Increasing cybercrime cases related to the Internet has alert the authority bodies of the country to investigate the causes and actions that need to be taken. Malaysia as a developing country that looking towards advancement of ICT usage in various sectors need to take firm and strategic actions to overcome cybercrime particularly love scams that affect the development of wise generation and degradation of economic growth. There is also a need to take further look into this matter from the ethical point of views. Perhaps, holistic views of the problem causes and solution can be highlighted. Thus this paper will discuss on the theoretical perspectives based on Kantianism, Social Contract Theory, Rule and Act Utilitarianism. Some possible causes to the problem were also identified including from the weaknesses of the victims or advancement of ICT usage itself. In the end, proactive solutions are proposed to deal with the issue involving cooperation from the individual internet users also the authority departments in the countries involved.

The paper examines the existing researchers view on security measures on mobile learning. In general, it discovers related measure on security which includes reliability, trust, privacy and security itself. Each measure is widely used as determinants in previous studies and its range in some environments and perspectives. Reliability and security determinants are widely adapted to measure in terms of the infrastructure of mobile learning environment, while trust and privacy mostly measure behaviours and perceptions from the user or human towards mobile learning. Furthermore, the study will also investigate the infrastructure and components of mobile learning itself in order to determine the security vulnerabilities that may involve in the mobile learning environment. Other security features that are discussed at glance include the key distribution and management, information confidentiality and privacy, secure routing, intrusion detection, data integrity, entity authentication and secure data aggregation. However, at the end of this study, mapping on the relevent security measures with each component of mobile learning will be formulated for further study.

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