Results 111 to 120 of about 2,419,123 (314)

Enhancing Industrial Control System Security: An Isolation Forest-based Anomaly Detection Model for Mitigating Cyber Threats

Journal of Engineering Research and Reports
In the evolving landscape of industrial control systems (ICS), the sophistication of cyber threats has necessitated the development of advanced anomaly detection mechanisms to safeguard critical infrastructure.
Md. Saif Mahmud, Md. Ashikul Islam, Md Maruf Rahman, Debashon Chakraborty, S. Kabir, Abu Shufian, P. Sheikh   +6 more
semanticscholar   +1 more source

Combinatorial Synthesis of Next Generation Water‐Soluble Quaternized N‐Halamine Oligomers with Long‐Lasting Antiviral Properties

Advanced Functional Materials, EarlyView.
A combinatorial library of dual‐functional antiviral oligomers incorporating N‐halamine and quaternary ammonium functionalities is developed for long‐lasting antiviral activity. The lead materials exhibit rapid and durable antiviral activity against SARS‐CoV‐2 variants and influenza H1N1, with 4 to 5 log reduction in viral copies at 5 mg mL−1 ...
Eid Nassar‐Marjiya, Konda Reddy Kunduru, Krishanu Ghosal, Luna Rizik, Nofar Atari, Mahran Daifa, Neta Kutner, Bassma Khamaisi, Qi Wu, Simran Jindal, Merna Shaheen‐Mualim, Ranabir Majumder, Mahitosh Mandal, Michal Mandelboim, Shady Farah   +14 more
wiley   +1 more source

Random Similarity Isolation Forests

With predictive models becoming prevalent, companies are expanding the types of data they gather. As a result, the collected datasets consist not only of simple numerical features but also more complex objects such as time series, images, or graphs.
Sebastian Chwilczyński, Dariusz Brzezinski   +1 more
openaire   +2 more sources

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques

IEEE Access
Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats.
Stephanie Ness, Vishwanath Eswarakrishnan, Harish Sridharan, Varun Shinde, Naga Venkata Prasad Janapareddy, Vineet Dhanawat   +5 more
doaj   +1 more source

Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features

, 2018
One-class support vector machine (OC-SVM) for a long time has been one of the most effective anomaly detection methods and extensively adopted in both research as well as industrial applications.
A Zimek, CC Chang, D Baehrens, DM Tax, EJ Candès, FE Grubbs, G Montavon, J Kim, JJ Hull, R Chalapathy, S Shalev-Shwartz, SM Erfani, T Schlegl, V Barnett, V Chandola, Y Bengio   +15 more
core   +1 more source

On‐Surface Indigo‐Based Bimolecular Coordination Networks with Programmable Regular or Vitreous Structure

Advanced Functional Materials, EarlyView.
A previously unreported coordination motif stabilising single Fe atoms by indigo chelation and pyridyl coordination on Au(111) has been revealed. By using planar tritopic pyridyl linkers (TPyB), extended 2D porous networks of indigo3(TPyB)2Fe6 form. These networks can be crystalline or vitreous and offer an environment where individual coordination ...
Hongxiang Xu, Ritam Chakraborty, Biao Yang, Dennis Meier, Joachim Reichert, Svetlana Klyatskaya, Mario Ruben, Shobhana Narasimhan, Johannes V. Barth, Anthoula C. Papageorgiou   +9 more
wiley   +1 more source

A Lightweight AI-Based Approach for Drone Jamming Detection

Future Internet
The future integration of drones in 6G networks will significantly enhance their capabilities, enabling a wide range of new applications based on autonomous operation.
Sergio Cibecchini, Francesco Chiti, Laura Pierucci   +2 more
doaj   +1 more source

Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions

Advanced Functional Materials, EarlyView.
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley   +1 more source

The use of the Isolation Forest model for anomaly detection in measurement data

INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES
The subject of the research is the Isolation Forest model, which is a powerful and efficient tool for detecting anomalies in measurement data and outliers, applicable in various fields where ensuring high accuracy and reliability of measurements is ...
Valeriy Aschepkov
semanticscholar   +1 more source