Abstract:
Named Data Networking (NDN) is one of the next generation network architecture that focus on content rather than its location. However, there is a new type of security th...Show MoreMetadata
Abstract:
Named Data Networking (NDN) is one of the next generation network architecture that focus on content rather than its location. However, there is a new type of security threat to NDN named Interest Flooding Attack. This paper proposes AH-IFAC: a countermeasure based on autoregressive integrated (ARI) model and Hidden Markov Model (HMM) to fight Interest Flooding Attack. The AH-IFAC runs on routers that connected to user and monitors external characteristic parameters of user. The router charges user when providing forward service and rewards user if the user is legal. Considering the dependency between sequential external characteristic parameters of user, the ARI model is used to predict the external characteristic parameters of user and the HMM utilizes predicted external characteristic parameters to detect the evil user. Finally, the effectiveness of the AH-IFAC is verified through experiment. The simulation results show that the AH-IFAC can effectively mitigate IFA, the Interest packet satisfaction ratio can be increased up to 84% and 87% at tree and net-like topology respectively.
Published in: 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Date of Conference: 06-08 May 2019
Date Added to IEEE Xplore: 08 August 2019
ISBN Information: