Blättern Fakultät für Mathematik und Informatik (inkl. GAUSS) nach "Fu, Xiaoming Prof. Dr." Betreuer
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PHOENIX: A Premise to Reinforce Heterogeneous and Evolving Internet Architectures with Exemplary Applications
(2020-12-02)The Internet was designed primarily for sharing expensive resources through establishing point-to-point connection using dedicated IP addresses. However, it has since evolved both in complexity and its number of users. ... -
Resource Management for Efficient, Scalable and Resilient Network Function Chains
(2018-08-10)Networks, the basis of the modern connected world, have evolved beyond the con- nectivity services. Network Functions (NFs) or traditionally the middleboxes are the basis of realizing different types of services such as ... -
Social-Based Data Routing Strategies in Delay Tolerant Networks
(2014-04-03)Delay Tolerant networks (DTNs) are intermittently connected mobile networks in which the end-to-end paths do not exist. Data delivery in such networks relies upon the contacts that use "store-carry-and-forward" paradigm ... -
Towards a Robust and Secure Decentralized Online Social Network
(2015-01-15)The virtually unlimited growth of popular Online Social Networks (OSNs) is often accompanied by severe violations of their users' privacy and intellectual property rights. Both problems are rooted in the centralized ... -
Triadic Closure and Its Influence in Social Networks
(2016-09-12)Social triad—a group of three people—is one of the simplest and most fundamental social groups, which serves as the basis of social network analysis. Triadic closure, a closing process of an open triad, is a useful ... -
User Attribute Inference via Mining User-Generated Data
(2020-12-03)User attributes refer to a person's various demographic characteristics, like income, education, job, age, gender, socioeconomic status (SES), etc. User attributes play an important role in many research areas like sociology ... -
User identification and community exploration via mining big personal data in online platforms
(2021-10-19)User-generated big data mining is vital important for large online platforms in terms of security, profits improvement, products recommendation and system management. Personal attributes recognition, user behavior prediction, ...