This demonstration shows a process to collect critical video clips from car black boxes using smart phones. Critical video clips in the black box are hashed to provide data integrity before being transmitted to the police server. Without VANET infrastructure, smart phones are very useful communication media for car black boxes.

Rogue Access Points (RAPs) cause serious security threats to wireless networks. To detect RAPs, we propose a novel user-oriented framework based on security condition. AP's security condition which includes cipher and authentication type has been specified by the vendors. So it is difficult to be faked when authentication type is specified as IEEE 802.1X by the vendors. Authorized APs' SSID and security level have stored in database, and by comparing this information we can determine whether an AP is a rogue one or not. Furthermore, we provide users with optional secure channel. The experimental results show that the proposed framework can work efficiently.

No abstract

In this paper, we propose an improved Multi Gray-Leveling scheme which reduces the problems of the existing Multi Gray-Leveling scheme suggested as a way of prevention against call spam in VoIP environment. The existing scheme having two different time period distinguishes the possibility of call spam by checking the call interval, so that it prevents the spammer's avoidance controlling the call interval. This is the strength of the existing one but it can misunderstand the normal user as a spammer due to taking long term time period. To solve this problem, this paper proposes the upgrade scheme which utilizes the receiver's action pattern as well as the caller's action pattern. It has such a good strength that can do gray leveling via the collected information in the database of VoIP service provider without user's direct involvement. Hence it can be a very effective way of VoIP spam detection.※ 본 연구는 지식경제부 및 정보통신산업진흥원의 대학 IT연구센터 지원사업의 연구결과로 수행되었음