Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests
Aristide Tanyi‐Jong Akem, Michele Gucciardo, Marco Fiore
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (2023), pp. 1-10
Open Access | Times Cited: 23

Showing 23 citing articles:

In-Network Machine Learning Using Programmable Network Devices: A Survey
Changgang Zheng, Xinpeng Hong, Damu Ding, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 26, Iss. 2, pp. 1171-1200
Open Access | Times Cited: 22
Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches
Aristide Tanyi‐Jong Akem, Beyza Bütün, Michele Gucciardo, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (2024), pp. 1631-1640
Open Access | Times Cited: 6
Real‐Time Encrypted Traffic Classification in Programmable Networks with P4 and Machine Learning
Aristide Tanyi‐Jong Akem, Guillaume Fraysse, Marco Fiore
International Journal of Network Management (2025) Vol. 35, Iss. 1
Open Access
Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale
Michael Seufert, Katharina Dietz, Nikolas Wehner, et al.
IEEE Transactions on Network and Service Management (2024) Vol. 21, Iss. 3, pp. 2773-2790
Open Access | Times Cited: 3
Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning
Aristide Tanyi‐Jong Akem, Guillaume Fraysse, Marco Fiore
(2024), pp. 1-9
Open Access | Times Cited: 3
RIDS: Towards Advanced IDS via RNN Model and Programmable Switches Co-Designed Approaches
Ziming Zhao, Zhaoxuan Li, Zhuoxue Song, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (2024), pp. 591-600
Closed Access | Times Cited: 2
HALIDS: a Hardware-Assisted Machine Learning IDS for in-Network Monitoring
Belén Brandino, Eduardo Grampín, Klaus Dietz, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 1
IoT-Based Intravenous Fluid Level Indicator Enhancing Patient Safety In The Era of Smart Healthcare System
Samidha Nayak, Aarya Agrawal, Jyoti Yadav, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Ultra-Low Latency User-Plane Cyberattack Detection in SDN-based Smart Grids
Aristide Tanyi‐Jong Akem, Michele Gucciardo, Marco Fiore
(2024), pp. 676-682
Closed Access | Times Cited: 1
On DGA detection and classification using P4 programmable switches
Ali AlSabeh, Kurt Friday, Elie Kfoury, et al.
Computers & Security (2024) Vol. 145, pp. 104007-104007
Closed Access | Times Cited: 1
A Machine Learning-Based Toolbox for P4 Programmable Data-Planes
Kaiyi Zhang, Nancy Samaan, Ahmed Karmouch
IEEE Transactions on Network and Service Management (2024) Vol. 21, Iss. 4, pp. 4450-4465
Closed Access
Towards Data-Driven Management of Mobile Networks through User Plane Inference
Aristide Tanyi‐Jong Akem, Marco Fiore
(2024), pp. 1-4
Closed Access
P4Rex: Accelerating regular expression matching with programmable switches
Lin Jing, Weiwei Lin, Hang Lin, et al.
Computer Networks (2024) Vol. 252, pp. 110662-110662
Closed Access
Accelerating Ransomware Defenses with Computational Storage Drive-Based API Call Sequence Classification
Kurt Friday, Elias Bou‐Harb
(2024), pp. 8-16
Closed Access
Evaluating the Impact of Flow Length on the Performance of In-Switch Inference Solutions
Michele Gucciardo, Beyza Bütün, Aristide Tanyi‐Jong Akem, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2024), pp. 1-6
Closed Access
AdaFlow: Efficient In-Network Traffic Classification using Programmable Switches
Sankalp Mittal, Harshith Kotha, M. Anand Krishna, et al.
(2024), pp. 258-266
Closed Access
Patronum: In-network Volumetric DDoS Detection and Mitigation with Programmable Switches
Jiahao Wu, Heng Pan, Penglai Cui, et al.
Lecture notes in computer science (2024), pp. 187-207
Closed Access
Leveraging Prefix Structure to Detect Volumetric DDoS Attack Signatures with Programmable Switches
Chris Misa, Ramakrishnan Durairajan, Arpit Gupta, et al.
2022 IEEE Symposium on Security and Privacy (SP) (2024), pp. 4535-4553
Closed Access
Network Data Plane Programming Languages: A Survey
Belén Brandino, Eduardo Grampín
Computers (2024) Vol. 13, Iss. 12, pp. 314-314
Open Access
Demonstrating Flow-Level In-Switch Inference
Michele Gucciardo, Aristide Tanyi‐Jong Akem, Beyza Bütün, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2023), pp. 1-2
Closed Access
On Dga Detection and Classification Using P4 Programmable Switches
Ali AlSabeh, Kurt Friday, Elie Kfoury, et al.
(2023)
Closed Access
Showcasing In-Switch Machine Learning Inference
Aristide Tanyi‐Jong Akem, Beyza Bütün, Michele Gucciardo, et al.
(2023), pp. 299-301
Closed Access
P4rex: Accelerating Regular Expression Matching with Programmable Switches
Jing Lin, Weiwei Lin, Hang Lin, et al.
(2023)
Closed Access
Page 1

Scroll to top