Publications

      View publications as a list

Simulation Modelling Practice and Theory 2024
Why it does not work? Metaheuristic task allocation approaches in Fog-enabled Internet of Drones
  • J17. Javanmardi,S., Sakellari,G., Shojafar, M., Caruso, A., 2024. Why it does not work? Metaheuristic task allocation approaches in Fog-enabled Internet of Drones, Simulation Modelling Practice and Theory.
Scientific Data 2024
AndroDex: Android Dex Images of Obfuscated Malware
  • J16. Aurangzeb, S., Aleem, M., Khan, M.T., Loukas, G. and Sakellari, G., 2024. AndroDex: Android Dex Images of Obfuscated Malware. Scientific Data, 11(1), p.212.
IEEE IT Professional 2023
Infrastructure-Less Prioritized Communication Platform for First Responders
  • J15. Wright, P., Asani, I., Pimenta, N., Chaves, P., Oliff, W. and Sakellari, G., 2023. Infrastructure-Less Prioritized Communication Platform for First Responders. IT Professional, 25(6), pp.29-37.
Future Internet 2023
Prototyping a hyperledger fabric-based security architecture for IoMT-based health monitoring systems
  • J14. Pelekoudas-Oikonomou, F., Ribeiro, J.C., Mantas, G., Sakellari, G. and Gonzalez, J., 2023. Prototyping a hyperledger fabric-based security architecture for IoMT-based health monitoring systems. Future Internet, 15(9), p.308.
Design of a Blockchain-based Anomaly-based Intrusion Detection System (AIDS) for IoMT Networks
  • C17. Zachos, Georgios, Pelekoudas-Oikonomou, Filippos, Mantas, Georgios , Porfyrakis, Kyriakos , Sakellari, Georgia and Rodriguez, Jonathan (2023) Design of a Blockchain-based Anomaly-based Intrusion Detection System (AIDS) for IoMT Networks. In: 2023 IEEE 98th Vehicular Technology Conference. VTC2023-Fall: 10th -13th October 2023. Hong Kong. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New York.
Applied Sciences 2023
A Survey on Cyber Risk Management for the Internet of Things
  • J13. Parsons, E.K., Panaousis, E., Loukas, G. and Sakellari, G., 2023. A Survey on Cyber Risk Management for the Internet of Things. Applied Sciences, 13(15), p.9032.
A tutorial on the implementation of a hyperledger fabric-based security architecture for IoMT. In 2023 IFIP Networking Conference (IFIP Networking) (pp. 1-6)
A tutorial on the implementation of a hyperledger fabric-based security architecture for IoMT
  • C16. Pelekoudas-Oikonomou, F., Ribeiro, J., Mantas, G., Bashashi, F., Sakellari, G. and Gonzalez, J., 2023, June. A tutorial on the implementation of a hyperledger fabric-based security architecture for IoMT. In 2023 IFIP Networking Conference (IFIP Networking) (pp. 1-6). IEEE.
IEEE Access 2022
Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned
  • J12.Bravos, G., Cabrera, A.J., Correa, C., Danilovic ́, D., Evangeliou, N., Ezov, G., Gajica, Z., Jakovetic ́, D., Kallipolitis, L., Lukic ́, M., Mascolo, J., Masera, D., Mazo, R., Mezei, I., Miaoudakis, A., Miloševic ́, N., Oliff, W., Robin, J., Smyrlis, M., Sakellari, G., Stamatis, G., Stamenkovic ́, D., Škrbic ́, S., Souveyet, C., Vantolas, S., Vasiliadis, G. and Vukobratovic ́, D., 2022. Cybersecurity for industrial Internet of Things: architecture, models and lessons learned. IEEE Access, 10, 124747-124765.
Computers & Security, 2022
Virtually Secure: A taxonomic assessment of cybersecurity challenges in virtual reality environments
  • J11.Odeleye, B., Loukas, G., Heartfield, R., Sakellari, G., Panaousis, E., & Spyridonis, F., 2022. Virtually Secure: A taxonomic assessment of cybersecurity challenges in virtual reality environments. Computers & Security, 102951.
