 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: May 2026
Volume 11 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
Article Submitted : 24205
Article Published : 9239
Total Authors : 24597
Total Reviewer : 847
Total Countries : 165
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Beyond Static Thresholding: Causal Multi-Agent Decision Control for DDoS Detection |
| Authors Name: | G Dileep Kumar , Dr CV Guru Rao |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_212118
|
| Published Paper Id: | IJRTI2604306 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | DDoS attacks have remained a threat to the availability of the contemporary networked systems because of their magnitude, diversity, and the changing attack tactics. Although deep learning-based traffic classifiers have a high detection accuracy, practical implementation is commonly based on predetermined decision thresholds, so they are not as adaptive to the dynamism of networks. The thesis in this paper is that a large classification separability does not always indicate that detection decisions can be controlled. We introduce a causal multi-agent reinforcement learning (MARL) model to detect DDoS, wherein the reason of several monitoring agents to detect DDoS is based on traffic observations and rationalize the selection of detection decisions with the aid of coordination of rewards. It is then trained using the CICDDoS2019 dataset to develop a strong baseline classifier and then performs a threshold sensitivity analysis, which shows the drawbacks of using a fixed thresholding, even when the AUC is almost perfect. The suggested MARL framework presents a formulation of rewards in which all agents are explicitly balanced with recall, false-positive cost, and causal agreement. Massive experiments show that MARL in a causal manner is much more robust to per-attack and more decision controllable than a directly threshold-based detection. The findings represent the significance of decision-level intelligence outside the traditional classification pipelines to viable DDoS defense. |
| Keywords: | |
| Cite Article: | "Beyond Static Thresholding: Causal Multi-Agent Decision Control for DDoS Detection", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c277-c288, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604306.pdf |
| Downloads: | 000205517 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2604306
Registration ID:212118
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c277-c288 Country: Medchal malkajgiri, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604306 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604306 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||