scholarly journals I-CIFA: An improved collusive interest flooding attack in named data networking

2021 ◽  
Vol 61 ◽  
pp. 102912
Author(s):  
Zhijun Wu ◽  
Wenzhi Feng ◽  
Jin Lei ◽  
Meng Yue
Keyword(s):  
Named Data Networking ◽  
Flooding Attack ◽  
Data Networking

Countermeasures of interest flooding attack in named data networking: A survey

2021 ◽  
pp. 002072092098351
Author(s):  
Linjun Yu ◽  
Huali Ai ◽  
Dong-Oun Choi
Keyword(s):  
Control Method ◽  
Network Architectures ◽  
Security Threats ◽  
Named Data Networking ◽  
Comprehensive Understanding ◽  
Next Generation Internet ◽  
Flooding Attack ◽  
Token Bucket ◽  
User Reputation ◽  
Data Networking

Named data networking (NDN) is a typical representation and implementation of information-centric networking and serves as a basis for the next-generation Internet. However, any network architectures will face information security threats. An attack named interest flooding attack (IFA), which is evolved, has becomes a great threat for NDN in recent years. Attackers through insert numerous forged interest packets into an NDN network, making the cache memory of NDN router(s) overrun, interest packets for the intended users. To take a comprehensive understanding of recent IFA detection and mitigation approaches, in this paper, we compared nine typical approaches to resolving IFA attacks for NDN, which are interest traceback, token bucket with per interface fairness, satisfaction-based interest acceptance, satisfaction-based push back, disabling PIT exhaustion, interest flow control method based on user reputation and content name prefixes, interest flow balancing method focused on the number of requests on named data networking, cryptographic route token, Poseidon local, and Poseidon distributed techniques. In addition, we conducted a simulation using Poseidon, a commonly used IFA resolution approach. The results showed that Poseidon could resolve IFA issues effectively.

scholarly journals Economic Levers for Mitigating Interest Flooding Attack in Named Data Networking

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Licheng Wang ◽  
Yun Pan ◽  
Mianxiong Dong ◽  
Yafang Yu ◽  
Kun Wang
Keyword(s):  
Dynamic Pricing ◽  
Denial Of Service ◽  
Future Internet ◽  
Extensive Study ◽  
Distributed Denial Of Service ◽  
Named Data Networking ◽  
Flooding Attack ◽  
Malicious Behavior ◽  
Future Internet Architectures ◽  
Data Networking

As a kind of unwelcome, unavoidable, and malicious behavior, distributed denial of service (DDoS) is an ongoing issue in today’s Internet as well as in some newly conceived future Internet architectures. Recently, a first step was made towards assessing DDoS attacks in Named Data Networking (NDN)—one of the promising Internet architectures in the upcoming big data era. Among them, interest flooding attack (IFA) becomes one of the main serious problems. Enlightened by the extensive study on the possibility of mitigating DDoS in today’s Internet by employing micropayments, in this paper we address the possibility of introducing economic levers, say, dynamic pricing mechanism, and so forth, for regulating IFA in NDN.

scholarly journals Reliable Detection of Interest Flooding Attack in Real Deployment of Named Data Networking

2019 ◽  
Vol 14 (9) ◽  
pp. 2470-2485 ◽  
Author(s):  
Tan Nguyen ◽  
Hoang-Long Mai ◽  
Remi Cogranne ◽  
Guillaume Doyen ◽  
Wissam Mallouli ◽  
...  
Keyword(s):  
Named Data Networking ◽  
Flooding Attack ◽  
Reliable Detection ◽  
Data Networking
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