AppliedSoftComputing, 2021
Transformer-based identification of stochastic information cascades in social networks using text and image similarity
  • J10. Kasnesis, P., Heartfield, R., Liang, X., Toumanidis, L., Sakellari, G., Patrikakis, C. and Loukas, G., 2021. Transformer-based identification of stochastic information cascades in social networks using text and image similarity. Applied Soft Computing, 108, p.107413
2020 IEEE Symposium on Computers and Communications (ISCC), Rennes, France, 2020, pp. 1-7
NeuralPot: An Industrial Honeypot Implementation Based On Deep Neural Networks
  • C15. I. Siniosoglou, G. Efstathopoulos, D. Pliatsios,I. Moscholios, A. Sarigiannidis, G. Sakellari, G. Loukas and P. Sarigiannidis (2020) NeuralPot: an industrial honeypot implementation based on convolutional neural networks. In: 2020 IEEE Symposium on Computers and Communications (ISCC), 2642-7389
SIMPAT, 2019
Dynamic decision support for resource offloading in heterogeneous Internet of Things environments
  • J9. A. Jaddoa, G. Sakellari, E.Panaousis, G. Loukas and P.G. Sarigiannidis. Dynamic decision support for resource offloading in heterogeneous Internet of Things environments. Elsevier SIMPAT, 2019, DOI: 10.1016/j.simpat.2019.102019
IEEE Access, 6, pp.3491-3508, 2018
Cloud-based cyber-physical intrusion detection for vehicles using Deep Learning
  • J8. G. Loukas, T. Vuong, R. Heartfield, G. Sakellari, Y. Yoon, and D. Gan. Cloud-based cyber-physical intrusion detection for vehicles using Deep Learning. IEEE Access, 6, pp.3491-3508, 2018, DOI: 10.1109/ACCESS.2017.2782159
The Simulation Modelling Practice and Theory Journal, 73, pp.83-94, Elsevier, 2016
Computation offloading of a vehicle's continuous intrusion detection workload for energy efficiency and performance
  • J7. G. Loukas, Y. Yoon, G. Sakellari, T. P. Vuong and R. Heartfield. Computation offloading of a vehicle's continuous intrusion detection workload for energy efficiency and performance. The Simulation Modelling Practice and Theory Journal, 73, pp.83-94, Elsevier, 2016, DOI: doi.org/10.1016/j.simpat.2016.08.005
International Symposium on Computer and Information Sciences (ISCIS 2016), pages 163-171, Springer, 2016
Energy-efficiency evaluation of computation offloading in personal computing
  • C14. Y. Yoon, G. Sakellari, R. J. Anthony, A. Filippoupolitis. Energy-efficiency evaluation of computation offloading in personal computing. In proceedings of the International Symposium on Computer and Information Sciences (ISCIS 2016), pages 163-171, Springer, 2016
International Journal of Advanced Intelligence Paradigms (IJAIP), Inderscience, Volume 6, No 1, 2014,
Strengthening the Security of Cognitive Packet Networks
  • J6. R. Lent, G. Sakellari and G. Loukas. Strengthening the Security of Cognitive Packet Networks. International Journal of Advanced Intelligence Paradigms (IJAIP), Inderscience, Volume 6, No 1, 2014, DOI: 10.1504/IJAIP.2014.059584
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A survey of mathematical models, simulation approaches and testbeds used for research in cloud computing
  • J5. G. Sakellari, G. Loukas. A survey of mathematical models, simulation approaches and testbeds used for research in cloud computing. The Simulation Modelling Practice and Theory Journal, Special Issue on “Energy efficiency in Grids and Clouds”, Elsevier, Volume 39, pp. 92-103, December 2013, DOI: 10.1016/j.simpat.2013.04.002
Image 2
Energy-Aware Admission Control for Wired Networks
  • C13. C. Morfopoulou, G. Sakellari, E.Gelenbe. Energy-Aware Admission Control for Wired Networks. In proceedings of the 28th International Symposium on Computer and Information Sciences (ISCIS 2013), pages 117-125, Paris, France, 28-29 October 2013
Image 2
Investigating the Tradeoffs between Power Consumption and Quality of Service in a Backbone Network
  • J4. G. Sakellari, C. Morfopoulou, E. Gelenbe. Investigating the Tradeoffs between Power Consumption and Quality of Service in a Backbone Network. Future Internet, 5(2):268-281, May 2013, DOI: 10.3390/fi5020268
