The Detection Method of Collusive Interest Flooding Attacks Based on Prediction Error in NDN
Named Data Networking (NDN) is one of the main research projects of the information center network (ICN), and its efficient forwarding mechanism attaches the attention of researchers. Like other networks, NDN also faces the threat of cyber attacks. With the assistance of the colluding server, the Co...
Main Authors: | Liang Liu, Wenzhi Feng, Zhijun Wu, Meng Yue, Rudan Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9139197/ |
Similar Items
-
Detecting and Mitigating Collusive Interest Flooding Attacks in Named Data Networking
by: Al-Duwairi, B., et al.
Published: (2022) -
Privacy Preserving Data-Sharing Scheme in Content-Centric Networks Against Collusion Name Guessing Attacks
by: Xingwen Zhao, et al.
Published: (2017-01-01) -
Malware Collusion Attack against SVM: Issues and Countermeasures
by: Hongyi Chen, et al.
Published: (2018-09-01) -
A network-wide view-based detection and mitigation of a sophisticated Interest Flooding Attack
by: Guang Cheng, et al.
Published: (2020-07-01) -
Collusion Attack Resilient 3D Mesh Watermarking Based on Anti-Collusion Fingerprint Code
by: Jong-Uk Hou, et al.
Published: (2018-06-01)