Now showing 1 - 10 of 199
  • 2016Journal Article
    [["dc.bibliographiccitation.firstpage","7585"],["dc.bibliographiccitation.journal","IEEE Access"],["dc.bibliographiccitation.lastpage","7593"],["dc.bibliographiccitation.volume","4"],["dc.contributor.author","Zhu, Konglin"],["dc.contributor.author","Zhi, Wenting"],["dc.contributor.author","Zhang, Lin"],["dc.contributor.author","Chen, Xu"],["dc.contributor.author","Fu, Xiaoming"],["dc.date.accessioned","2017-09-07T11:44:52Z"],["dc.date.available","2017-09-07T11:44:52Z"],["dc.date.issued","2016"],["dc.identifier.doi","10.1109/access.2016.2618940"],["dc.identifier.gro","3148996"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5636"],["dc.notes.intern","Fu Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.publisher","Institute of Electrical and Electronics Engineers (IEEE)"],["dc.relation.eissn","2169-3536"],["dc.relation.issn","2169-3536"],["dc.title","Social-Aware Incentivized Caching for D2D Communications"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]
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  • 2017Preprint
    [["dc.contributor.author","Wang, Haitao"],["dc.contributor.author","Adhatarao, Sripriya"],["dc.contributor.author","Arumaithurai, Mayutan"],["dc.contributor.author","Fu, Xiaoming"],["dc.date.accessioned","2018-05-28T11:53:11Z"],["dc.date.available","2018-05-28T11:53:11Z"],["dc.date.issued","2017"],["dc.description.abstract","Information Centric Networking is a new networking paradigm that treats content as first class entity. It provides content to users without regards to the current location of the content. The publish/subscribe systems have gained popularity in Internet. Pub/sub systems dismisses the need for users to request every content of their interest. Instead, the content is supplied to interested users (subscribers) as and when it is published. CCN/NDN are popular ICN proposals widely accepted in the ICN community however, they do not provide an efficient pub/sub mechanism. COPSS enhances CCN/NDN with an efficient pub/sub capability. Internet of Things (IoT) is a growing topic of interest in both Academia and Industry. The current designs for IoT relies on IP. However, the IoT devices are constrained in their available resources and IP is heavy for their operation.We observed that IoT's are information centric in nature and hence ICN is a more suitable candidate to support IoT environments. Although NDN and COPSS work well for the Internet, their current full fledged implementations cannot be used by the resource constrained IoT devices. CCN-lite is a light weight, inter-operable version of the CCNx protocol for supporting the IoT devices. However, CCN-lite like its ancestors lacks the support for an efficient pub/sub mechanism. In this paper, we developed COPSS-lite, an efficient and light weight implementation of pub/sub for IoT. COPSS-lite is developed to enhance CCN-lite and also support multi-hop connection by incorporating the famous RPL protocol for low power and lossy networks. We provide a preliminary evaluation to show proof of operability with real world sensor devices in IoT lab. Our results show that COPSS-lite is compact, operates on all platforms that support CCN-lite and we observe significant performance benefits with COPSS-lite in IoT environments."],["dc.format.extent","6"],["dc.identifier.arxiv","1706.03695v1"],["dc.identifier.uri","http://hdl.handle.net/2/14784"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.title","COPSS-lite: Lightweight ICN Based Pub/Sub for IoT Environments"],["dc.type","preprint"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2011Report
    [["dc.bibliographiccitation.firstpage","3"],["dc.bibliographiccitation.lastpage","18"],["dc.bibliographiccitation.volume","No. IFI-TB-2011-06"],["dc.contributor.author","Chen, Jiachen"],["dc.contributor.author","Arumaithurai, Mayutan"],["dc.contributor.author","Jiao, Lei"],["dc.contributor.author","Fu, Xiaoming"],["dc.contributor.author","Ramakrishnan, K.K."],["dc.date.accessioned","2018-05-07T12:04:32Z"],["dc.date.available","2018-05-07T12:04:32Z"],["dc.date.issued","2011"],["dc.description.abstract","Content-Centric Networks (CCN) provide substantial flexibility for users to obtain information without regard to the source of the information or its current location. Publish/ subscribe (pub/sub) systems have gained popularity in society to provide the convenience of removing the temporal dependency of the user having to indicate an interest each time he or she wants to receive a particular piece of related information. Currently, on the Internet, such pub/sub systems have been built on top of an IP-based network with the additional responsibility placed on the end-systems and servers to do the work of getting a piece of information to interested recipients. We propose ContentOriented Pub/Sub