Image 2
Using energy criteria to admit flows in a wired network
  • C12. G. Sakellari, C. Morfopoulou, T. Mahmoodi and E. Gelenbe. Using energy criteria to admit flows in a wired network. In proceedings of the 27th International Symposium on Computer and Information Sciences (ISCIS 2012), pages 63-72, Paris, France, 3-5 October 2012
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PATENT: Admission Control in a Self-Aware Network
  • PA1. E. Gelenbe and G. Sakellari. Admission Control in a Self Aware Network. Filed by BAE systems in a number of countries including USA, UK, Canada, South Africa, 2011
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Computer and Information Science II, 26th International Symposium on Computer and Information Sciences
  • B2. E. Gelenbe, R. Lent, G. Sakellari (Editors). Computer and Information Science II, 26th International Symposium on Computer and Information Sciences. Springer, 2011
Image 2
Performance Evaluation of CPN in the presence of Network Worms
  • J3. G. Sakellari. Performance Evaluation of CPN in the presence of Network Worms, Performance Evaluation, Volume 68, Issue 10, pages 927-937, October 2011, doi:10.1016/j.peva.2011.03.005 (Impact factor: 1.168, 5-Yr impact factor: 1.516)
Image 2
Auction-based Admission Control for Self-Aware Networks
  • C11. G. Sakellari, T. Leung and E. Gelenbe. Auction-based Admission Control for Self-Aware Networks. In proceedings of the 26th International Symposium on Computer and Information Sciences (ISCIS 2011), pages 223-230, London, UK, 26-28 September 2011
Image 2
Computer and Information Science, Proceedings of the 25th International Symposium on Computer and Information Sciences Series: Lecture Notes in Electrical Engineering
  • B1. E. Gelenbe, R. Lent, G. Sakellari, A. Sacan, H. Toroslu, and A. Yazici (Editors). Computer and Information Science, Proceedings of the 25th International Symposium on Computer and Information Sciences Series: Lecture Notes in Electrical Engineering, Volume 62. Springer, 2010
A Distributed Admission Control Mechanism for Multi-Criteria QoS
  • C10. G. Sakellari and E. Gelenbe. A Distributed Admission Control Mechanism for Multi-Criteria QoS. In proceedings of the IEEE Globecom 2010 Workshop on Advances in Communications and Networks (GC Wkshps 2010), pages 1995-1999, Miami, FL, USA, 6-10 December 2010
Image 2
Demonstrating Cognitive Packet Network Resilience to Worm Attacks
  • C9. G. Sakellari and E. Gelenbe. Demonstrating Cognitive Packet Network Resilience to Worm Attacks. In proceedings of the 17th ACM Conference on Computer and Communications Security (CCS 2010), pages 636-638, Chicago, IL, USA, 4-8 October 2010
Image 2
A Decentralised, Measurement-based Admission Control Mechanism for Self-Aware Networks
  • C8. G. Sakellari. A Decentralised, Measurement-based Admission Control Mechanism for Self-Aware Networks. In proceedings of the 25th International Symposium on Computer and Information Sciences (ISCIS 2010), pages 177-182, London, UK, 22-24 September 2010
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The Cognitive Packet Network: A Survey
  • J2. G. Sakellari. The Cognitive Packet Network: A Survey. The Computer Journal: Special Issue on Random Neural Networks, Volume 53, Issue 3, pages 268-279, March 2010, first published online June 2009, doi: 10.1093/comjnl/bxp053 (Impact factor: 1.327, 5-Yr impact factor: 1.147)
Image 2
Adaptive Resilience of CPN in the presence of Network Worms
  • P3. E. Gelenbe and G. Sakellari. Adaptive Resilience of CPN in the presence of Network Worms. Innovative Sensing & Security Technologies, Poster Session, London, UK, February 2009
Image 2
Providing QoS and Resilience in Self Aware Networks
  • P2. E. Gelenbe and G. Sakellari. Providing QoS and Resilience in Self Aware Networks. Poster in the DIF DTC Event for the Ministry of Defence, London, UK, February 2009
Image 2
