Results 41 to 50 of about 17,788 (216)

Development and experimental validation of a predictive resilient framework for cyber‐physical systems

AIChE Journal, EarlyView.
Abstract Cyber‐physical process systems integrate process dynamics, control, sensing, actuation, and communication, making them vulnerable to attacks that falsify data, alter control actions, or disrupt networks and drive operations toward unsafe states.
Luyang Liu, Ritu Ranjan, Zaman Sajid, Benjamin Wilhite, Costas Kravaris, Faisal Khan   +5 more
wiley   +1 more source

EBHIS Local Volume Galaxy Hi Survey (LVGHIS)

Astronomische Nachrichten, EarlyView.
ABSTRACT Here, we present the “Local Volume Galaxy Hi Survey” (LVGHIS). It is based on the first data release of the Milky Way portion of the Effelsberg Bonn Hi‐Survey (EBHIS). We homogeneously measured the mass and dynamics of the local volume galaxies within the radial velocity limit of |vLSR|≤600kms−1$$ \mid {v}_{\mathrm{LSR}}\mid \le 600\kern0.6em \
V. A. Schulz, J. Kerp, A. C. Schröder, B. Winkel   +3 more
wiley   +1 more source

VAE‐Based SPC for Botnet Detection in IoT Systems

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The rapid proliferation of Internet of Things (IoT) devices has created new security risks, particularly botnet infections. This paper proposes an unsupervised monitoring framework that combines a β$\beta$‐variational autoencoder (VAE) with multivariate statistical process control (SPC) for botnet detection in IoT networks.
Jorge Proaño, Miguel Flores, Javier Tarrío‐Saavedra, Salvador Naya   +3 more
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Application of machine learning methods for generation of synthetic datasets of DDOS attacks for software-defined networks

Современная наука и инновации
TDistributing datasets containing DDoS attack patterns in software-defined networks (SDNs) is an important task for improving threat detection methods.
T. A. Peleshenko, V. V. Brovkov, A. A. Kushchenko, M. E. Parfentiev, D. I. Ledyan   +4 more
doaj   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

DDoS ATTACK MITIGATION WITH INTRUSION DETECTION SYSTEM (IDS) USING TELEGRAM BOTS

JISA (Jurnal Informatika dan Sains), 2021
In the current IS/IT era, service to consumers is an absolute must to be prepared to survive in business competition. Physical and logical attacks with the aim of disrupting information technology services for individuals/agencies/companies or reducing ...
Mohammad Taufan Asri Zaen, Ahmad Tantoni, Maulana Ashari   +2 more
doaj   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

Mitigation of Application Layer DDoS Flood Attack Against Web Servers

Journal of Information Security and Cybercrimes Research, 2019
The Application-layer Distributed Denial of Service (App-DDoS) attack is one of the most menacing types of cyberattacks that circumvent web servers. Since the attackers have developed different techniques and methods, preventing App-DDoS attacks has ...
Ahamed Aljuhani, Talal Alharbi, Bradley Taylor   +2 more
doaj   +1 more source

Navigating Institutional Friction in Digital Transformation: A Mechanism‐Based View

Information Systems Journal, EarlyView.
ABSTRACT Digital transformation (DT) fundamentally alters organizational structures, practices, and values, frequently generating significant friction as incoming digital artefacts structurally misalign with legacy institutional demands. These demands are rooted in institutional logics—the deeply held belief systems and practices that guide ...
Hugo Hedlund, Katrin Jonsson, Johan Sandberg   +2 more
wiley   +1 more source