The outbreak of the Covid-19 pandemic and the introduction of Society 5.0 by the Japanese government in 2019 have resulted in significant changes to consumer behavior. The aim of this research is to examine the impacts of consumption value on customers' behavioral shifts. Furthermore, quantitative methods were used with a sample of 344 respondents, and data analysis using the structural equation model with the Lisrel 8.72 application. The stages in the structural equation analysis of this model are: development of theoretical models, development of path diagrams, conversion of path diagrams to structural equations, selecting input matrices and types of estimates, identifying models, assessing goodness of fit criteria, and interpreting results. The results obtained showed that consumers' attitudes and habits toward utilizing meal delivery applications can be influenced by factors such as their social, conditional, emotional, epistemic, and functional values. In the use of food delivery applications, consumers are not only interested in tangible benefits, but also in less tangible benefits, such as information provided by businesses.

The aim of this study was to examine and determine the impact of electronic banking services on the use of technology by customers of conventional and Islamic banks in Jordan. For the current study, a random sample of 580 customers in Jordanian conventional and Islamic banks was selected using the quantitative research methodology, and in order to gather the necessary data, the study employed a survey questionnaire instrument that was developed based on the earlier relevant literature and studies. The results of this study showed that perceived ease of use (PEU), perceived utility (PU), simplicity of use (SU), and social influence (SI) all significantly affected the use of technology in Jordanian conventional and Islamic banks.

The Internet of Things (IoT) is one of the most evolving technologies, which has a major impact on our daily life. Almost all new devices will have a feature to be connected and controlled over the Internet. Several applications are utilizing IoT to enhance routine processes and actions efficiently. The Internet of Vehicles (IoV) evolved from IoT, where vehicles communicate with each other or with other objects to have a better transportation environment to reduce the number of accidents and save people’s lives. IoV is considered new fields that need security requirements including confidentiality, integrity, availability, authentication, and trust. Trust management technique is used to validate entities behaviors automatically against well-defined policies. The major categories of trust model in IoV are based on entity, data, or a combination of both. This paper proposes a trust model which is based on a combination of entity and data to define the trust of vehicles and utilize the public key infrastructure to distribute certificates to vehicles. Based on certificate validation, messages will be trusted and accepted. This model has been tested across different simulation scenarios which showed that the proposed model detected malicious vehicles and trusted vehicles did not accept their messages.

Ad hoc networks, known as infrastructure-less networks, are composed of mobile nodes that connect without a centralized system controlling them. These networks have a wide range of potential applications, including emergency response, events, military operations, wireless access, and intelligent transportation. They can take on various forms, such as wireless sensor networks, wireless mesh networks, and mobile ad hoc networks. Because users in these networks can move around at any time, routing protocols must adapt to the constantly changing network layout. However, these networks are also susceptible to various security threats, including DDoS attacks. This paper aims to analyze the performance and impact of security attacks on the performance of reactive and proactive routing protocols in CBR connection patterns with different pause times. The analysis is provided in metrics such as throughput, packet loss, end-to-end delay, and load. The simulation results show that, on average, the OPNET Modeler simulator analyzed the performance results under DDoS attacks under voice and video traffic conditions. Furthermore, the paper explores the use of Honeypot intelligent agents as a solution to increase security by creating a dummy node to fool DDoS attackers. The results show that the OLSR protocol is most affected by DDoS attacks in terms of quality-of-service metrics such as packet loss, throughput, end-to-end delay, and load. The number of responses to the honeypot solutions differs for each protocol.

This paper proposes a new variant of NTRU with a slightly different critical formulation. The significance of this new variant is that it requires an additional private key to provide a tighter scheme. Because of these changes, modified key generation, encryption and decryption algorithms have been developed accordingly. The new variant is analyzed and tested against several well-known attacks, namely the alternate private key attack, brute force attack, meet-in-the-middle attack, multiple transmission attacks and lattice attack. Security properties related to these attacks have been established and explored to ensure the new variant is secure against the said attacks. Several examples are provided to illustrate the ideas.

