Abstract: The cloud has emerged as a successful computing paradigm allowing users and organizations to rely on external providers for storing and processing their data and making them available to others. Undoubtedly, security is one of the significant concerns in cloud computing. However, one of the major security concerns is to protect against network intrusions that affect confidentiality, availability and integrity Cloud resources and offered services. In this paper, we present a new framework, that allows collaboration between Hybrid Intrusion Detection System (Hy-IDS), Firewalls and Mobile Agents. Deploying security mechanisms in cloud computing environment to detect and stop intrusion attempts through our framework. However, the security mechanisms unfolds in four phases: using mobile agents in a virtual environment to collect malicious data in order to detect intrusions. Then, generation of appropriate response actions local and remote from malicious data, which were collected in the fir

• Publication Date: 19-Aug-2016
• DOI: 10.15224/978-1-63248-099-6-34
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Abstract: WWW is moving from a Web of hyper-linked documents to a Web of linked data. Linked Open Data goes beyond borderlines by linking all the freely published RDF data in freely accessible datasets connected with each other to form the so called LOD cloud. This paper is focused on the evolution of the Linked Open Data platform of the SEE University curricula, from a research experiment to a data hub for the open content of the university. Based on Linked Data principles, loud.seeu.edu.mk is used to publish and access data about academic programs and courses offered in the university. It exposes as well a SPARQL endpoint in order to provide recommendations of resources based on user queries.

• Publication Date: 19-Aug-2016
• DOI: 10.15224/978-1-63248-099-6-35
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