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.

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 An Effective Fairness Scheme for Named Data Networking

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 749
Author(s):  
Hammad Zafar ◽  
Ziaul Haq Abbas ◽  
Ghulam Abbas ◽  
Fazal Muhammad ◽  
Muhammad Tufail ◽  
...  
Keyword(s):  
Interest Rates ◽  
Future Internet ◽  
High Volume ◽  
Named Data Networking ◽  
Network Resources ◽  
Network Nodes ◽  
Network Routers ◽  
Rate Shaping ◽  
Network Topologies ◽  
Data Networking

Named data networking (NDN) is a revolutionary approach to cater for modern and future Internet usage trends. The advancements in web services, social networks and cloud computing have shifted Internet utilization towards information delivery. Information-centric networking (ICN) enables content-awareness in the network layer and adopts name-based routing through the NDN architecture. Data delivery in NDN is receiver-driven pull-based and governed by requests (interests) sent out by the receiver. The ever-increasing share of high-volume media streams traversing the Internet due to the popularity and availability of video-streaming services can put a strain on network resources and lead to congestion. Since most congestion control techniques proposed for NDN are receiver-based and rely on the users to adjust their interest rates, a fairness scheme needs to be implemented at the intermediate network nodes to ensure that “rogue” users do not monopolize the available network resources. This paper proposes a fairness-based active queue management at network routers which performs per-flow interest rate shaping in order to ensure fair allocation of resources. Different congestion scenarios for both single path and multipath network topologies have been simulated to test the effectiveness of the proposed fairness scheme. Performance of the scheme is evaluated using Jain’s fairness index as a fairness metric.

scholarly journals A New Bloom Filter Architecture for FIB Lookup in Named Data Networking

2019 ◽  
Vol 9 (2) ◽  
pp. 329 ◽  
Author(s):  
Hayoung Byun ◽  
Hyesook Lim
Keyword(s):  
Network Traffic ◽  
High Speed ◽  
Bloom Filter ◽  
Future Internet ◽  
Bloom Filters ◽  
Named Data Networking ◽  
Future Internet Architecture ◽  
Massive Growth ◽  
Filter Architecture ◽  
Data Networking

Network traffic has increased rapidly in recent years, mainly associated with the massive growth of various applications on mobile devices. Named data networking (NDN) technology has been proposed as a future Internet architecture for effectively handling this ever-increasing network traffic. In order to realize the NDN, high-speed lookup algorithms for a forwarding information base (FIB) are crucial. This paper proposes a level-priority trie (LPT) and a 2-phase Bloom filter architecture implementing the LPT. The proposed Bloom filters are sufficiently small to be implemented with on-chip memories (less than 3 MB) for FIB tables with up to 100,000 name prefixes. Hence, the proposed structure enables high-speed FIB lookup. The performance evaluation result shows that FIB lookups for more than 99.99% of inputs are achieved without needing to access the database stored in an off-chip memory.

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