Adaptive Resilience of the Cognitive Packet Network in the presence of Network Worms
  • C7. G. Sakellari and E. Gelenbe. Adaptive Resilience of the Cognitive Packet Network in the presence of Network Worms. In Proceedings of the NATO Symposium on C3I for Crisis, Emergency and Consequence Management, pages 16:1–16:14, Bucharest, Romania, 11-12 May 2009
Image 2
A Multiple Criteria Admission Control Mechanism for Self-Aware Networks
  • P1. G. Sakellari and E. Gelenbe. A Multiple Criteria Admission Control Mechanism for Self-Aware Networks. Poster session of the Symposium on Perspectives in Modeling and Performance Analysis of Computer Systems and Networks, INRIA Paris-Rocquencourt, France, April 2008
Image 2
A Multiple Criteria, Measurement-Based Admission Control Mechanism for Self-Aware Networks [Best Paper award]
  • C6. G. Sakellari and E. Gelenbe. A Multiple Criteria, Measurement-Based Admission Control Mechanism for Self-Aware Networks. In Proceedings of the 3rd Int. Conf. on Communications and Networking in China (CHINACOM), pages 1060–1064, Hangzhou, China, 25-27 August 2008
Adaptability and Failure Resilience of the Cognitive Packet Network
  • C5. G. Sakellari, L. Hey, and E. Gelenbe. Adaptability and Failure Resilience of the Cognitive Packet Network. Presented at the Demo Session of INFOCOM2008, 15-17 April 2008
Image 2
Admission of QoS Aware Users in a Smart Network
  • J1. E. Gelenbe, G. Sakellari, and M. D' Arienzo. Admission of QoS Aware Users in a Smart Network. ACM Transactions on Autonomous and Adaptive Systems, Volume 3, Issue 1, pages 4:1–4:28, March 2008 (Impact factor: 1.36)
Image 2
Admission of Packet Flows in a Self-Aware Network
  • C4. G. Sakellari, E. Gelenbe, and M. D' Arienzo. Admission of Packet Flows in a Self-Aware Network. In Proceedings of the 4th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS'07), pages 1–6, Pisa, Italy, 8-11 October 2007
Image 2
Controlling Access to Preserve QoS in a Self-Aware Network
  • C3. E. Gelenbe, G. Sakellari, and M. D' Arienzo. Controlling Access to Preserve QoS in a Self-Aware Network. In Proceedings of the First IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pages 205–213, Boston, MA, USA, 9-11 July 2007
Image 2
Admission Control in Self Aware Networks
  • C2. G. Sakellari, M. D' Arienzo, and E. Gelenbe. Admission Control in Self Aware Networks. In Proceedings of the 49th annual IEEE Global Telecommunications Conference (GLOBECOM 2006), pages 1–5, San Francisco, CA, USA, 27 Nov - 1 Dec 2006
Image 2
Admission Control in Self-Aware Networks
  • C1. G. Sakellari. Admission Control in Self-Aware Networks. Proceedings of Multi-Service Networks 06 Talks, Next Generation Networking 2006. Coseners House, Abington, UK, July 13-14, 2006


Publications as a list

  • J17., Javanmardi, S., Sakellari, G., Shojafar, M., Caruso, A., 2024. Why it does not work? Metaheuristic task allocation approaches in Fog-enabled Internet of Drones, Simulation Modelling Practice and Theory. (pdf)
  • J16., Aurangzeb, S., Aleem, M., Khan, M.T., Loukas, G. and Sakellari, G., 2024. AndroDex: Android Dex Images of Obfuscated Malware. Scientific Data, 11(1), p.212. (pdf)
  • J15., Wright, P., Asani, I., Pimenta, N., Chaves, P., Oliff, W. and Sakellari, G., 2023. Infrastructure-Less Prioritized Communication Platform for First Responders. IT Professional, 25(6), pp.29-37. (pdf)
  • J14., Pelekoudas-Oikonomou, F., Ribeiro, J.C., Mantas, G., Sakellari, G., and Gonzalez, J., 2023. Prototyping a hyperledger fabric-based security architecture for IoMT-based health monitoring systems. Future Internet, 15(9), p.308. (pdf)
  • C17., Zachos, G., Pelekoudas-Oikonomou, F., Mantas, G., Porfyrakis, K., Sakellari, G., and Rodriguez, J., 2023. Design of a Blockchain-based Anomaly-based Intrusion Detection System (AIDS) for IoMT Networks. In: 2023 IEEE 98th Vehicular Technology Conference. VTC2023-Fall: 10th -13th October 2023. Hong Kong. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New York.
