Despite the fact that the Internet has positively impacted people's lives, there are negative issues emerged related to the use of Internet. Cases like cyber-bully, online fraud, racial abuse, pornography and gambling had increased tremendously due to the lack of awareness and self-mechanism among Internet users to protect themselves from being victims to these acts. However, past research revealed that the level of awareness among Internet users is still low or moderate. One of the vital measures to be taken is to cultivate knowledge and awareness among Internet users from their early age, i.e., young children. Young children specifically, need to be educated to operate in a safe manner in cyberspace and to protect themselves in the process. The objective of this systematic review paper is to explore why it is so critical that modern learners are educated about the risks associated with being active in cyberspace and the strategies that stakeholders can use to promote cyber security education in schools. In this paper, few strategies are discussed as how cyber security education can be implemented in schools.

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<p>In developing a music recommendation system, there are several factors that can contribute to the inefficiency in music selection. One of the problems persists during the music listening is that common music playing application lacks the ability to acquire context of the user. Another problem that common music recommendation system fails to address the is emotional impact of the recommended song. To address this gap, this paper presents a music recommendation system based on fuzzy inference engine that considers user activities and emotion as part of the recommendation parameters. The system includes building a smart music recommendation system that has user profiling capabilities to recommend correct songs based on the user’s preferences, mood and time. Findings of the this paper have shown that Heartbeats’s fuzzy inference engine has successfully achieved its aim, which is to improve users’ music listening experience by giving suitable song recommendation based on user context situation.</p>

Internet has been dominating the world nearly a decade. Web application is known to be the most widespread platform of the internet especially when it comes to share resources, e-commerce services, education and business platforms. Since the usage of web applications are increasing dramatically, it’s becoming more vulnerable for security attacks. Each year, organizations facing many security attacks towards their web applications. Although many security practices and mitigations have been applying in web application, however there are still some security loophole issues can be found in web application. For instance, these loopholes can be referred as lack of secure coding (standards) implemented in web application, lack of formal security training approach for web developers and improper security testing for their web application. Besides, social engineering attacks also tremendously increasing each year. Many organizations were compromised through phishing attacks due to lack of awareness among users (employees). As a solution to overcome the issues, a research project will be carried out to implement a system called Nscanner to detect Structured Query Language injection (SQLi) and Cross-Site Scripting (XSS) vulnerabilities for web application. Moreover, the developer also will design a malware detection feature based on machine learning approach to detect malware found in attachments from emails in order to prevent malware phishing attacks.

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