← Back to Research Radar
Academic Publication Academic Publication

Artificial intelligence-driven method for the discovery and prevention of distributed denial of service attacks

137
Citations
February 1, 2025
Published Date

Research Abstract & Technology Focus

Distributed denial of service (DDoS) attacks has emerged as a prominent cyber threat in contemporary times. By impeding the machine's capacity to give services to legitimate clients, the impacted system performance and buffer size are reduced. Researchers are working to build sophisticated algorithms that can identify and thwart DDoS violations. An effective approach for DDoS attacks has been proposed in this work. This research presents a model as a potential explanation for DDoS assaults. In order to successfully identify this kind of attacks, which may stop or block the urgent and vital transmission of data, we present a distinctive method that integrates a pair of fully connected layers within an amalgamated deep learning (DL) framework with long short-term memory (LSTM) and a max pooling layer. The acquired accuracy reached 99.58%.
Read Full Literature

AI Semantic Synergy Context

Connecting this academic literature to real-world market discussions and products.

crossref.org › academic paper
0%

Advancing cybersecurity: a comprehensive review of AI-driven detection techniques

AbstractAs the number and cleverness of cyber-attacks keep increasing rapidly, it's more important than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly and accu...

crossref.org › academic paper
0%

Enhancing intrusion detection: a hybrid machine and deep learning approach

AbstractThe volume of data transferred across communication infrastructures has recently increased due to technological advancements in cloud computing, the Internet of Things (IoT), and automobile...

news.ycombinator.com › AI insight
0%

Show HN: Hormuz Havoc, a satirical game that got overrun by AI bots in 24 hours

This submission serves as a stark reminder of the 'dumb terminal' requirement for any application where game state or scoring logic is sensitive. The developer's initial mistake—exposing scoring fo...

openalex.org › research concept
0%

SmartWSN-IDS: A Hybrid Deep Reservoir and Optimized Tree Model for Routing Attack Detection

Wireless Sensor Networks (WSNs) comprise a large number of low-power sensor nodes deployed in applications such as environmental monitoring, healthcare, military surveillance, and smart cities. Rec...

crossref.org › academic paper
0%

Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review

AbstractArtificial intelligence is emerging as a transformative force in addressing the multifaceted challenges of food safety, food quality, and food security. This review synthesizes advancements...

Frequently Asked Questions (FAQ)

Curated market intelligence mapped to this research.

What is the core focus of the research titled 'Artificial intelligence-driven method for the discovery and prevention of distributed denial of service attacks'?

This literature focuses on: Distributed denial of service (DDoS) attacks has emerged as a prominent cyber threat in contemporary times. By impeding the machine's capacity to give services to legitimate clients, the impacted system performance and buffer size are reduced. Res...

Are there open-source GitHub repositories related to Artificial intelligence-driven method for the discovery and prevention of distributed denial of service attacks?

Yes, open-source projects like xixu-me/awesome-persona-distill-skills (Curated list of Agent Skills centered on people, relationships, commemorative scenes, and methodological perspectives) are actively building upon these concepts.

What other academic literature is closely related to 'Artificial intelligence-driven method for the discovery and prevention of distributed denial of service attacks'?

Yes, highly correlated activity was mapped. An entry titled 'Advancing cybersecurity: a comprehensive review of AI-driven detection techniques' discusses this: AbstractAs the number and cleverness of cyber-attacks keep increasing rapidly, it's more important than ever to have good ways to detect and preven...

How is the concept of 'Artificial intelligence-driven method for the discovery and prevention of distributed denial of service attacks' being discussed by engineers on Hacker News?

Yes, highly correlated activity was mapped. An entry titled 'Show HN: Hormuz Havoc, a satirical game that got overrun by AI bots in 24 hours' discusses this: This submission serves as a stark reminder of the 'dumb terminal' requirement for any application where game state or scoring logic is sensitive. T...

Cite this Market Intelligence Report

Reference our AI-mapped synergy between this research and the commercial market to instantly build authority.

Commercial Realization

Startups and Open Source tools heavily associated with the concepts explored in this paper.

Associated Media Narrative