  • J13., Parsons, E.K., Panaousis, E., Loukas, G. and Sakellari, G., 2023. A Survey on Cyber Risk Management for the Internet of Things. Applied Sciences, 13(15), p.9032. (pdf)
  • C16. Pelekoudas-Oikonomou, F., Ribeiro, J., Mantas, G., Bashashi, F., G. Sakellari, and Gonzalez, J., 2023, June,A tutorial on the implementation of a hyperledger fabric-based security architecture for IoMT. In 2023 IFIP Networking Conference (IFIP Networking) (pp. 1-6). IEEE (pdf)
  • J12.Bravos, G., Cabrera, A.J., Correa, C., Danilovic ́, D., Evangeliou, N., Ezov, G., Gajica, Z., Jakovetic ́, D., Kallipolitis, L., Lukic ́, M., Mascolo, J., Masera, D., Mazo, R., Mezei, I., Miaoudakis, A., Miloševic ́, N., Oliff, W., Robin, J., Smyrlis, M., Sakellari, G., Stamatis, G., Stamenkovic ́, D., Škrbic ́, S., Souveyet, C., Vantolas, S., Vasiliadis, G. and Vukobratovic ́, D., Cybersecurity for industrial Internet of Things: architecture, models and lessons learned. IEEE Access, 10, 124747-124765, 2022 (pdf)
  • J11.Odeleye, B., Loukas, G., Heartfield, R., Sakellari, G., Panaousis, E., & Spyridonis, F., 2022. Virtually Secure: A taxonomic assessment of cybersecurity challenges in virtual reality environments. Computers & Security, 102951, 2022 (pdf)
  • J10.Kasnesis, P., Heartfield, R., Liang, X., Toumanidis, L., Sakellari, G., Patrikakis, C. and Loukas, G.,Transformer-based identification of stochastic information cascades in social networks using text and image similarity. Applied Soft Computing, 108, p.107413, 2021 (pdf)
  • C15. I. Siniosoglou, G. Efstathopoulos, D. Pliatsios,I. Moscholios, A. Sarigiannidis, G. Sakellari, G. Loukas and P. Sarigiannidis (2020) NeuralPot: an industrial honeypot implementation based on convolutional neural networks. In: 2020 IEEE Symposium on Computers and Communications (ISCC), 2642-7389,2020 (pdf)
  • J9. A. Jaddoa, G. Sakellari, E.Panaousis, G. Loukas and P.G. Sarigiannidis. Dynamic decision support for resource offloading in heterogeneous Internet of Things environments. Elsevier SIMPAT, 2019, DOI: 10.1016/j.simpat.2019.102019 (pdf)
  • J8. G. Loukas, T. Vuong, R. Heartfield, G. Sakellari, Y. Yoon, and D. Gan. Cloud-based cyber-physical intrusion detection for vehicles using Deep Learning. IEEE Access, 6, pp.3491-3508, 2018, DOI: 10.1109/ACCESS.2017.2782159 (pdf)
  • J7. G. Loukas, Y. Yoon, G. Sakellari, T. P. Vuong and R. Heartfield. Computation offloading of a vehicle's continuous intrusion detection workload for energy efficiency and performance. The Simulation Modelling Practice and Theory Journal, 73, pp.83-94, Elsevier, 2016, DOI: doi.org/10.1016/j.simpat.2016.08.005 (pdf)
  • C14. Y. Yoon, G. Sakellari, R. J. Anthony, and A. Filippoupolitis. Energy-efficiency evaluation of computation offloading in personal computing. In proceedings of the International Symposium on Computer and Information Sciences (ISCIS 2016), pages 163-171, Springer, 2016 (pdf)
  • J6. R. Lent, G. Sakellari and G. Loukas. Strengthening the Security of Cognitive Packet Networks. International Journal of Advanced Intelligence Paradigms (IJAIP), Inderscience, Volume 6, No 1, 2014, DOI: 10.1504/IJAIP.2014.059584 (pdf)
