• The Journal of Korean Association of Computer Education
• /
• v.8 no.4
• /
• pp.107-114
• /
• 2005

While a user is using an adaptive hypermedia system, the user can also use an external application. If the user accesses the information which is related to the contents provided by the adaptive hypermedia system, it can affect a user profile that contains the information about the knowledge or interests of the user. However, the adaptive hypermedia system understands user's behavior based on whether a page is accessed or not and it is difficult for the system to recognize user's behavior that can occur outside the adaptive hypermedia system. In this paper, we propose an approach that can detect user's behavior using a message hooking mechanism so that both user's behavior inside an adaptive hypermedia system and behaviors that occur outside the system can be reflected in a user profile. We analyze user events using a hooking mechanism and update a user profile using an XML parser.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.24 no.5
• /
• pp.975-985
• /
• 2014

As financial transactions with a smartphone has become increasing, a myriad of security threats have emerged against smartphones. Among the many types of security threats, Smishing has evolved to be more sophisticated and diverse in design. Therefore, financial institutions have recommended that users doesn't install applications with setting of "Unknown sources" in the system settings menu and install application which detects Smishing. Unfortunately, these kind of methods come with their own limitations and they have not been very effective in handling Smishing. In this paper, we propose a systematic method to detect Smishing, in which the RIL(Radio Interface Layer) collects a text message received and then, checks if message databases stores text message in order to determine whether Smishing malware has been installed on the system. If found, a system call (also known as a hook) is used to block the outgoing text message generated by the malware. This scheme was found to be effective in preventing Smishing as found in our implementation.