Magnus Almgren
Magnus Almgren is an associate professor at Chalmers university of technology in the department of computer science and engineering, Sweden. His research interests include system security, in particular intrusion detection systems, machine learning in security, and security suitable for IoT and other types of cyber-physical systems.
Visar 82 publikationer
Gridchain: an investigation of privacy for the future local distribution grid
Security-Enhancing Digital Twins: Characteristics, Indicators, and Future Perspectives
Scheduling to the Rescue; Improving ML-Based Intrusion Detection for IoT
Gap analysis of ISO/SAE 21434 – Improving the automotive cybersecurity engineering life cycle
Clipaha: A Scheme to Perform Password Stretching on the Client
MicroTL: Transfer Learning on Low-Power IoT Devices
MiniLearn: On-Device Learning for Low-Power IoT Devices
V2C: A Trust-Based Vehicle to Cloud Anomaly Detection Framework for Automotive Systems
Proposing HEAVENS 2.0 – an automotive risk assessment model
Spectra: Detecting Attacks on In-Vehicle Networks through Spectral Analysis of CAN-Message Payloads
Performance of deep neural networks on low-power IoT devices
A Scalable Specification-Agnostic Multi-Sensor Anomaly Detection System for IIoT Environments
TinyEVM: Off-Chain Smart Contracts on Low-Power IoT Devices
AUTOSAR Embedded Security in Vehicles
Delegation sketch: A parallel design with support for fast and accurate concurrent operations
BES: Differentially Private Event Aggregation for large-scale IoT-based Systems
Intrusion Detection in Industrial Networks via Data Streaming
Co-Evaluation of Pattern Matching Algorithms on IoT Devices with Embedded GPUs
CASAD: CAN-Aware Stealthy-Attack Detection for In-Vehicle Networks
RICS-el: Building a national testbed for research and training on SCADA security (short paper)
Model-Free Detection of Cyberattacks on Voltage Control in Distribution Grids
Geometric Monitoring in Action: a Systems Perspective for the Internet of Things
Analysis of door openings of refrigerated display cabinets in an operational supermarket
Understanding Common Automotive Security Issues and Their Implications
Performance of Secure Boot in Embedded Systems
IoTLogBlock: Recording Off-line Transactions of Low-Power IoT Devices Using a Blockchain
Continuous Monitoring meets Synchronous Transmissions and In-Network Aggregation
Data Modelling for Predicting Exploits
What the Stack? On Memory Exploitation and Protection in Resource Constrained Automotive Systems
Truth Will Out: Departure-Based Process-Level Detection of Stealthy Attacks on Control Systems
CLort: High Throughput and Low Energy Network Intrusion Detection on IoT Devices with Embedded GPUs
eChIDNA: Continuous Data Validation in Advanced Metering Infrastructures
The Nuts and Bolts of Deploying Process-Level IDS in Industrial Control Systems
Multiple Pattern Matching for Network Security Applications: Acceleration through Vectorization
Adapting Threat Modeling Methods for the Automotive Industry
BES - Differentially Private and Distributed Event Aggregation in Advanced Metering Infrastructures
Detecting Non-Technical Energy Losses through Structural Periodic Patterns in AMI data
Harnessing the unknown in advanced metering infrastructure traffic
Online Temporal-Spatial Analysis for Detection of Critical Events in Cyber-Physical Systems
METIS: a Two-Tier Intrusion Detection System for Advanced Metering Infrastructures
A study on data de-pseudonymization in the smart grid
Online and scalable data validation in advanced metering infrastructures
Detection of intrusions and malware, and vulnerability assessment
Cybersecurity and Data Management in the Smart Grid
Managing your Trees: Insights from a Metropolitan-Scale Low-Power Wireless Network
METIS: A two-tier intrusion detection system for advanced metering infrastructures
When Smart Cities meet Big Data
T-Fuzz: Model-based fuzzing for robustness testing of telecommunication protocols
Seventh European Conference on Computer Network Defence (EC2ND)
Managing your Trees: Insights from a Metropolitan-Scale Low-Power Wireless Network
Algorithms and Data Handling Towards Adaptive and Robust Electricity Networks
Cybersecurity in the Smart Grid
Analysis of the Impact of Data Granularity on Privacy for the Smart Grid
Remote control of smart meters: friend or foe?
Tracking Malicious Hosts on a 10Gbps Backbone Link
Emerging and Future Cyber Threats to Critical Systems
On Collection of Large-Scale Multi-Purpose Datasets on Internet Backbone Links
Mapping Systems Security Research at Chalmers
Security Arena, årsrapport 2009
Forward White Book: Emerging ICT Threats
FORWARD -- Second Workshop Report
Security Arena, årsrapport 2008
Investigating the Benefits of Using Multiple Intrusion-Detection Sensors
A Multi-Sensor Model to Improve Automated Attack Detection
A Comparison of Alternative Audit Sources for Web Server Attack Detection
Tuning an IDS - Learning the User's Preferences
Using Active Learning in Intrusion Detection
Recent Advances in Intrusion Detection: 7th International Symposium, RAID 2004
Implications of IDS Classification on Attack Detection
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Visar 15 forskningsprojekt
RICS2: Säkra IT-system för drift och övervakning av samhällskritisk infrastruktur
INDEED: Information and Data-processing in Focus for Energy Efficiency
RIOT: Ett resilient sakernas internet
KIDSAM: Kunskap- och informationssdelning i digitala samverkansprojekt
Big Data Processing in the context of Smart Buildings,
Säkra IT-system för drift och övervakning av samhällskritisk infrastruktur
Utveckling och anpassning av modern metodik för effektivt lärande av datasäkerhet
Examine –- Extracting useful information out of data in AMI networking
Storskalig dataanalys från Internet of Things för att möjliggöra framtidens hållbara stad
Utvecklande av dataalgoritmer för nätverk för att stärka anpassningsbarhet och robusthet i elnät
CRitical Infrastructure Security AnaLysIS (CRISALIS)