Savvas Kastanakis – Systems & Security Group (SSG)

About Me

Savvas Kastanakis received the Diploma in Telecommunications and Networks and in Distributed Computer Systems from the Computer Science Department, University of Crete, Greece.

He was a graduate student researcher at FORTH, Greece, and currently pursues a Ph.D at the School of Computing and Communications, Lancaster University, UK, under the supervision of Prof. Neeraj Suri and Dr. Vasileios Giotsas.

Research Interests

Communication Networks
Internet of Things
Network Security

Distinctions and Awards

Won second place in the 1st ACM SIGCOMM Hackathon, 2018
Received an honourable mention award for the paper “Content Recommendation and QoE: An Experimental Study on the Role of QoS Towards Video Preferences”, published in the 18th WPerformance – Workshop on Computing and Communication Systems Performance, SBC

Publications

S. Kastanakis, P. Sermpezis, V. Kotronis, D. Menasché, T. Spyropoulos. “Network-Aware Recommendations in the Wild: Methodology, Realistic Evaluations, Experiments”, in IEEE Transactions on Mobile Computing, vol. 21, no. 7, pp. 2466-2479, 1 July 2022, doi: 10.1109/TMC.2020.3042606 (https://ieeexplore.ieee.org/document/9281319)
P. Sermpezis, S. Kastanakis, J. Pinheiro, F. Assis, M. Nogueira, D. Menasché and T. Spyropoulos. “Towards QoS-Aware Recommendations”, in Proceedings of the 2020 ACM RecSys Workshop on Context-Aware Recommender Systems (CARS 2.0 ’20), pdf
F. Assis, M. Nogueira, D. Menasche, J. Pinheiro, P. Sermpezis, S. Kastanakis, T.Spyropoulos, C. Delgado. “Content Recommendation and QoE: An Experimental Study on the Role of QoS Towards Video Preferences”, in Proceedings of the 2019 XVIII Workshop on Performance of Computer and Communication Systems, SBC
S. Kastanakis, P. Sermpezis, V. Kotronis, X. Dimitropoulos. “CABaRet: Leveraging Recommendation Systems for Mobile Edge Caching”, in Proceedings of the 2018 ACM SIGCOMM Workshop on Mobile Edge Communications (MECOMM ’18), pdf
[Poster Session] S. Kastanakis, M. Nogueira, F. Assis, P. Sermpezis, D. Menasche, T. Spyropoulos. “Towards QoS-friendly Content Recommendations: An Experimental Framework”, 2018 ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT ’18)

News & Events
IEEE TFS’24 Y. Li et al, Adversarial Attack Detection via Fuzzy Predictions. pdf
ECCV’24 Y. Li et al, Self-Supervised Representation Learning for Adversarial Attack Detection. pdf
ANRW '24 S. Kastanakis et al, Investigating Location-Aware Advertisements in Anycast IP Networks. pdf
IJCNN '24 Y. Li et al, Rethinking Self-Supervised Learning for Cross-Domain Adversarial Sample Recovery. pdf
ICANN '24 Y. Li et al, Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. pdf
IJCNN '24 A. Pellcier et al, UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification. pdf
NFM '24 O. Gunasekera et al, Real Arithmetic in TLAPM. pdf
IEEE TCC S. Manzoor et al, Enabling Multi-Layer Threat Analysis in Dynamic Cloud Environments. pdf
arXiv S. Winter et al, Error Propagation Analysis for Multithreaded Programs: An Empirical Approach. pdf
Springer Open’24 E. Chuah et al, An Empirical Study of Reflection Attacks Using NetFlow Data. pdf
Space Policy’23 V. Varadharajan et al, Security Challenges When Space Merges With Cyberspace. pdf
LANMAN’23 S. Rene et al, Scalable Content-centric Routing for Hybrid ICN. pdf
DAPPS’23 N. Keizer et al, Ditto: Towards Decentralised Similarity Search for Web3 Services. pdf
IMC’23 L. Balduf et al, The Cloud Strikes Back: Investigating the Decentralization of IPFS. pdf
CAMLIS’23 S. Trawicki et al, Compilation as a Defense: Enhancing DL Model Attack Robustness via Tensor Optimization. pdf
CAMLIS’23 L. Birch et al, Model Leeching: An Extraction Attack Targeting LLMs. pdf
SSCI’23 Y. Li et al, Fuzzy Detectors Against Adversarial Attacks. pdf
IMC’23 S. Kastanakis et al, 20 Years of Inferring Inter-domain Routing Policies. pdf
DASC’23 B. Yuksek et al, Federated Meta Learning for Visual Navigation in GPS-denied Urban Airspace. pdf
NDSS’24 S. Sridhar et al, Content Censorship in the InterPlanetary File System. pdf
MASS’23 Z. Yu et al, RAFL: A Robust and Adaptive Federated Meta-Learning Framework Against Adversaries. pdf
TOPS’23 Y. Lu et al, Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph. pdf
T-ASE’23 Y. Lu et al, Transactive Energy System Deployment over Insecure Communication Links. pdf
IJCNN’23 Y. Li et al, Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection. pdf
CyBok: SSG Prof. Suri defines NCSC’s CyBOK knowledge area on Distributed Systems Security
Prof. Suri to lead LU's ACE-CSE
Security Institute to lead £3M UKRI-TAS research node to examine cybersecurity in autonomous systems.^New
MSN'22 Best Paper Award for Z. Yu et al, PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework
ICNC '23: A. Taha et al, Cloud Security Requirement Based Threat Analysis, to appear.
MSN'22: Z. Yu et al, PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework. pdf
CIDUE/SSCI'22: E. Soares et al, Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. pdf
ISSRE'22: Y. Chen et al, SlowCoach: Mutating Code to Simulate Performance Bugs. pdf
FGCS'22: M. Bradbury et al, Information Management for Trust Computation on Resource-constrained IoT Devices. pdf
ToSN'22: M. Bradbury et al, Threat Modelling Guided Trust-based Task Offloading for Resource-constrained Internet of Things. pdf
NCA'21: E. Chuah et al, Challenges in Identifying Network Attacks Using Netflow Data. pdf
COSE'21: B. Green et al, PCaaD: Towards automated determination and exploitation of industrial systems. pdf