Vincent Lenders mainly investigates Computer network, Computer security, Wireless ad hoc network, Wireless and Automatic dependent surveillance-broadcast. Vincent Lenders works mostly in the field of Computer network, limiting it down to topics relating to Throughput and, in certain cases, Communications system, The Internet and Broadcasting. The Computer security study combines topics in areas such as Wireless network and World Wide Web.
His Wireless ad hoc network research is multidisciplinary, incorporating elements of Mobile ad hoc network and Protocol. His research investigates the connection between Protocol and topics such as Communications protocol that intersect with issues in Wireless sensor network. The concepts of his Wireless study are interwoven with issues in Time domain, Overhead, Communication channel, Modulation and Deep learning.
The scientist’s investigation covers issues in Computer network, Wireless, Computer security, Real-time computing and Wireless sensor network. Vincent Lenders interconnects Wireless ad hoc network and Distributed computing in the investigation of issues within Computer network. Vincent Lenders has included themes like Crowdsourcing, Anomaly detection and Spread spectrum, Direct-sequence spread spectrum in his Wireless study.
His Exploit, Threat model and Malware study in the realm of Computer security connects with subjects such as Automatic dependent surveillance-broadcast. He works mostly in the field of Real-time computing, limiting it down to concerns involving Embedded system and, occasionally, Wideband. His studies deal with areas such as Telecommunications and Key as well as Wireless sensor network.
His primary areas of investigation include Wireless, Computer security, Wireless sensor network, Real-time computing and Telecommunications. His biological study spans a wide range of topics, including Data modeling, Overhead, Anomaly detection, Feature vector and Host. Host is a subfield of Computer network that he explores.
His Computer network research includes elements of Malware and Botnet. His work on Exploit, Traffic collision avoidance system and Key as part of general Computer security study is frequently linked to Ground proximity warning system and Jamming, bridging the gap between disciplines. His Wireless sensor network study incorporates themes from Open API and Metadata.
Vincent Lenders focuses on Wireless sensor network, Computer security, Artificial intelligence, Real-time computing and Wireless. His studies in Wireless sensor network integrate themes in fields like Crowdsourcing, Overhead and Modulation. His Computer security research is multidisciplinary, relying on both Cockpit and Botnet.
His work in the fields of Artificial intelligence, such as Lossy compression, Autoencoder and Anomaly detection, intersects with other areas such as Anomaly. As a part of the same scientific family, Vincent Lenders mostly works in the field of Real-time computing, focusing on Spoofing attack and, on occasion, Global Positioning System and Telecommunications network. His research integrates issues of Time domain, Data modeling, Deep learning, Symbol rate and Algorithm in his study of Wireless.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors
Sreeraj Rajendran;Wannes Meert;Domenico Giustiniano;Vincent Lenders.
IEEE Transactions on Cognitive Communications and Networking (2018)
Short paper: reactive jamming in wireless networks: how realistic is the threat?
Matthias Wilhelm;Ivan Martinovic;Jens B. Schmitt;Vincent Lenders.
wireless network security (2011)
Wireless Ad Hoc Podcasting
V. Lenders;G. Karlsson;M. May.
sensor mesh and ad hoc communications and networks (2007)
Service discovery in mobile ad hoc networks: a field theoretic approach
V. Lenders;M. May;B. Plattner.
world of wireless mobile and multimedia networks (2005)
Realities and challenges of nextgen air traffic management: the case of ADS-B
Martin Strohmeier;Matthias Schafer;Vincent Lenders;Ivan Martinovic.
IEEE Communications Magazine (2014)
Bringing up OpenSky: a large-scale ADS-B sensor network for research
Matthias Schäfer;Martin Strohmeier;Vincent Lenders;Ivan Martinovic.
information processing in sensor networks (2014)
Wireless ad hoc podcasting
Vincent Lenders;Martin May;Gunnar Karlsson;Clemens Wacha.
Mobile Computing and Communications Review (2008)
On the Security of the Automatic Dependent Surveillance-Broadcast Protocol
Martin Strohmeier;Vincent Lenders;Ivan Martinovic.
IEEE Communications Surveys and Tutorials (2015)
Location-based trust for mobile user-generated content: applications, challenges and implementations
Vincent Lenders;Emmanouil Koukoumidis;Pei Zhang;Margaret Martonosi.
workshop on mobile computing systems and applications (2008)
Experimental analysis of attacks on next generation air traffic communication
Matthias Schäfer;Vincent Lenders;Ivan Martinovic.
applied cryptography and network security (2013)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: