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Jan 17, 2018
Cryptography and Security

M-STAR: A Modular, Evidence-based Software Trustworthiness Framework

Despite years of intensive research in the field of software vulnerabilities discovery, exploits are becoming ever more common. Consequently, it is m…
Nov 29, 2019
Artificial Intelligence
Machine Learning

DeepAlign: Alignment-based Process Anomaly Correction using Recurrent…

In this paper, we propose DeepAlign, a novel approach to multi-perspective process anomaly correction, based on recurrent neural networks and bidirec…
Mar 03, 2018
Artificial Intelligence

Analyzing Business Process Anomalies Using Autoencoders

Businesses are naturally interested in detecting anomalies in their internal processes, because these can be indicators for fraud and inefficiencies.…
May 09, 2019
Cryptography and Security

TRIDEnT: Building Decentralized Incentives for Collaborative Security

Sophisticated mass attacks, especially when exploiting zero-day vulnerabilities, have the potential to cause destructive damage to organizations and …
Feb 08, 2019
Artificial Intelligence

BINet: Multi-perspective Business Process Anomaly Classification

In this paper, we introduce BINet, a neural network architecture for real-time multi-perspective anomaly detection in business process event logs. BI…
Apr 01, 2020
Machine Learning

Anomaly Detection in Univariate Time-series: A Survey on the State-…

Anomaly detection for time-series data has been an important research field for a long time. Seminal work on anomaly detection methods has been focus…
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