of different business sectors. On banking industry, telemarketing is applied to sell products or services. Banking advertisements as well as marketing are majorly based on the detailed information of neutral data related to marketing market and original needs of user for the banks. Decision making becomes an essential part in the telemarketing field that computes a particular class of automated fact in assisting the companies for making decision. Artificial intelligence (AI) is applied for decision making in the telemarketing sector. In this aspect, this paper introduces a social spider optimization (SSOA) with gradient boosting tree (GBT) model for decision making in the telemarketing sector. The main aim of the SSOA-GBT method is to make proper decisions in the telemarketing sectors. To accomplish this, the SSOA-GBT model initially exploits the GBT model for data classification purposes. Next, for improving the performance of the GBT classifier, the SSOA is applied. The performance validation of the SSOA-GBT model is performed using benchmark dataset and the outcomes are investigated in several aspects. The simulation outcomes indicated the better outcomes of the SSOA-GBT approach over the recent approaches. 

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Abd Al-Aziz Hosni El-Bagoury mail -
Sundus Naji AL-Aziz mail -
S.S.ASKAR mail
link https://doi.org/10.54216/AJBOR.070101

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new
American Journal of Business and Operations Research | 2022

An Efficient decision-making model of consensus protocols for blockchains: An exploratory study

In addition to being a game-changer for the cryptocurrency business, Blockchain was also a catalyst for the fast rise of certain Distributed Ledger Technologies (DLTs). An important aspect of a DLT system's design is a consensus mechanism, which ensures that almost all interviewees agreed on the integrity of the data. As a result, a broad variety of consensus protocols have been developed, each with a distinct notion and property (e.g., reduced energy usage, greater scalability). When moving from one blockchain network to another, the main criteria for consensus mechanisms typically vary dramatically, so there is no universal protocol. As a result, choosing the best consensus mechanism for a certain DLT system is critical, but also difficult, since experts must balance competing demands. MCDM approaches are used in this research to provide an approach for choosing the best consensus procedures based on criteria, objectives, and other needs. A genuine bike-rental application is used to show the technology's potential, as well as the preferred consensus mechanisms for 3 of the most popular kinds of current blockchain systems. To top it all off, the information and technologies gathered are openly accessible for anybody to use, allowing for maximum replication and future improvement.

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Irsa Sajjad mail -
Raja Habib mail -
Muhammad Bilal mail
link https://doi.org/10.54216/AJBOR.070102

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new
Journal of Neutrosophic and Fuzzy Systems | 2022

A Note on Basic Proof of Some Famous Mathematical Theorem and Its Illustration

There are several mathematical theorem and other equation which is used frequently. However many researchers or scholar unable to prove them mathematically. One of the famous example is Pythagrous theorem, Budhayana, Pingala, Fibonacci series or even (a+b)2=a2+b2+2ab. It is indeed requirement to understand the basic proof of thiese mathematical theorem and its contradictory. This paper tried to provide some basic proof for these famous theorem and its relations with existing approaches for various applications. 

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Prem Kumar Singh mail
link https://doi.org/10.54216/JNFS.030105

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new
Journal of Intelligent Systems and Internet of Things | 2022

Sustainable Management for the Architectural Heritage in Intelligent Cities using MCDM methods

The success of sustainable management of the heritage building in an intelligent city is a difficult multi-criteria decision-making (MCDM) issue including the coexistence of conflicting elements. There is an issue with incomplete decision information utilization and information loss throughout the decision-making process, and the interaction difficulty in a fuzzy environment is easy to miss. This paper provides a hybrid MCDM framework that combines the spherical fuzzy analytical hierarchy process (SF-AHP). The SF-AHP is used to assess the significance levels of building heritage. To use the stage MCDM model, a thorough set of assessment criteria based on the notion of sustainable development has been identified via literature research and expert interviews. To assess the efficacy of the suggested strategy, an application is done in this paper. Using the decision framework, the building heritage in intelligent cities has been identified. The suggested technique may be utilized to achieve management of the building heritage in intelligent cities.

