The dataset contains intrusion detection alerts obtained via an alert sharing platform (SABU) for one week. A plethora of heterogeneous intrusion detection systems deployed across several organizations contributed to the sharing platform. The alerts are stored in the intrusion Detection Extensible Alert (IDEA) format and categorized using the eCSIRT.net Incident Taxonomy. Dataset can be used in several areas of cybersecurity research for the analysis of intrusion detection alerts including temporal and spatial correlations, reputation scoring, attack scenario reconstruction, and attack projection. The network identifiers (e.g., IP addresses, hostnames) are anonymized. However, the list of interesting features (e.g., presence on blacklists, geolocation) of such entities at the time of data collection is provided.
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http://dx.doi.org/10.1016/j.dib.2020.106530 | DOI Listing |
Monaldi Arch Chest Dis
January 2025
Cardiology Department, Local Health Unit of Alto Ave, Guimarães.
Multivalvular endocarditis (MVE) is an uncommon presentation and mostly involves mitral and aortic valves. Here, we present a case of an MVE with an unusual and bizarre presentation on a Halloween night with a massive degree of valve destruction and right- and left-side involvement requiring emergent surgery. A 51-year-old male patient with intravenous drug usage presented with anorexia, fever, and dyspnea, rapidly progressing to septic shock with multiorgan dysfunction.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Competence Center for Renewable Energies and Energy Efficiency, Hamburg University of Applied Sciences, Hamburg, Germany.
With the increasing height and rotor diameter of wind turbines, bat activity monitoring within the risk area becomes more challenging. This study investigates the impact of Unmanned Aerial Systems (UAS) on bat activity and explores acoustic bat detection via UAS as a new data collection method in the vicinity of wind turbines. We tested two types of UAS, a multicopter and a Lighter Than Air (LTA) UAS, to understand how they may affect acoustically recorded and analyzed bat activity level for three echolocation groups: Pipistrelloid, Myotini, and Nyctaloid.
View Article and Find Full Text PDFSci Rep
January 2025
Computer Science Department, Faculty of Computers and Information, South Valley University, Qena, 83523, Egypt.
Adversarial attacks were commonly considered in computer vision (CV), but their effect on network security apps rests in the field of open investigation. As IoT, AI, and 5G endure to unite and understand the potential of Industry 4.0, security events and incidents on IoT systems have been enlarged.
View Article and Find Full Text PDFPLoS One
January 2025
College of Information Science and Engineering, Jiaxing University, Jiaxing, Zhejiang, China.
The network intrusion detection system (NIDS) plays a critical role in maintaining network security. However, traditional NIDS relies on a large volume of samples for training, which exhibits insufficient adaptability in rapidly changing network environments and complex attack methods, especially when facing novel and rare attacks. As attack strategies evolve, there is often a lack of sufficient samples to train models, making it difficult for traditional methods to respond quickly and effectively to new threats.
View Article and Find Full Text PDFTheranostics
January 2025
State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Molecular Recognition and Biosensing, Frontiers Science Center for New Organic Matter, College of Chemistry, Nankai University, Tianjin 300071, China.
Bladder cancer (BC) ranks as one of the most prevalent cancers. Its early diagnosis is clinically essential but remains challenging due to the lack of reliable biomarkers. Extracellular vesicles (EVs) carry abundant biological cargoes from parental cells, rendering them as promising cancer biomarkers.
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