Results 61 to 70 of about 707,343 (186)

A Fine-Grained System Driven of Attacks Over Several New Representation Techniques Using Machine Learning

IEEE Access, 2023
Machine Learning (ML) techniques, especially deep learning, are crucial to many contemporary real world systems that use Computational Intelligence (CI) as their core technology, including self-deriving vehicles, assisting machines, and biometric ...
Mohammed A. Al Ghamdi
doaj   +1 more source

Information systems and digitization of traditional knowledge: Trends in cultural heritage and memory institutions and the WIPO Genetic Resources Treaty*

The Journal of World Intellectual Property, EarlyView.
Abstract Understanding the role of information communication technologies (ICTs) in development, especially in relation to marginalized populations, has been the focus of many related disciplinary categories within the broader ecosystem of information sciences.
Chidi Oguamanam
wiley   +1 more source

Securing the Unseen: A Comprehensive Exploration Review of AI‐Powered Models for Zero‐Day Attack Detection

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Zero‐day exploits remain challenging to detect because they often appear in unknown distributions of signatures and rules. The article entails a systematic review and cross‐sectional synthesis of four fundamental model families for identifying zero‐day intrusions, namely, convolutional neural networks (CNN), deep neural networks (DNN ...
Abdullah Al Siam, Nuruzzaman Faruqui, Akm Azad, Mohammad Ali Moni   +3 more
wiley   +1 more source

A cybersecurity risk analysis framework for systems with artificial intelligence components

International Transactions in Operational Research, Volume 33, Issue 2, Page 798-825, March 2026.
Abstract The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of novel risk analysis issues when facing systems with AI components: dealing with new AI‐related impacts; incorporating AI‐based ...
J.M. Camacho, A. Couce‐Vieira, D. Arroyo, D.R. Insua   +3 more
wiley   +1 more source

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

The Influence of Big Data‐Driven Educational Technologies on College Teaching Development

Engineering Reports, Volume 8, Issue 2, February 2026.
Exploring the impact of big data on college instructors: enhancing teaching, fostering professional growth, and addressing challenges in data adoption and privacy. ABSTRACT The rapid development of big data and mobile Internet technologies has significantly influenced the instructional growth of college instructors. This study investigated how big data
Ling Yu, Wenye Li, Ying Luo
wiley   +1 more source

Android Kötücül Yazılım Tespit Sistemleri İncelemesi

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2017
Akıllı telefonların hayatımıza girmesiyle birlikte akıllı telefonları kullanan kullanıcı sayısı her geçen gün artarak devam etmektedir. Akıllı telefonların fazla talep görmesindeki neden, insanların bir cihazla istedikleri işleri tek dokunuşla kolaylıkla
Ömer KİRAZ, İbrahim Alper DOĞRU
doaj   +4 more sources

MalBoT-DRL: Malware Botnet Detection Using Deep Reinforcement Learning in IoT Networks

IEEE Internet of Things Journal
In the dynamic landscape of cyber threats, multistage malware botnets have surfaced as significant threats of concern. These sophisticated threats can exploit Internet of Things (IoT) devices to undertake an array of cyberattacks, ranging from basic ...
Mohammad Al-Fawa’reh, Jumana Abu-khalaf, Patryk Szewczyk, James Jin Kang   +3 more
semanticscholar   +1 more source

A Machine Learning Framework for Detecting and Preventing Cyber‐Attacks in Industrial Cyber‐Physical Systems

Engineering Reports, Volume 8, Issue 1, January 2026.
Proposed cyber physical system security framework. ABSTRACT The increasing adoption of cyber‐physical systems (CPS) in Industry 4.0 has heightened vulnerability to cyber threats. This study proposes a machine learning–based intrusion detection framework, DBID‐Net, to effectively identify and prevent attacks in CPS environments. The framework integrates
Anurag Sinha, Rejuwan Shamim, Mihika Mahendra, Trupti Mohota, G. Madhukar Rao, Mohammad Nadeem Ahmed, Mohammad Rashid Hussain, Satyam Solanki, Tanish Ranjan, Bhaskar, Mini Kumari, Karan Dixit, Vyom Modi, Syed Immamul Ansarullah, Mohd Asif Shah   +14 more
wiley   +1 more source

DCmal-2025: A Novel Routing-Based DisConnectivity Malware—Development, Impact, and Countermeasures

Applied Sciences
Operating systems such as Windows, Linux, and macOS include built-in commands that enable administrators to perform essential tasks. These same commands can be exploited by attackers for malicious purposes that may go undetected by traditional security ...
Mai Abu-Jazoh, Iman Almomani, Khair Eddin Sabri   +2 more
doaj   +1 more source