system (COPS) to achieve an efficient pub/sub capability for CCN. COPS enhances the heretofore inherently pull-based CCN architectures proposed by integrating push based multicast at the content-centric layer. We emulate an application that is particularly emblematic of a pub/sub environment—Twitter—but one where subscribers are interested in content (e.g., identified by keywords), rather than tweets from a particular individual. Using trace-driven simulation, we demonstrate that our architecture can achieve a scalable and efficient pub/sub content centric network. The simulator is parameterized using the results of careful microbenchmarking of the open source CCN implementation and of standard IP based forwarding. Our evaluations show that COPS provides considerable performance improvements in terms of aggregate network load, publisher load and subscriber experience compared to that of a traditional IP infrastructure."],["dc.identifier.issn","1611-1044"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/14625"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.publisher","Institute of Computer Science, Georg-August-Universität Göttingen"],["dc.publisher.place","Göttingen"],["dc.title","COPS: An Efficient Content Oriented Publish/Subscribe System"],["dc.type","report"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2017Monograph
    [["dc.contributor.author","Fu, Xiaoming"],["dc.contributor.author","Luo, Jar-Der"],["dc.contributor.author","Boos, Margarete"],["dc.contributor.editor","Fu, Xiaoming"],["dc.contributor.editor","Luo, Jar-Der"],["dc.contributor.editor","Boos, Margarete"],["dc.date.accessioned","2017-11-29T14:25:28Z"],["dc.date.available","2017-11-29T14:25:28Z"],["dc.date.issued","2017"],["dc.format.extent","alle"],["dc.fs.externid","233140"],["dc.fs.pkfprnr","21263"],["dc.identifier.fs","623374"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/10634"],["dc.language.iso","en"],["dc.notes.intern","FactScience-Import"],["dc.notes.status","final"],["dc.publisher","CRC Press"],["dc.publisher.place","Boca Raton, Florida"],["dc.title","Social Network Analysis"],["dc.title.subtitle","Interdisciplinary Approches and Case Studies"],["dc.type","book"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","unknown"],["dspace.entity.type","Publication"]]
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  • 2016Journal Article
    [["dc.bibliographiccitation.firstpage","99"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","IEEE/ACM Transactions on Networking"],["dc.bibliographiccitation.lastpage","112"],["dc.bibliographiccitation.volume","24"],["dc.contributor.author","Jiao, Lei"],["dc.contributor.author","Li, Jun"],["dc.contributor.author","Xu, Tianyin"],["dc.contributor.author","Du, Wei"],["dc.contributor.author","Fu, Xiaoming"],["dc.date.accessioned","2017-09-07T11:44:57Z"],["dc.date.available","2017-09-07T11:44:57Z"],["dc.date.issued","2016"],["dc.identifier.doi","10.1109/tnet.2014.2359365"],["dc.identifier.gro","3149027"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5670"],["dc.notes.intern","Fu Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.publisher","Institute of Electrical and Electronics Engineers (IEEE)"],["dc.relation.eissn","1558-2566"],["dc.relation.issn","1063-6692"],["dc.title","Optimizing Cost for Online Social Networks on Geo-Distributed Clouds"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]
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  • 2012Conference Paper
    [["dc.bibliographiccitation.firstpage","349"],["dc.bibliographiccitation.lastpage","360"],["dc.contributor.author","Tegeler, Florian"],["dc.contributor.author","Fu, Xiaoming"],["dc.contributor.author","Vigna, Giovanni"],["dc.contributor.author","Kruegel, Christopher"],["dc.date.accessioned","2018-05-02T10:36:13Z"],["dc.date.available","2018-05-02T10:36:13Z"],["dc.date.issued","2012"],["dc.description.abstract","Bots are the root cause of many security problems on the Internet, as they send spam, steal information from infected machines, and perform distributed denial-of-service attacks. Many approaches to bot detection have been proposed, but they either rely on end-host installations, or, if they operate on network traffic, require deep packet inspection for signature matching. In this paper, we present BotFinder, a novel system that detects infected hosts in a network using only high-level properties of the bot's network traffic. BotFinder does not rely on content analysis. Instead, it uses machine learning to identify the key features of command-and-control communication, based on observing traffic that bots produce in a controlled environment. Using these features, BotFinder creates models that can be deployed at network egress points to identify infected hosts. We trained our system on a number of representative bot families, and we evaluated BotFinder