  • J5. G. Sakellari, G. Loukas. A survey of mathematical models, simulation approaches and testbeds used for research in cloud computing. The Simulation Modelling Practice and Theory Journal, Special Issue on “Energy efficiency in Grids and Clouds”, Elsevier, Volume 39, pp. 92-103, December 2013, DOI: 10.1016/j.simpat.2013.04.002 (pdf)
  • C13. C. Morfopoulou, G. Sakellari, E.Gelenbe. Energy-Aware Admission Control for Wired Networks. In proceedings of the 28th International Symposium on Computer and Information Sciences (ISCIS 2013), pages 117-125, Paris, France, 28-29 October 2013 (pdf)
  • J4. G. Sakellari, C. Morfopoulou, E. Gelenbe. Investigating the Tradeoffs between Power Consumption and Quality of Service in a Backbone Network. Future Internet, 5(2):268-281, May 2013, DOI: 10.3390/fi5020268 (pdf)
  • C12. G. Sakellari, C. Morfopoulou, T. Mahmoodi and E. Gelenbe. Using energy criteria to admit flows in a wired network. In proceedings of the 27th International Symposium on Computer and Information Sciences (ISCIS 2012), pages 63-72, Paris, France, 3-5 October 2012 (pdf)
  • PA1. E. Gelenbe and G. Sakellari. Admission Control in a Self Aware Network. Filed by BAE systems in a number of countries including USA, UK, Canada, South Africa, 2011 (pdf)
  • B2. E. Gelenbe, R. Lent, G. Sakellari (Editors). Computer and Information Science II, 26th International Symposium on Computer and Information Sciences. Springer, 2011 (pdf)
  • J3. G. Sakellari. Performance Evaluation of CPN in the presence of Network Worms, Performance Evaluation, Volume 68, Issue 10, pages 927-937, October 2011, doi:10.1016/j.peva.2011.03.005 (Impact factor: 1.168, 5-Yr impact factor: 1.516) (pdf)
  • C11. G. Sakellari, T. Leung and E. Gelenbe. Auction-based Admission Control for Self-Aware Networks. In proceedings of the 26th International Symposium on Computer and Information Sciences (ISCIS 2011), pages 223-230, London, UK, 26-28 September 2011 (pdf)
  • B1. E. Gelenbe, R. Lent, G. Sakellari, A. Sacan, H. Toroslu, and A. Yazici (Editors). Computer and Information Science, Proceedings of the 25th International Symposium on Computer and Information Sciences Series: Lecture Notes in Electrical Engineering, Volume 62. Springer, 2010 (pdf)
  • C10. G. Sakellari and E. Gelenbe. A Distributed Admission Control Mechanism for Multi-Criteria QoS. In proceedings of the IEEE Globecom 2010 Workshop on Advances in Communications and Networks (GC Wkshps 2010), pages 1995-1999, Miami, FL, USA, 6-10 December 2010 (pdf)
  • C9. G. Sakellari and E. Gelenbe. Demonstrating Cognitive Packet Network Resilience to Worm Attacks. In proceedings of the 17th ACM Conference on Computer and Communications Security (CCS 2010), pages 636-638, Chicago, IL, USA, 4-8 October 2010 (pdf)
  • C8. G. Sakellari. A Decentralised, Measurement-based Admission Control Mechanism for Self-Aware Networks. In proceedings of the 25th International Symposium on Computer and Information Sciences (ISCIS 2010), pages 177-182, London, UK, 22-24 September 2010 (pdf)