The research aimed to know the impact of electronic delivery orders and logistics digitalization on the import document activities mediated by logistics service quality in the national shipping lines, especially the members of Regional Container Lines. Several logistics companies in Indonesia have now begun to utilize digital technology supported by the national logistics ecosystem platform to advance logistics activities, to assist logistics processes in all sectors, including the industrial sector. Shipping, especially by sea shipping. One of the research problems, among others, is that the TSJ/T3 terminal still uses manual delivery orders. The research used the path analysis method and Sobel test with a random sample of 102 PT Bhum Mulia Prima customers. The result of the study showed that electronic delivery orders and logistics digitalization partially contribute to the import document activities through logistics service quality. Furthermore, logistics service quality as the intervening variable strengthened the contribution of an electronic delivery order to the import document activities. Testing is also needed by comparing digital systems between the shipping companies that still do not use manual documents and those that have used online processes in import activities.

Social Engineering (SE) Attacks against information systems continue to pose a potentially devastating impact. Security information systems are becoming increasingly significant as the number of SE incidents rapidly increased and became more aggressive than before. The World Wide Web (WWW) has evolved for information exchange and knowledge-sharing. It enables the sharing of information in a timely, effective, and transparent manner. Identity theft and identity misuse are two sides of cybercrime in which hackers and fraudulent users collect sensitive information from current legal users in order to perform fraud or deceit for financial gain. Malicious links are used as phishing methods, in which malicious links are planted beneath legitimate-looking links. As the number of web pages grows, the number of malicious web pages and the attacks of such become more complex. In this paper, we provide a method for identifying malicious web pages using a crawling and classification approach that helps to support the automatic discovery of the malicious links. The proposed approach can successfully complete the crawling session even if the page requires partial page refreshment and authentication credentials. The evaluation of the proposed approach shows a higher accuracy compared to an existing approach with an overall accuracy of 72% in three custom applications. Moreover, the proposed approach will calculate the significance and the impact severances of each link on the website and it better differentiates malicious web pages and normal links. The results of the proposed approach will also help in providing a set of recommendations which can increase the awareness level of the end-users, website administrators on how to better deal with these types of SE attacks.

The aim of this study is twofold. First, to explore the effect of smart human resources (HR) 4.0 practices on employee effectiveness. Second, to investigate the mediating role of employee job satisfaction in the relationship between these two latent variables. Distributing a questionnaire to gather data from a sample of HR managers and employees in Ministry of Digital Economy and Entrepreneurship, the results point out that smart HR 4.0 practices as a whole construct represent a significant predictor of employee job effectiveness as measured by employee performance based on their personal, social, methodological, and technical skills. As well, the results revealed that smart HR 4.0 embodies a significant predictor of employee job satisfaction. The results found a significant effect of the latter on employee job effectiveness, a significant mediating role of employee job satisfaction was established. The study provides a theoretical basis for further studies on such effects as well as an empirical ground from which companies could start to boost employee satisfaction and effectiveness through smart HR 4.0 technologies.

It is critical to safeguard confidential data, especially secret and private messages. This study introduces a novel data cryptography approach. The new approach will be capable of encrypting and decrypting any communication size. The suggested approach will use a sophisticated private key with a convoluted structure. The private key will have 5 components with a double data type to prevent guessing or hacking. The confidential data will produce two secret keys, the first of which will be taken from the image key. These keys will be vulnerable to slight changes in private key information. To maximize the approach's efficiency, the suggested method will deal with lengthy messages by splitting them into chunks. On the other hand, the chaotic logistic map model will be used to create the second key. The suggested technique will be implemented, and several sorts of analysis (sensitivity, quality, security, and speed analysis) will be undertaken to demonstrate the benefits of the proposed method. The quality metrics MSE, PSNR, and CC will be computed to validate the suggested method's quality. To illustrate the efficiency of the proposed technique, encryption and decryption times will be measured, and cryptography throughputs will be determined. Various PKs will be tried throughout the decryption process to demonstrate how sensitive the produced outputs are to changes in the private key. The suggested approach will be tested, and the results will be compared to the results of existing methods to demonstrate the improvement offered by the proposed method.

Peru is a country with a complex geography. Moreover, it lacks minimal safe roads, higher in Andean and jungle territories. Depending on the classification they might receive, the num-ber of kilometers without pavement can reach up to 80%. Such a rate is alarming, consider-ing that internationally the United Nations promotes actions for road security since road ac-cidents are among the most common causes of death causes in the world. Then, employing data from Sutran, the current research has analyzed how the severity of accidents can affect road administration in Peru roads in 2021. Hence, the multinomial logistic regression was employed due to the nature of the data. It was found that regional routes had a higher risk than national roads when estimating the probability of having many dead and injured people because of a road accident.