on real-world traffic datasets -- most notably, the NetFlow information of a large ISP that contains more than 25 billion flows. Our results show that BotFinder is able to detect bots in network traffic without the need of deep packet inspection, while still achieving high detection rates with very few false positives."],["dc.identifier.doi","10.1145/2413176.2413217"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/13802"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.publisher","ACM"],["dc.relation.conference","CoNEXT '12"],["dc.relation.eventend","2012-12-13"],["dc.relation.eventlocation","New York, NY, USA"],["dc.relation.eventstart","2012-12-10"],["dc.relation.isbn","978-1-4503-1775-7"],["dc.relation.ispartof","Proceedings of the 8th international conference on Emerging networking experiments and technologies"],["dc.title","BotFinder"],["dc.title.subtitle","Finding Bots in Network Traffic Without Deep Packet Inspection"],["dc.type","conference_paper"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]
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  • 2021Journal Article
    [["dc.bibliographiccitation.firstpage","445"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","IEEE Transactions on Mobile Computing"],["dc.bibliographiccitation.lastpage","459"],["dc.bibliographiccitation.volume","20"],["dc.contributor.author","Yang, Song"],["dc.contributor.author","Li, Fan"],["dc.contributor.author","Trajanovski, Stojan"],["dc.contributor.author","Chen, Xu"],["dc.contributor.author","Wang, Yu"],["dc.contributor.author","Fu, Xiaoming"],["dc.date.accessioned","2021-04-14T08:30:07Z"],["dc.date.available","2021-04-14T08:30:07Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1109/TMC.2019.2942306"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83110"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1558-0660"],["dc.relation.eissn","2161-9875"],["dc.relation.issn","1536-1233"],["dc.title","Delay-Aware Virtual Network Function Placement and Routing in Edge Clouds"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2017Book Chapter
    [["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.lastpage","20"],["dc.contributor.author","Fu, Xiaoming"],["dc.contributor.author","Luo, Jar-Der"],["dc.contributor.author","Boos, Margarete"],["dc.contributor.editor","Fu, Xiaoming"],["dc.contributor.editor","Luo, Jar-Der"],["dc.contributor.editor","Boos, Margarete"],["dc.date.accessioned","2017-09-07T11:44:52Z"],["dc.date.available","2017-09-07T11:44:52Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1201/9781315369594-2"],["dc.identifier.gro","3148999"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5639"],["dc.language.iso","en"],["dc.notes.intern","Fu Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.publisher","CRC Press"],["dc.publisher.place","Boca Raton/London/New York"],["dc.relation.ispartof","Social Network Analysis"],["dc.title","Methods for Interdisciplinary Social Network Studies"],["dc.type","book_chapter"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]
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  • 2020Journal Article
    [["dc.bibliographiccitation.firstpage","102765"],["dc.bibliographiccitation.journal","Journal of Network and Computer Applications"],["dc.bibliographiccitation.volume","169"],["dc.contributor.author","Yang, Song"],["dc.contributor.author","Li, Fan"],["dc.contributor.author","Trajanovski, Stojan"],["dc.contributor.author","Fu, Xiaoming"],["dc.date.accessioned","2021-04-14T08:32:01Z"],["dc.date.available","2021-04-14T08:32:01Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1016/j.jnca.2020.102765"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83778"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.issn","1084-8045"],["dc.title","Traffic routing in stochastic network function virtualization networks"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2006Journal Article
    [["dc.bibliographiccitation.firstpage","3416"],["dc.bibliographiccitation.issue","17"],["dc.bibliographiccitation.journal","Computer Networks"],["dc.bibliographiccitation.lastpage","3433"],["dc.bibliographiccitation.volume","50"],["dc.contributor.author","Fu, Xiaoming"],["dc.contributor.author","Tschofenig, Hannes"],["dc.contributor.author","Hogrefe, Dieter"],["dc.date.accessioned","2017-09-07T11:44:50Z"],["dc.date.available","2017-09-07T11:44:50Z"],["dc.date.issued","2006"],["dc.identifier.doi","10.1016/j.comnet.2006.01.006"],["dc.identifier.gro","3148992"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5631"],["dc.notes.intern","Fu Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.publisher","Elsevier BV"],["dc.relation.issn","1389-1286"],["dc.title","Beyond QoS signaling: A new generic IP signaling framework"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]
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