Dr. Konstantinos Kyriakopoulos is Research Associate in High Speed Networks group. His current research involves developing methodologies for cross-layer wireless and wired mixed network measurements and analysing and understanding their effects focusing particularly on the Application layer (end-user's perspective).
In other words the aim of his research is to understand how characteristics of one layer, e.g. channel power of the Physical layer, affect characteristics at other layers, e.g. packet loss or congestion of the Network layer. During his research, he has gained experience with relevant software (Aircrack/airodump, Wireshark, tshark, Kismet) as well as with hardware (Oscilloscopes, Spectrum Analysers) used for wireless measurements and particularly for measuring channel power of the 802.11 protocol (Wi-Fi).
Currently, as a research associate, his responsibilities involve research on data fusion of cross-layer metrics for the purpose of detecting wireless network intrusion/spoofing attacks. He has developed a prototype on-line wireless monitoring tool for Linux and Microsoft systems. In addition, he is investigating data mining tools for automating the selection of appropriate metrics for detecting attacks and classification tools for mitigation.
In addition, he has also made contact, established good relations and worked with international researchers in this area (Naples University, University of Cambridge, UCL, Lancaster University).
He has reviewed for the International Journal of Internet Protocol Technology, Inderscience Publishers, for SpringerBriefs, Springer-Verlag London Ltd and others.
For more information visit his website or view his LinkedIn account.
Expertise
Communication and Computer Networks: Architecture
Management
and Applications
Fixed and mobile communication systems
Cross-layer measurement
Network measurement
As an undergraduate Dr. Konstantinos Kyriakopoulos studied Electrical and Electronic Engineering in Greece. His full time placement responsibilities included research on various Building Management Systems (BMS) and participation in electrical installations in buildings. He decided to follow the Digital Communications System (DCS) M.Sc. course in Loughborough University in order to gain a broad knowledge regarding the telecommunications field.
Due to his deep interest in computer networks and network performance monitoring he decided to pursue his M.Sc. dissertation under Professor David Parish. His dissertation involved developing a software tool that accesses information stored in routers and analyses this information in order to infer the topology of the physical network. After his M.Sc. program, he received founding from Loughborough University in order to pursue a PhD in High Speed Networks group.
Since October 2007 he is working as a Research Associate in High Speed Networks (HSN) Group. For more information on his current research see the "Research" tab or download his C.V. which can be found below. During his work in HSN group, he has participated in many research events such as conferences, workshops and seminars. This has helped him expand his knowledge and understanding of research procedures required for solving problems in a scientificaly rigorous way. In addition, he has produced and delivered numerous research and technical related presentations as assignments for conferences or for university projects and meetings.
Click here to download full CV
His research experience is involved with wireless and wired computer network performance monitoring and measurement. Monitored network data allows network managers and operators to gain valuable insight into the health and status of a network, and if interpreted correctly, can assist in remedial action to keep the network operating in a near optimum manner.
Currently, as a research associate, his responsibilities involve research on data fusion of cross-layer metrics for the purpose of detecting wireless network intrusion/spoofing attacks. He has developed a prototype on-line wireless monitoring tool for Linux and Microsoft systems. In addition, he is investigating data mining tools for automating the selection of appropriate metrics for detecting attacks and classification tools for mitigation.
In the past, he has worked on an EPSRC platform grant project with the aim of understanding and developing methodologies for cross-layer mixed network measurements. In other words, the aim was to understand how characteristics of the physical layer, e.g. channel power, affect characteristics at higher layers, e.g. packet loss or congestion. He has gained experience with relevant software and hardware used for such tasks. In addition, he has also initialized collaboration with established international researchers in this area (Naples University).
His PhD work was focused on producing a method for adaptively compressing computer network measurements while preserving the quality and important statistical characteristics of the original measurement signals. As an output from his PhD work he has made numerous publications but also built software that is offered as a module for an open source tool, CoMo, that is supported by Intel for the purpose of monitoring network links.
His PhD research was also involved with using signal analysis techniques on the gathered computer network measurements in order to detect sharp and unpredictable changes. In other words, through proper signal analysis, anomalies in the volume of the measured quantity are exposed. Such anomalies may occur due to security attacks, flash crowds, changes of the load in the network or a possible fault in the route of a network.
Furthermore, he has volunteered to assist Prof. Parish in the development of a visualized monitoring tool for a segment of UK's Research and Educational network (JANET). The tool, in an intuitive way, passes information to the administrator regarding the traffic load and the loss of packets, which both are affiliated to the congestion of the network.
Dr. Kyriakopoulos has assisted in the lab demonstration of Communication Networks module (ELP009). The aim of the lab is to teach students the concept of mean, min, max and instantaneous utilisation and what these mean for the performance of the examined network. Using a Wireless Network Protocol Analyser, the students need to capture packets from the examined network and derive the desire statistics.
View all Dr Kyriakopoulos’s publications in the central publications database
Selected Publications
- L. Angrisani, Konstantinos G. Kyriakopoulos, A. Napolitano, D. J. Parish, M. Vadursi, W. Whittow, “Experimental Assessment of the Effects of Cross-traffic on Wi-Fi Video Streaming”, Accepted in Measurement: Journal of the International Measurement Confederation, Elsevier.
- Konstantinos G. Kyriakopoulos, David J. Parish, "An Evaluation of Wavelets for the Controlled Compression of Communication Network Measurements”, Accepted in IET Communications Proceedings.
- Konstantinos G. Kyriakopoulos, David J. Parish, “A system for on-line compression of high speed network measurements”, International Journal of Internet Protocol Technology (IJIPT), Inderscience, Vol. 3, No. 2, 2008.
- Konstantinos G. Kyriakopoulos, David J. Parish, “A Live System for Wavelet Compression of High Speed Computer Network Measurements”, In Proceedings of Passive and Active Measurement 2007 (PAM 2007), volume 4427 of Lecture Notes in Computer Science, pages 241–244, Louvain-La-Neuve, Belgium, 4-6 April 2007. Springer-Verlang.
