Distributed denial-of-service (DDoS) attacks and defense mechanisms in various web-enabled computing platforms: issues, challenges, and future research directions

A Singh, BB Gupta - International Journal on Semantic Web and …, 2022 - igi-global.com
The demand for Internet security has escalated in the last two decades because the rapid
proliferation in the number of Internet users has presented attackers with new detrimental …

Generative adversarial networks: A literature review

J Cheng, Y Yang, X Tang, N Xiong… - KSII Transactions on …, 2020 - koreascience.kr
Abstract The Generative Adversarial Networks, as one of the most creative deep learning
models in recent years, has achieved great success in computer vision and natural …

High-Speed Network DDoS Attack Detection: A Survey

RMA Haseeb-Ur-Rehman, AHM Aman, MK Hasan… - Sensors, 2023 - mdpi.com
Having a large number of device connections provides attackers with multiple ways to attack
a network. This situation can lead to distributed denial-of-service (DDoS) attacks, which can …

Detecting Internet of Things attacks using distributed deep learning

GDLT Parra, P Rad, KKR Choo, N Beebe - Journal of Network and …, 2020 - Elsevier
The reliability of Internet of Things (IoT) connected devices is heavily dependent on the
security model employed to protect user data and prevent devices from engaging in …

A computation offloading method over big data for IoT-enabled cloud-edge computing

X Xu, Q Liu, Y Luo, K Peng, X Zhang, S Meng… - Future Generation …, 2019 - Elsevier
The Internet of mobile things is a burgeoning technique that generates, stores and
processes big real-time data to render rich services for mobile users. In order to mitigate …

Wearable IoT enabled real-time health monitoring system

J Wan, M AAH Al-awlaqi, MS Li, M O'Grady… - EURASIP Journal on …, 2018 - Springer
As the age profile of many societies continues to increase, in addition to the increasing
population of people affected by chronic diseases, including diabetes, cardiovascular …

Real-time lateral movement detection based on evidence reasoning network for edge computing environment

Z Tian, W Shi, Y Wang, C Zhu, X Du… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Edge computing provides high-class intelligent services and computing capabilities at the
edge of the networks. The aim is to ease the backhaul impacts and offer an improved user …

Learning sparse representation with variational auto-encoder for anomaly detection

J Sun, X Wang, N Xiong, J Shao - IEEE Access, 2018 - ieeexplore.ieee.org
Anomaly detection has a wide range of applications in security area such as network
monitoring and smart city/campus construction. It has become an active research issue of …

[PDF][PDF] DNNBoT: Deep neural network-based botnet detection and classification.

MA Haq, MA Rahim Khan - Computers, Materials & Continua, 2022 - cdn.techscience.cn
The evolution and expansion of IoT devices reduced human efforts, increased resource
utilization, and saved time; however, IoT devices create significant challenges such as lack …

Collaborative prediction and detection of DDoS attacks in edge computing: A deep learning-based approach with distributed SDN

H Zhou, Y Zheng, X Jia, J Shu - Computer Networks, 2023 - Elsevier
Edge computing (EC) has greatly facilitated the deployment of networked services with fast
responses and low bandwidth, by deploying computing and storage at the network edge …