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Found 6 papers, 4 papers with code
A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection
Anomaly-based intrusion detection promises to detect novel or unknown attacks on industrial control systems by modeling expected system behavior and raising corresponding alarms for any deviations. As manually creating these behavioral models is tedious and error-prone, research focuses on machine learning to train them automatically, achieving detection rates upwards of 99%.
A novel receiver design for energy packet-based dispatching
By means of a DC grid example, simulation results show the performance and applicability of the proposed novel receiver for packet-based energy dispatching.
Symbolic Partial-Order Execution for Testing Multi-Threaded Programs
It represents program executions using partial orders and finds the next execution using an underlying unfolding semantics.
Programming Languages Software Engineering
How to Securely Prune Bitcoin's Blockchain
Bitcoin was the first successful decentralized cryptocurrency and remains the most popular of its kind to this day.
Cryptography and Security Networking and Internet Architecture
Utilizing Public Blockchains for the Sybil-Resistant Bootstrapping of Distributed Anonymity Services
Distributed anonymity services, such as onion routing networks or cryptocurrency tumblers, promise privacy protection without trusted third parties.
Cryptography and Security Networking and Internet Architecture
DeePCCI: Deep Learning-based Passive Congestion Control Identification
We present DeePCCI, a passive, deep learning-based congestion control identification approach which does not need any domain knowledge other than training traffic of a congestion control variant.
