Results 101 to 110 of about 630,175 (218)

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

Software: Practice and Experience, Volume 56, Issue 12, Page 1538-1556, December 2026.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai, Ishika Goyal, Shubham Sharma, Sri Harshita Manuri, Vinay Chamola, Rajkumar Buyya   +5 more
wiley   +1 more source

A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
A comprehensive overview of Federated and Incremental Learning (FIL) integration in Spatial Crowdsourcing, highlighting privacy, security, adaptability, efficiency challenges, and future research directions. ABSTRACT Spatial Crowdsourcing (SC) coordinates workers and requesters through personal mobile devices to complete location‐dependent tasks in ...
Md Mujibur Rahman, Quazi Mamun, Michael Bewong, Md Zahidul Islam   +3 more
wiley   +1 more source

Hardware Validation for Semi-Coherent Transmission Security

Information
The rapid growth of Internet-connected devices integrating into our everyday lives has no end in sight. As more devices and sensor networks are manufactured, security tends to be a low priority.
Michael Fletcher, Jason McGinthy, Alan J. Michaels   +2 more
doaj   +1 more source

Critical questions for documenting collections as data: Provocations from developing datasheets for web archives datasets

Journal of the Association for Information Science and Technology, Volume 77, Issue 11, Page 1394-1417, November 2026.
Abstract Scholarship on documentation of datasets is increasingly concerned with capturing the context, socio‐technical processes, and decisions shaping data. “Datasheets for datasets” is a recent approach developed by researchers in machine learning that foregrounds transparency and uncovering bias through data documentation.
Emily Maemura, Helena Byrne
wiley   +1 more source

Metalized Carbon Fiber Electrodes for High‐Performance Aqueous Redox Flow Batteries: The Dominance of Bismuth

Battery Energy, Volume 5, Issue 6, November 2026.
Metal‐coated carbon fiber electrodes transform aqueous redox flow batteries by accelerating negative‐electrode redox kinetics, suppressing hydrogen evolution, and regulating metal plating. Standardized testing, operando mechanistic studies, and techno‐economic validation are essential for practical, scalable deployment.
Ganesan Srividhya, Megha Bala, John Bell, Ashok Kumar Nanjundan, Kothandaraman Ramanujam   +4 more
wiley   +1 more source

Machine Learning and Deep Learning Approaches for SQL Injection Detection: A Review

NTU Journal of Engineering and Technology
Structured Query Language Injection (SQLi) remains one of the most serious threats to web applications and has the ability to bypass traditional signature-based detection through obfuscation and zero-day payloads.
Sahar Saadallah Ahmed , Mohand lokman Al dabag   +1 more
doaj   +1 more source

Federated Learning for Official Statistics: A Systematic Review of Privacy‐Preserving Architectures and the Path Toward GSBPM Integration

Concurrency and Computation: Practice and Experience, Volume 38, Issue 21, November 2026.
ABSTRACT National Statistical Offices (NSOs) face an escalating “privacy‐utility” impasse, where the demand for high‐granularity data must compete with the near zero risk tolerance of legal frameworks like the General Data Protection Regulation (GDPR).
Hooreya Khunji, Wael Elmedany, Nabil Hewahi, Mhd Saeed Sharif   +3 more
wiley   +1 more source

Cyclic Homomorphic Encryption Aggregation (CHEA)—A Novel Approach to Data Aggregation in the Smart Grid

Energies
The transactive energy market is an emerging development in energy economics built on advanced metering infrastructure. Data generated in this context is often required for market operations, while also being privacy sensitive.
Daniel Sousa-Dias, Daniel Amyot, Ashkan Rahimi-Kian, Masoud Bashari, John Mylopoulos   +4 more
doaj   +1 more source

A Lightweight Embedded Neural Network for Real‐Time Water Quality Classification in IoT‐Based Monitoring Systems

Concurrency and Computation: Practice and Experience, Volume 38, Issue 21, November 2026.
ABSTRACT A lightweight neural‐network classifier was developed to assign surface‐water samples to the five quality classes established by Brazil's environmental standard CONAMA 357/2005. The study used a 2018 dataset from SEMASA‐Itajaí comprising 8928 hourly observations of pH, turbidity, apparent color, and local rainfall.
Eduardo C. Vicente, Anita M. da Rocha Fernandes, Luis Augusto Silva Zendron, Wemerson D. Parreira   +3 more
wiley   +1 more source

SAF-PUF: A Strong PUF with Zero-BER, ML-Resilience and Dynamic Key Concealment Enabled by RRAM Stuck-at-Faults

Applied Sciences
Targeting resource-constrained Internet of Things (IoT) devices, this paper proposes Stuck-at-Fault Physical Unclonable Function (SAF-PUF), a lightweight Resistive Random-Access Memory (RRAM)-based PUF that exploits the intrinsic addresses of ...
Qianwu Zhang, Bingyang Zheng, Lin-Sheng Wu, Xin Zhao   +3 more
doaj   +1 more source