The division Cybersecurity is part of the Department of Computer and Information Science. The division conducts research and education in cybersecurity and consists of four research groups.
Magnus Johansson
The division has around 40 employees and consists of four research groups:
For a presentation of each research group, see below.
This group conducts research on air security including manned air communication systems and drone identification and communication, as well as ground IT security including industrial internet, smartgrids, security and monitoring of vehicular systems (cars, ships, rails) and 6G.
The group is led by Andrei Gurtov, Professor.
This group performs research on communication networks, such as semantics-aware goal-oriented communications, timeliness of information, tactile internet, wireless energy harvesting networks, performance analysis and stochastic modeling, and physical layer security. An important research direction is how to utilize the traffic properties and characteristics to increase the performance of wireless networks by reducing the amount of information that is generated, transmitted, and processed in a network. Typical examples include content caching and timing properties and requirements of traffic, which are crucial aspects towards 6G communications.
The group is led by Nikolaos Pappas, Associate Professor.
We focus on getting the right information to the right people at the right time. Information security is an important part of this aim: for a system to be trusted, it must also be secure.
Research within this group is done on a broad range of topics, spanning security, networks, and related areas such as performance evaluation and multimedia systems.
The group is led by Niklas Carlsson, Professor.
Dependable systems and networks, including reliability, safety and security, resource efficiency with respect to computation capacity, memory, bandwidth and energy.
The group is led by Mikael Asplund, Senior Associate Professor.
DYNACON: DYNamic Attack detection and mitigation for seCure AutONomy. Protect autonomous systems from cyber-attacks targeting control systems.
For more information about the project, please follow the link NEST-Project DYNACON
PI at Linköping University: Andrei Gurtov, Professor.
SOURCE: Secure Operation of Uncontrolled and Reliable Computing on the Edges. Generative AI to ensure secure operation in dynamic edge scenarios.
For more information about the project, please follow the link NEST-project SOURCE
Co-PI:s at Linköping University Mikael Asplund and Fredrik Heintz
Toward Goal-Oriented Communication in Multi-Agent Systems: An Overview
IEEE Open Journal of the Communications Society, Vol. 7, p. 6576-6611
(Article in journal)
https://dx.doi.org/10.1109/OJCOMS.2026.3703748
Timing Interference in Multi-core RISC-V Systems: Security Risks and Mitigations
SECURE IT SYSTEMS, NORDSEC 2025, p. 307-325
(Conference paper)
https://dx.doi.org/10.1007/978-3-032-14782-0_17
Feature-Based Semantics-Aware Scheduling for Energy-Harvesting Federated Learning
(Conference paper)
Quantifying the Performance Gap for Simple Versus Optimal Dynamic Server Allocation Policies
IEEE Transactions on Cloud Computing, Vol. 14, p. 791-805
(Article in journal)
https://dx.doi.org/10.1109/TCC.2026.3672446
Understanding security risks in update mechanisms of computing systems
Computers & Security, Vol. 170, Article 105019
(Article in journal)
https://dx.doi.org/10.1016/j.cose.2026.105019
On the Suitability of Federated Learning Algorithms for Intrusion Detection
Proceedings of the International Workshop on Secure and Efficient Federated Learning, p. 1-6, Article 4
(Conference paper)
https://dx.doi.org/10.1145/3803630.3809168
Semantics-Aware Unified Terrestrial Non-Terrestrial 6G Networks
IEEE Communications Magazine
(Article in journal)
https://dx.doi.org/10.1109/MCOM.001.2500615
QoE Prediction of Encrypted Video Traffic forInteractive and Impatient Streaming Users
(Conference paper)
Secure Mobility and Authentication Protocols in Heterogeneous Aviation Data Networks
(Doctoral thesis, comprehensive summary)
https://dx.doi.org/10.3384/9789181185690
Sentiment-Driven Differential Engagement: Hyperpartisan Vs. Non-hyperpartisan Users on X
Social Networks Analysis and Mining: 17th International Conference, ASONAM 2025, Niagara Falls, ON, Canada, August 25–28, 2025, Proceedings, Part II, p. 101-118, Article 10
(Conference paper)
https://dx.doi.org/10.1007/978-3-032-13821-7_10