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Hrudaya Kumar Tripathy mail -
Sunday Adeola Ajagbe mail -
El-Sayed M. El-Kenawy mail
link https://doi.org/10.54216/JISIoT.060104

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new
International Journal of Wireless and Ad Hoc Communication | 2022

Trust Aware Manta Ray Foraging Optimization based Secure Routing Protocol for Wireless Sensor Networks

In Wireless sensor network (WSN) is a different type of ad-hoc network has of battery powered minimum cost sensor node with restricted computation and communication abilities used densely from a target region. The routing in WSN roles is an essential part due to their inherent energy storing ability and is suitable to extremely scalable networks. The trust in WSN roles an essential play in creating the network and addition or deletion of sensor nodes in a network very smooth and translucent. The trust was formalized as a computational method. This study develops a novel Trust Aware Manta Ray Foraging Optimization based Secure Routing (TAMRFO-SR) protocol for WSN. The proposed TAMRFO-SR model accomplishes optimal and secure routes for WSN. In addition, the TAMRFO-SR model is mainly stimulated by the fascinating characteristics of manta rays. Besides, the TAMRFO-SR model derives a fitness function with multiple parameters for secure route selection process. Moreover, the inclusion of trust in the route selection process assists in accomplishing enhanced security. The design of TAMRFO-SR model for secure data transmission depicts the novelty of the study. The experimental validation of the TAMRFO-SR model demonstrates better performance over the other approaches.

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Mohammed. I. Alghamdi mail -
Salwa. H. Alghamdi mail -
Abeer. Y. Salawi mail
link https://doi.org/10.54216/IJWAC.040103

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new
Journal of Cybersecurity and Information Management | 2021

An analytical approach for evaluating sustainable supply chain solutions during the COVID-19 pandemic: Benefits and better explanations

The influence of COVID-19 has been felt in many facets of personal and professional life. As a result of the international economic crisis and the pandemic's consequences, major supply chains (SCs) have been disrupted. Our study intends to examine the effect of COVID-19 on SCs and help organizations choose options depending on their relative relevance. Phase one and phase two of the investigation are the most important. As a first step in strengthening SCs' ability to withstand the pandemic, Phase 2 examines the difficulties, concerns, actions, and solutions that have been encountered so far. As part of this phase, a MARCOS method is proposed to select solutions that address the complex interrelationships that are involved in decision-making. Positive and negative solutions are considered and it is at the start of the creation of a preliminary matrix, utility degree is determined closer to both solutions, a new method of determining utility functions and their aggregates is proposed, and the method is stable enough to take into account a huge list of conditions and alternatives. Using this approach, decision-makers will be able to more properly weigh the relevance and influence of many options before making a final choice. The findings suggest that SCs should continue to rely on innovation to endure potential competition and disasters.

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Mahmoud Ismail mail -
Shereen Zaki mail -
Mahmoud Ibrahim mail
link https://doi.org/10.54216/JCIM.060204

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new
Journal of Intelligent Systems and Internet of Things | 2021

An intelligent model to identify industry 4.0, IoT and circular economy adoption barriers

In the industry 4.0 idea, new cutting-edge techniques like the Internet of Things (IoT) are advocated. There is still a long way to go before IoT is widely adopted in the circular economy. The goal of this research is to identify the most significant impediments to the integration of IoT in the circular economy in the manufacturing industry. For this purpose, survey research was carried out to provide a framework for the assessment of the hurdles to IoT adoption in the circular economy. This led to a new approach that combines the SWARA and TOPSIS methodologies based on MCDM.  The SWARA model is employed to compute the weights of criteria, while the TOPSIS approach is used to rank different manufacturing businesses under the identified obstacles.

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Ahmed Abdelmonem mail -
Shimaa S. Mohamed mail
link https://doi.org/10.54216/JISIoT.040104

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new