Results 41 to 50 of about 13,413,861 (210)

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

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

Software: Practice and Experience, EarlyView.
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

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

Multi-scale Low-Rate DDoS Attack Detection Using the Generalized Total Variation Metric

, 2018
We propose a mechanism to detect multi-scale low-rate DDoS attacks which uses a generalized total variation metric. The proposed metric is highly sensitive towards detecting different variations in the network traffic and evoke more distance between ...
Erik Elmroth, Monowar H. Bhuyan, Bhuyan, Monowar H.,, Elmroth, Erik,   +3 more
core   +1 more source

Exploring New Opportunities to Defeat Low-Rate DDoS Attack in Container-Based Cloud Environment [PDF]

IEEE Transactions on Parallel and Distributed Systems, 2020
DDoS attacks are rampant in cloud environments and continually evolve into more sophisticated and intelligent modalities, such as low-rate DDoS attacks. But meanwhile, the cloud environment is also developing in constant. Now container technology and microservice architecture are widely applied in cloud environment and compose container-based cloud ...
Zhi Li 0048, Hai Jin 0001, Deqing Zou, Bin Yuan   +3 more
openaire   +1 more source

DDOS ATTACK DETECTION SIMULATION AND HANDLING MECHANISM [PDF]

, 2013
In this study we discuss how to handle DDoS attack that coming from the attacker by using detection method and handling mechanism. Detection perform by comparing number of packets and number of flow. Whereas handling mechanism perform by limiting or drop
Yazid, S. (Setiadi), Sanmorino, Ahmad, Sanmorino, A. (Ahmad), Yazid, Setiadi, Ahmad Sanmorino, Setiadi Yazid   +5 more
core   +1 more source

Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT

Sensors, 2022
The development of smart network infrastructure of the Internet of Things (IoT) faces the immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks.
Muhammad Aslam, Dengpan Ye, Aqil Tariq, Muhammad Asad, Muhammad Hanif, David Ndzi, Samia Allaoua Chelloug, Mohamed Abd Elaziz, Mohammed A. A. Al-Qaness, Syeda Fizzah Jilani   +9 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

CRISPR/Cas9‐Mediated Knockout of LbSP1 and LbSP5G1 Reveals Efficient Customization of Shoot Architecture in Black Goji Berry

Plant Biotechnology Journal, EarlyView.
ABSTRACT Goji is recognized as a nutritionally rich superfruit with medicinal and industrial importance. However, its inherently indeterminate growth habit causes asynchronous flowering and uneven fruit ripening, resulting in harvesting inefficiency with high labour costs and low fruit yield.
Fazal Rehman, Huanfang Liu, Yun Ma, Shaohua Zeng, Yan Wu, Yuan Zong, Chao Yang, Ying Wang   +7 more
wiley   +1 more source

Two-Layer Approach for Mixed High-Rate and Low-Rate Distributed Denial of Service (DDoS) Attack Detection and Filtering [PDF]

, 2018
WOS: 000449936300079Distributed denial of service (DDoS) attacks are one of the most important attacks due to reducing the performance of computer networks nowadays.
Şimşek, Mehmet, M. Şimşek, Toklu, Sinan, Simsek, M., S. Toklu   +4 more
core   +1 more source