[HTML][HTML] Cyber risk and cybersecurity: a systematic review of data availability
Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020,
indicating an increase of more than 50% since 2018. With the average cyber insurance …
indicating an increase of more than 50% since 2018. With the average cyber insurance …
Anomaly search over discrete composite hypotheses in hierarchical statistical models
Detection of anomalies among a large number of processes is a fundamental task that has
been studied in multiple research areas, with diverse applications spanning from spectrum …
been studied in multiple research areas, with diverse applications spanning from spectrum …
Sequential anomaly detection under sampling constraints
A Tsopelakos, G Fellouris - IEEE Transactions on Information …, 2022 - ieeexplore.ieee.org
The problem of sequential anomaly detection is considered, where multiple data sources
are monitored in real time and the goal is to identify the “anomalous” ones among them …
are monitored in real time and the goal is to identify the “anomalous” ones among them …
Deep multi-agent reinforcement learning for decentralized active hypothesis testing
H Szostak, K Cohen - IEEE Access, 2024 - ieeexplore.ieee.org
We consider a decentralized formulation of the active hypothesis testing (AHT) problem,
where multiple agents gather noisy observations from the environment with the purpose of …
where multiple agents gather noisy observations from the environment with the purpose of …
Quickest Change Detection With Controlled Sensing
VV Veeravalli, G Fellouris… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
In the problem of quickest change detection, a change occurs at some unknown time in the
distribution of a sequence of random vectors that are monitored in real time, and the goal is …
distribution of a sequence of random vectors that are monitored in real time, and the goal is …
Quickest change detection with controlled sensing
G Fellouris, VV Veeravalli - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In the problem of quickest change detection, a change occurs at some unknown time in the
distribution of a sequence of random vectors that are monitored in real time, and the goal is …
distribution of a sequence of random vectors that are monitored in real time, and the goal is …
Searching for unknown anomalies in hierarchical data streams
We consider the problem of anomaly detection among a large number of processes, where
the probabilistic models of anomalies are unknown. At each time, aggregated noisy …
the probabilistic models of anomalies are unknown. At each time, aggregated noisy …
Suppressing the impact of the COVID-19 pandemic using controlled testing and isolation
The Corona virus disease has significantly affected lives of people around the world.
Existing quarantine policies led to large-scale lock-downs because of the slow tracking of …
Existing quarantine policies led to large-scale lock-downs because of the slow tracking of …
Anomaly search with multiple plays under delay and switching costs
T Lambez, K Cohen - IEEE Transactions on Signal Processing, 2021 - ieeexplore.ieee.org
The problem of searching for anomalous processes among processes is considered. At
each time, the decision maker can observe a subset of processes (ie, multiple plays). The …
each time, the decision maker can observe a subset of processes (ie, multiple plays). The …
Decentralized anomaly detection via deep multi-agent reinforcement learning
H Szostak, K Cohen - 2022 58th Annual Allerton Conference …, 2022 - ieeexplore.ieee.org
We consider a decentralized anomaly detection problem, where multiple agents collaborate
to localize a single anomalous process among a finite number M of processes. At each time …
to localize a single anomalous process among a finite number M of processes. At each time …