This paper presents a comprehensive survey of security needs, applications, and current challenges and threats for 6G wireless communication networks. 6G technology has brought much attention to... Show More

This paper presents a comprehensive survey of security needs, applications, and current challenges and threats for 6G wireless communication networks. 6G technology has brought much attention to business entities and academia recently. The development of a relevant 6G wireless technology to meet the security issues and technical challenges of 5G networks as well as major system upgrades over previous wireless technologies are discussed. The importance of the comparative study is estimated for security issues and communication of devices like wireless devices and focuses on creative innovations that would offer the progression changes required for empowering 6G. First, the authors present the evolution and security threats landscape of wireless communication networks. Then they explore the potential applications of 6G networking technologies. Finally, this paper concludes with a detailed discussion of security issues, research challenges, and possible solutions in 6G that enable critical technologies.

In the current scenario, the economic status of countries is dependent on stock markets. However, predicting the future prices of any stock is a multifaceted task, as the nature of data is complex... Show More

In the current scenario, the economic status of countries is dependent on stock markets. However, predicting the future prices of any stock is a multifaceted task, as the nature of data is complex and unstructured in nature, which is difficult understand. The focus of the study relies on applying deep neural techniques with regression-based application to discover knowledge from financial databases. The authors have applied LSTM, an advanced version of RNN, and regression-based methods such as ARIMA for predicting future prices of stocks. The study was supported by implementing the techniques on real-world data that was captured from SBI for 6 years. The data has significant opening and closing prices of stock markets. To implement the current study approach, the authors have utilized Python language, where result predicts various performance parameters such as MAE, MSE, RMSE, and bias for both LSTM as well as ARIMA. The performance matrix of LSTM and ARIMA were compared for MAE (mean absolute error) for LSTM, which is 4.32, whereas for ARIMA is 3.83. Also, MSE (mean squared error) value for LSTM is 29.52, for ARIMA was 24.53, and RMSE (root mean squared error) for LSTM and ARIMA are 5.43 and 4.95. The overall accuracy of both of the algorithm were widely applied for real-world prediction among the stock market analysis.

The purpose of this study is to assess the effect of strategic planning and constant innovation strategies on the performance of firms in the telecommunication industry. The study used a... Show More

The purpose of this study is to assess the effect of strategic planning and constant innovation strategies on the performance of firms in the telecommunication industry. The study used a quantitative method and cross-sectional survey design with a purposive sampling technique to collect data from the offices of Mobile Telecommunication Networks in Ghana (MTN). The findings indicate strategic planning practices of the telecommunication industry had a significant positive relationship with performance. However, the innovation practices were found to have no significant influence on performance. The study findings reveal that the players in the MTN industry who focus more on strategic planning initiatives receive high performance. The outcome of the study findings indicates the need for the telecommunication industry to focus more attention on strategic planning to enhance performance. The paper provides the pathways to policy makers in the telecommunication industry to communicate effectively with their staff about strategic and innovation decisions to ensure efficiency in performance.

This work aims to analyze insights from social networks for identification of population satisfaction with pay level in Russia using the text mining approach. For this, a sentiment analysis... Show More

This work aims to analyze insights from social networks for identification of population satisfaction with pay level in Russia using the text mining approach. For this, a sentiment analysis framework was developed, which integrates Twitter mining tools and a sentiment index. Sentiments were extracted using Twitter mining and then recoded and substituted into the sentiment formula. The results of sentiment analysis indicate low satisfaction with levels of pay among Russians. Twitter was chosen as the object of research, as one of the most active and independent networks in Russia. It is possible that some of the tweets belong to authors who are not living in Russia at the moment, but their number is not significant and their interest in this issue, in the authors' opinion, only enhances the relevance of the problem under study.

The accelerated cyberattacks presents a severe challenge to the companies, as they seem unprepared to confront the threat of cyberattacks, they will suffer enormous losses and have their performance... Show More

The accelerated cyberattacks presents a severe challenge to the companies, as they seem unprepared to confront the threat of cyberattacks, they will suffer enormous losses and have their performance suffer as a result. To better serve its population and communities, Kuwait will have improved and updated its national infrastructure by 2035. This study examines how the governmental top management support, cyber security readiness, and technology readiness affect employee's organizational security adoption intentions in Kuwait governmental organizations and realization of its benefits. The quantitative method was employed in this work. The study found that top management support influencing organizational security performance mediating by cyber security readiness and technology, which affects the tangible and intangible benefits. This study can help policy makers in governmental organizations to improve cyber security adoption. The findings of this study may be utilized for enhancing the sustainability of cyber security in governmental organizations in Kuwait.

Homomorphic encryption provides a way to operate on the encrypted data so that the users can be given with the maximum feasible privacy. Homomorphic encryption is a special kind of encryption... Show More

Homomorphic encryption provides a way to operate on the encrypted data so that the users can be given with the maximum feasible privacy. Homomorphic encryption is a special kind of encryption mechanism that can resolve security and privacy issues with rich text. Research gap is the performance overhead associated with this which poses a barrier to the real time implementation of this scheme. The objective of this work is to implement an algorithm to achieve increased performance and faster execution when compared with a classical cryptographical algorithm, the Paillier Cryptographical Algorithm, which is predominantly used to achieve additive homomorphism and analyse the performance gain obtained by this algorithm. The same algorithm is also integrated into an encrypted database application, CryptDB, developed by the MIT, as a replacement to the Paillier algorithm used in the application. The derived algorithms are 2600 time faster in key generation, 5 lakh times faster in encryption, and 3500 times faster in decryption, when compared with the Paillier algorithm.

Consensus mechanisms are fundamental to blockchain technology, ensuring network integrity and the orderly progression of transactions. However, the predominant proof of work method, while widely... Show More

Consensus mechanisms are fundamental to blockchain technology, ensuring network integrity and the orderly progression of transactions. However, the predominant proof of work method, while widely adopted, has raised concerns regarding its energy-intensive nature and lack of scalability. In response, this research explores alternative consensus methods tailored to participants' engagement in blockchain storage activities. We conducted a comprehensive review of existing approaches, examining their reusability and efficacy. Concurrently, we observed a growing demand for distributed storage solutions driven by escalating data volumes. Our investigation identified areas for improvement in existing storage blockchains, motivating the development of our own system, BlockStock. This protocol, meticulously designed, aims to enhance intelligent data storage management reliably and robustly. Through rigorous performance evaluations, including assessments of power consumption, throughput, and data transfer times, BlockStock demonstrates superior efficacy and cost-effectiveness. These findings underscore its significance as a notable advancement in blockchain-based storage solutions, offering a promising avenue for future research and application.

Speedy scientific and technological growths, particularly in the area of information and communication technology (ICT), are generating novel conditions in learning and it imposes a transformation... Show More

Speedy scientific and technological growths, particularly in the area of information and communication technology (ICT), are generating novel conditions in learning and it imposes a transformation in a modernized society. ICT is helpful in converting varied sectors like banking, transportation, education, manufacturing, health, employment, and so on. Its amalgamation with the learning system has brought up an innovative renovation by offering a flexible environment of education. This survey makes a critical analysis of about 65 papers regarding the impact of ICT on undergraduate students. More particularly, varied performance measures that are contributed in diverse articles are analyzed. In addition, a comprehensive study is made regarding the maximal performances in each contribution. Lastly, the survey extends with the determination of varied research challenges, which might be productive for the analysts to endorse enhanced upcoming works on the impact of ICT among undergraduate students.