Real-time autonomous multi resolution visual surveys based on seafloor scene complexity

This paper describes a method to optimize the spatial resolution of image surveys based on the spatial scale of features on the seafloor that are not known prior to observation. The method makes use of the density of visual features as a measure of the complexity of a seafloor image. In order to achieve this, two approaches to assess scene complexity we investigated. The performance of the method was verified using seafloor imagery obtained in the Iheya North field in the Okinawa Trough. The results demonstrate that it is effective for a large range of feature sizes

DomainPrio: Prioritizing Domain Name Investigations to Improve SOC Efficiency

Security Operations Centers (SOCs) are in need of automation for triaging alerts. Current approaches focus on analyzing and enriching individual alerts. We take a different approach and analyze the population of alerts. In an observational study over 24 weeks, we find a surprising pattern: some domains get analyzed again and again by different analysts, without coming to a final evaluation. Overall, 19% of the domains trigger 74% of all investigations. The most time-consuming domains are classified as false positives and 'potentially unwanted programs' - the lowest threat level. To increase SOC efficiency, we design DomainPrio, a tool that prioritizes domains that are likely to be the subject of repeated, incomplete investigations. This enables us to indicate to the first analyst encountering this domain that the investigation should be, if possible, completed on this first attempt, so future investigations on the same domain can be prevented. DomainPrio is able to predict these domains with 89% accuracy and does so with an interpretable and auditable logistic regression model. When evaluating our tool on 100 days of data from a production setting, we find that it can potentially reduce the number of alert investigations by up to 35%, presenting the SOC with very substantial efficiency gains.Organisation and Governanc

Coincidence of Large Adrenal Cyst and Prominent Hyporeninemic Hyperaldosteronism

A 67-year-old Japanese woman who had end-stage renal disease was referred to our hospital for kidney transplantation. Abdominal CT revealed a large adrenal mass with inhomogeneity. She had a history of hospitalization for stroke and heart failure and exhibited prominent hyporeninemic hyperaldosteronism. Histological examination of the resected tumor with anti-CYP11B2 antibody indicated that she had a vascular endothelial cyst with primary aldosteronism (PA) due to multiple adrenocortical micronodules. This report implicates the pathological interaction between adrenal vascular cysts and PA-mediated vascular damage of the adrenal vein