Mitigating content poisoning attacks in named data networking: a survey of recent solutions, limitations, challenges and future research directions

Abstract Named Data Networking (NDN) is one of the capable applicants for the future Internet architecture, where communications focus on content rather than providing content. NDN implements Information-Centric Networking (ICN) with its unique node structure and significant characteristics such as built-in mobility support, multicast support, and efficient content distribution to end-users. It has several key features, including inherent security, that protect the content rather than the communication channel. Despite the good features that NDN provides, it is nonetheless vulnerable to a variety of attacks, the most critical of them is the Content Poisoning Attack (CPA). In this survey, the existing solutions presented for the prevention of CPA in the NDN paradigm have been critically analyzed. Furthermore, we also compared the suggested schemes based on latency, communication overhead, and security. In addition, we have also shown the possibility of other possible NDN attacks on the suggested schemes. Finally, we adds some open research challanges.

Authors

Institutions

Publication Details

Journal
Artificial Intelligence Review
Published
2024-12-20
DOI
https://doi.org/10.1007/s10462-024-10994-x
Citations
4
Primary Topic
Caching and Content Delivery
Type
article
Field-Weighted Citation Impact
1.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mitigating content poisoning attacks in named data networking: a survey of recent solutions, limitations, challenges and future research directions

Spyridon Mastorakis, Ihsan Ali, Syed Sajid Ullah, Hizbullah Khattak et al.
4 citations
Artificial Intelligence Review
Caching and Content Delivery
1.40
article

Mitigating content poisoning attacks in named data networking: a survey of recent solutions, limitations, challenges and future research directions

Spyridon Mastorakis, Ihsan Ali, Syed Sajid Ullah, Hizbullah Khattak, Saddam Hussain
article en
4 citations

Abstract

Abstract Named Data Networking (NDN) is one of the capable applicants for the future Internet architecture, where communications focus on content rather than providing content. NDN implements Information-Centric Networking (ICN) with its unique node structure and significant characteristics such as built-in mobility support, multicast support, and efficient content distribution to end-users. It has several key features, including inherent security, that protect the content rather than the communication channel. Despite the good features that NDN provides, it is nonetheless vulnerable to a variety of attacks, the most critical of them is the Content Poisoning Attack (CPA). In this survey, the existing solutions presented for the prevention of CPA in the NDN paradigm have been critically analyzed. Furthermore, we also compared the suggested schemes based on latency, communication overhead, and security. In addition, we have also shown the possibility of other possible NDN attacks on the suggested schemes. Finally, we adds some open research challanges.

Artificial Intelligence ReviewVol. 58(2)
University of Notre Dame (US), Southeast Missouri State University (US), Universiti Brunei Darussalam (BN), University of Agder (NO), Hazara University (PK)
Universitetet i Agder
Openalex Percentile: Top 16%
Caching and Content Delivery
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.