Evaluation of Modified Vector Space Representation Using ADFA-LD and ADFA-WD Datasets

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Journal of Information Security

ISSN Print: 2153-1234
ISSN Online: 2153-1242
www.scirp.org/journal/jis
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Google-based Impact Factor: 3.25
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"Evaluation of Modified Vector Space Representation Using ADFA-LD and ADFA-WD Datasets"
written by Bhavesh Borisaniya, Dhiren Patel,
published by Journal of Information Security, Vol.6 No.3, 2015

has been cited by the following article(s):

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[5]	API-based features representation fusion for malware classification 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023 DOI:10.1109/COMPSAC57700.2023.00256

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[9]	An Intrusion Detection System on Fog Architecture 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2021 DOI:10.1109/MASS52906.2021.00084

[10]	Comprehensive Review of Cybercrime Detection Techniques IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3011259

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[12]	Deep Learning Approach for Intelligent Intrusion Detection System IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2895334

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[14]	Sequence Covering for Efficient Host-Based Intrusion Detection IEEE Transactions on Information Forensics and Security, 2019 DOI:10.1109/TIFS.2018.2868614

[15]	A Lightweight Perceptron-Based Intrusion Detection System for Fog Computing Applied Sciences, 2019 DOI:10.3390/app9010178

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[18]	Host based intrusion detection system using frequency analysis of n-gram terms TENCON 2017 - 2017 IEEE Region 10 Conference, 2017 DOI:10.1109/TENCON.2017.8228190

[19]	Ensemble classifier for misuse detection using N-gram feature vectors through operating system call traces International Journal of Hybrid Intelligent Systems, 2017 DOI:10.3233/HIS-170247

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