Decision analysis of statistically detecting distributed denial-of-service flooding attacks

There are two statistical decision making questions regarding statistically detecting sings of denial-of-service flooding attacks. One is how to represent the distributions of detection probability, false alarm probability and miss probability. The other is how to quantitatively express a decision region within which one may make a decision that has high detection probability, low false alarm probability and low miss probability. This paper gives the answers to the above questions. In addition, a case study is demonstrated.

Shared learning : a collaborative approach for supporting pre-service teacher's reflective practice

Independent learning and critical thought are developed when students are encouraged to express and review their own understandings and the ideas of others as part of their learning journey. This paper focuses on an innovation to engage and support pre-service teachers (students) in a collaborative approach to learning following a teaching practicum. Through the creation of a learning community, information and practice is shared and further challenged in a supportive environment. The opportunity for students to review their own work in relation to responses of peers enables them to become involved in the process of critiquing their own beliefs and practices as well as their peers, within a set framework. Favourable outcomes for both students and university staff augur well for the future development of the process.