Titlebook: On the Move to Meaningful Internet Systems: OTM 2008; OTM Confederated Int Robert Meersman,Zahir Tari Conference proceedings 2008 Springer-

Diskectomy

A Novel Worm Detection Model Based on Host Packet Behavior Rankingns to the worm detection: 1) presenting a hierarchical user habit model; 2) using normal software and time profile to eliminate the worm-like P2P traffic and accelerate the detection of worms; 3) presenting HPBRWD to effectively detect worms. Experiments results show that HPBRWD is effective to detect worms.

不愿

Computing Exact Outcomes of Multi-parameter Attack Treesral possible optimisations and evaluate the result experimentally. Finally, we also prove the consistency of our computations in the framework of Mauw and Oostdijk and discuss the need to extend the framework.

散布

Uncle-Share: Annotation-Based Access Control for Cooperative and Social Systemslary (tags) and helps to build a more flexible access control mechanism based on relationships among different types of users. We also present a prototype, a gadget called Uncle-Share, which we have developed to enable this access control mechanism and evaluate it.

上流社會(huì)

Asseverate

Ten Challenges for Ontology Matchinghe help of examples. Then, we present general trends of the field and discuss ten challenges for ontology matching, thereby aiming to direct research into the critical path and to facilitate progress of the field.

斜谷

Cpap155

Boosting Web Intrusion Detection Systems by Inferring Positive Signaturesf the monitored web application in two groups: the “regular” and the “irregular” ones, and applying a new method for anomaly detection on the “regular” ones based on the inference of a regular language. We support our proposal by realizing Sphinx, an anomaly-based intrusion detection system based on

譏諷

Principal Components of Port-Address Matrices in Port-Scan Analysisnew methods for reducing the traffic data to a simplified form comprising significant components of smaller dimensionality. (1) Dimension reduction via Term Frequency – Inverse Document Frequency (TF-IDF) values, a technique used in information retrieval, is used to choose significant ports and addr

任命

A Novel Worm Detection Model Based on Host Packet Behavior Ranking to address these problems, this paper first presents a user habit model to describe the factors which influent the generation of network traffic, then a design of HPBRWD (Host Packet Behavior Ranking Based Worm detection) and some key issues about it are introduced. This paper has three contributio

NUL