  • J2. G. Sakellari. The Cognitive Packet Network: A Survey. The Computer Journal: Special Issue on Random Neural Networks, Volume 53, Issue 3, pages 268-279, March 2010, first published online June 2009, doi: 10.1093/comjnl/bxp053 (Impact factor: 1.327, 5-Yr impact factor: 1.147) (pdf)
  • P3. E. Gelenbe and G. Sakellari. Adaptive Resilience of CPN in the presence of Network Worms. Innovative Sensing & Security Technologies, Poster Session, London, UK, February 2009 (pdf)
  • P2. E. Gelenbe and G. Sakellari. Providing QoS and Resilience in Self Aware Networks. Poster in the DIF DTC Event for the Ministry of Defence, London, UK, February 2009 (pdf)
  • C7. G. Sakellari and E. Gelenbe. Adaptive Resilience of the Cognitive Packet Network in the presence of Network Worms. In Proceedings of the NATO Symposium on C3I for Crisis, Emergency and Consequence Management, pages 16:1–16:14, Bucharest, Romania, 11-12 May 2009 (pdf)
  • P1. G. Sakellari and E. Gelenbe. A Multiple Criteria Admission Control Mechanism for Self-Aware Networks. Poster session of the Symposium on Perspectives in Modeling and Performance Analysis of Computer Systems and Networks, INRIA Paris-Rocquencourt, France, April 2008 (pdf)
  • C6. G. Sakellari and E. Gelenbe. A Multiple Criteria, Measurement-Based Admission Control Mechanism for Self-Aware Networks. In Proceedings of the 3rd Int. Conf. on Communications and Networking in China (CHINACOM), pages 1060–1064, Hangzhou, China, 25-27 August 2008. Best Paper Award (pdf)
  • C5. G. Sakellari, L. Hey, and E. Gelenbe. Adaptability and Failure Resilience of the Cognitive Packet Network. Presented at the Demo Session of INFOCOM2008, 15-17 April 2008 (pdf)
  • J1. E. Gelenbe, G. Sakellari, and M. D' Arienzo. Admission of QoS Aware Users in a Smart Network. ACM Transactions on Autonomous and Adaptive Systems, Volume 3, Issue 1, pages 4:1–4:28, March 2008 (Impact factor: 1.36) (pdf)
  • C4. G. Sakellari, E. Gelenbe, and M. D' Arienzo. Admission of Packet Flows in a Self-Aware Network. In Proceedings of the 4th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS'07), pages 1–6, Pisa, Italy, 8-11 October 2007 (pdf)
  • C3. E. Gelenbe, G. Sakellari, and M. D' Arienzo. Controlling Access to Preserve QoS in a Self-Aware Network. In Proceedings of the First IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pages 205–213, Boston, MA, USA, 9-11 July 2007 (pdf)
  • C2. G. Sakellari, M. D' Arienzo, and E. Gelenbe. Admission Control in Self Aware Networks. In Proceedings of the 49th annual IEEE Global Telecommunications Conference (GLOBECOM 2006), pages 1–5, San Francisco, CA, USA, 27 Nov - 1 Dec 2006 (pdf)
  • C1. G. Sakellari. Admission Control in Self-Aware Networks. Proceedings of Multi-Service Networks 06 Talks, Next Generation Networking 2006. Coseners House, Abington, UK, July 13-14, 2006 (link)

Contact info

  • QM363, Department of Computing and Information Systems Faculty of Architecture, Computing and Humanities, University of Greenwich, Old Royal Naval College, Park Row, London, SE10 9LS, UK, NW4 4BT

  • Phone: (+44) (0)20 8331 8548

  • Email: G [(dot)] Sakellari [(at)] Gre [(dot)] ac [(dot)] uk

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