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Prediction of Ventricular Tachycardia One Hour before Occurrence Using Artificial Neural Networks
TLDR
An early prediction model that can predictentricular tachycardia one hour before its onset is developed using an artificial neural network (ANN) generated using 14 parameters obtained from heart rate variability (HRV) and respiratory rates variability (RRV) analysis. Expand
Leveraging State Information for Automated Attack Discovery in Transport Protocol Implementations
TLDR
A new method is presented for finding attacks in unmodified transport protocol implementations using the specification of the protocol state machine to reduce the search space of possible attacks by appling malicious actions to all packets of the same type observed in the same state. Expand
Gatling: Automatic Attack Discovery in Large-Scale Distributed Systems
TLDR
Gatling is a framework that automatically finds performance attacks caused by insider at- tackers in large-scale message-passing distributed systems, by using a type- aware compiler and design a greedy search algorithm that finds attacks consisting of a subset of these actions. Expand
Turret: A Platform for Automated Attack Finding in Unmodified Distributed System Implementations
TLDR
Turret is presented, a platform for automatically finding performance attacks in unmodified implementations of distributed systems and uses a new attack finding algorithm and several optimizations that allow it to find attacks in a matter of minutes. Expand
Adversarial testing of wireless routing implementations
TLDR
This work extends an existing platform, Turret, designed for general distributed systems, to address the specifics of wireless routing protocols, and adds functionality to differentiate routing messages from data messages and support wireless specific attacks such as blackhole and wormhole, or routing attackssuch as replay attacks. Expand
InContext: simple parallelism for distributed applications
TLDR
This paper develops a prototype implementation of the abstract execution model of a declarative programming model based on contexts, which allows programmers to specify the sharing behavior of event handlers, and shows that distributed applications written in the model can be automatically and efficiently parallelized. Expand
Early prediction of ventricular tachyarrhythmias based on heart rate variability analysis
TLDR
Predicting VTAs earlier than an hour using parameters from HRV analysis and artificial neural network (ANN) models showed a significantly high accuracy. Expand
Design and implementation of skiplist-based key-value store on non-volatile memory
TLDR
The results show that the design outperforms the original tree-based, non-volatile key-value stores up to 48% and a multiranged variant of NV-Skiplist is proposed to increase its search performance and scalability. Expand
Enabling online geospatial isotopic model development and analysis
TLDR
The design and implementation of IsoMAP is described - a gateway for Isoscapes (isotopic landscapes) modeling, analysis and prediction, and an online workspace that helps researchers access and integrate a number of disparate and diverse datasets. Expand
A platform for finding attacks in unmodified implementations of intrusion tolerant systems
TLDR
Turret, a platform for automatically find performance attacks in unmodified implementations of intrusion tolerant systems, leverages virtualization to run the user-specified operating system and intrusion tolerant system binary and uses a well-known network emulator to tunnel the network traffic. Expand
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