One of the essential stages in increasing cyber security is implementing an effective security awareness program. This work studies the present level of security knowledge among Imam Abdulrahman Bin Faisal University college students. A module was created to assist the students in becoming more informed. The main contribution of this work is an assessment of cybersecurity awareness among the university students based on three essential aspects: password security, browser security, and social media. Numerous questions were designed and sent to them to evaluate their awareness. The current survey received as many as 450 responses with their answers. Various statistical analyses were applied to the responses, including the validity and reliability test, feasibility test of a variable, correlation test, multicollinearity test, multiple regression, and heteroskedasticity test, carried out using SPSS. Furthermore, a multiple linear regression model and coefficient of determination, a hypothesis test, ANOVA test, and a partial test using ANOVA were also carried out. The hypothesis investigated here concerns password security, browser security, and social media. The results of partial hypothesis testing using a t-test showed that the password security variable significantly affects cybersecurity awareness (p-value = 0.0001). The regression coefficient of the password security variable in the multiple linear regression model was found to have a beta value of 0.147. In addition, the browser security variable significantly affects awareness, with a p-value = 0.0001. The regression coefficient of the password security variable had a beta value of 0.188. The social media activities variable significantly affects cybersecurity awareness (p-value = 0.0001). The regression coefficient of the social media activities variable had a beta value of 0.241. Based on the research conducted, it is concluded that knowledge of password security, browser security, and social media activities significantly influences cybersecurity awareness in students. Overall, students have realized the importance of cybersecurity awareness.

Digital transformation of businesses has seen tremendous growth recently, moreover, COVID-19 has increased online shopping. However, it is important for businesses that customers’ online shopping experience is secure and joyful. In this paper, customers’ security perception regarding some leading mobile commerce applications in Saudi Arabia is explored. Our survey questions focused on three aspects, namely: Consumer rating, trustworthiness, and credit card security. The results highlight that consumers perceive that mobile commerce applications in Saudi Arabia need further improvement in security. In this work, a model to improve customers’ security perception in Saudi Arabia is presented. This model can be generalized to other geographical regions as well. The model outlines different actions for practitioners and policymakers that help in improving security infrastructure, authentication mechanisms, and trustworthiness.

This rapidly changing digital world is always sensitive to improving security and resilience to protect the inhabitants of this ecosystem in terms of data, processes, repositories, communication, and functions. The transformation of this digital ecosystem is heavily dependent on cloud computing, as it is becoming the global platform for individuals, corporates, and even governments. Therefore, the concerns related to security are now linked closely with cloud computing. In this paper, a multi-cloud security framework takes a view on the development of security mechanisms to provide a diversion to the attacker. The purpose is to gain more time to analyze the attack and mitigate the intrusion without compromises. This mechanism is designed using the honeypot technology that has been around for some time but has not been used in cloud computing and other technologies. The proposed framework provides modules related to managing the multi-cloud platform, the intrusion detection and prevention system, and honeypots. The results show significant improvement in the accuracy of detecting attacks. These results are generated in a two-phase scenario, and the first phase has been analyzed without the engagement of the honeypot module presented in the framework. The second phase has been executed with same parameters and conditions by engaging the honeypot module. It includes a comparison taxonomy of both results and an in-depth study of existing honeypots, as well as critical design elements for current honeypot research and outstanding concerns for future honeypots in IoT, multi-cloud contexts.

We have synthesized new series of bisindole analogs (1–27), characterized by 1HNMR and HR-EI-MS and evaluated for their anti-leishmanial potential. All compounds showed outstanding inhibitory potential with IC50 values ranging from 0.7 ± 0.01 to 13.30 ± 0.50 µM respectively when compared with standard pentamidine with IC50 value of 7.20 ± 0.20 µM. All analogs showed greater potential than standard except 10, 19 and 23 when compared with standard. Structure activity relationship has been also established for all compounds. Molecular docking studies were carried out to understand the binding interaction of active molecules.

The aim of this study is to discover the impact of software security and e-mail security on overall cybersecurity among the students of Imam Abdulrahman Bin Faisal University in Dammam. Another main purpose to conduct this study is to know the level of knowledge students have in the developing countries about the cybersecurity and how much are they mindful of cyber-attacks and the level of awareness among the university students. Two important hypotheses were studied to discover their importance in awareness of cybersecurity. One is software security, and the other is e-mail security. A total of 11 relevant questions were drafted, and then these questions were distributed among the university students, and around 390 responded to the questionnaires. Statistical analysis was performed on the responses using tools. Initial tests such as validity and reliability test, feasibility test of a variable, correlation test, multicollinearity test, multiple regression, and Heteroskedasticity test were conducted using SPSS. And furthermore, multiple linear regression model and coefficient of determination, hypothesis test, ANOVA test, and partial test were conducted using ANOVA. The outcome of the analysis is software security variable (X1) that has a significant and positive effect on cybersecurity awareness ( value ≤0.001, β = 0.192). This shows that having a thorough understanding of software security can raise cybersecurity awareness up to 19.2%. E-mail security variable (X2) has a significant and positive effect on cybersecurityawareness (-value ≤0.000). This shows that having a thorough understanding of email security can raise cybersecurity awareness up to 31.3%. Software security (X1) and e-mail security (X2) variables simultaneously have a significant effect on cybersecurity awareness (-value ≤0.000) with a correlation coefficient of 12.1% (R2 = 0.121). This shows that the independent variable used can explain the level of cybersecurity awareness up to 12.1%. Research results show that students are aware of software or application updates. Furthermore, students’ awareness of email security is also good.