MF-RF: A detection approach based on multi-features and random forest algorithm for improved collusive interest flooding attack

IF 1.3 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

IET Information Security Pub Date : 2022-11-28 DOI:10.1049/ise2.12100

Meng Yue, Silin Peng, Wenzhi Feng

引用次数: 0

Abstract

A new type of Collusive Interest Flooding Attack (CIFA), Improved Collusive Interest Flooding Attack (I-CIFA), which originates from CIFA with a stronger concealment, higher attack effect, lower attack cost, and wider attack range in Named Data Networking (NDN). In order to detect this attack, the present study explores new detection features and establishes a sample set of attack features with different granularities, and accordingly, the Pearson coefficient is used to validate the correlation between the proposed features and the network states. Finally, the Random Forest model is designed to detect the I-CIFA attack. To evaluate the performance of the approach, extensive experiments are conducted in ndnSIM platform. Test results show that the proposed detection approach outperforms other existing approaches with a detection rate of 98.1%, error rate of 1.9%, and false positive rate of 1.5%.

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MF-RF：一种基于多特征和随机森林算法的改进共谋利益泛滥攻击检测方法

一种新型的共谋利益淹没攻击（CIFA），即改进的共谋利益泛滥攻击（I-CIFA）。它源于命名数据网络中具有更强的隐蔽性、更高的攻击效果、更低的攻击成本和更宽的攻击范围的CIFA。为了检测这种攻击，本研究探索了新的检测特征，并建立了一个具有不同粒度的攻击特征样本集，因此，使用Pearson系数来验证所提出的特征与网络状态之间的相关性。最后，设计了随机森林模型来检测I-CIFA攻击。为了评估该方法的性能，在ndnSIM平台上进行了大量的实验。测试结果表明，所提出的检测方法优于其他现有方法，检测率为98.1%，错误率为1.9%，假阳性率为1.5%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IET Information Security 工程技术-计算机：理论方法

CiteScore

3.80

自引率

7.10%

发文量

审稿时长

8.6 months

期刊介绍： IET Information Security publishes original research papers in the following areas of information security and cryptography. Submitting authors should specify clearly in their covering statement the area into which their paper falls. Scope: Access Control and Database Security Ad-Hoc Network Aspects Anonymity and E-Voting Authentication Block Ciphers and Hash Functions Blockchain, Bitcoin (Technical aspects only) Broadcast Encryption and Traitor Tracing Combinatorial Aspects Covert Channels and Information Flow Critical Infrastructures Cryptanalysis Dependability Digital Rights Management Digital Signature Schemes Digital Steganography Economic Aspects of Information Security Elliptic Curve Cryptography and Number Theory Embedded Systems Aspects Embedded Systems Security and Forensics Financial Cryptography Firewall Security Formal Methods and Security Verification Human Aspects Information Warfare and Survivability Intrusion Detection Java and XML Security Key Distribution Key Management Malware Multi-Party Computation and Threshold Cryptography Peer-to-peer Security PKIs Public-Key and Hybrid Encryption Quantum Cryptography Risks of using Computers Robust Networks Secret Sharing Secure Electronic Commerce Software Obfuscation Stream Ciphers Trust Models Watermarking and Fingerprinting Special Issues. Current Call for Papers: Security on Mobile and IoT devices - https://digital-library.theiet.org/files/IET_IFS_SMID_CFP.pdf