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 …
proliferation in the number of Internet users has presented attackers with new detrimental …
Generative adversarial networks: A literature review
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 …
models in recent years, has achieved great success in computer vision and natural …
High-Speed Network DDoS Attack Detection: A Survey
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 …
a network. This situation can lead to distributed denial-of-service (DDoS) attacks, which can …
Detecting Internet of Things attacks using distributed deep learning
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 …
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
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 …
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 …
population of people affected by chronic diseases, including diabetes, cardiovascular …
Real-time lateral movement detection based on evidence reasoning network for edge computing environment
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 …
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
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 …
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 …
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
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 …
responses and low bandwidth, by deploying computing and storage at the network edge …