ARCHIVES
Research Article
Malware Detection Techniques for Cloud Infrastructure Using Recurrent Neural Networks
NALLUSAMY P1
GOWTHAM A2
LIBIN TITUS T3
GUNASEKARAN G4
DHIVAGAR P5
12345Dhanalakshmi Srinivasan Engineering college, Perambalur / Anna University, Tamilnadu, India.
Published Online: March-April 2022
Pages: 99-102
Cite this article
No DOIReferences
[1] B. Grobauer, T. Walloschek, and E. Stocker, “Understanding cloud computing vulnerabilities,” IEEE Security & Privacy, vol. 9,
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[2] M. Jensen, J. Schwenk, N. Gruschka, and L. L. Iacono, “On technical security issues in cloud computing,” in IEEE CLOUD, 2009.
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[4] Z. Xiao and Y. Xiao, “Security and privacy in cloud computing,” IEEE Communications Surveys & Tutorials, vol. 15, no. 2, 2013.
[5] K. Dahbur, B. Mohammad, and A. B. Tarakji, “A survey of risks, threats and vulnerabilities in cloud computing,” in ISWSA, 2011.
[6] A. Gholami and E. Laure, “Security and privacy of sensitive data in cloud computing: a survey of recent developments,” arXiv
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[7] M. Abdelsalam, R. Krishnan, and R. Sandhu, “Clustering-based IaaS cloud monitoring,” in 10th IEEE CLOUD. IEEE, 2017.
[8] J. Demme and et al., “On the feasibility of online malware detection with performance counters,” in ACM SIGARCH Computer
Architecture News, vol. 41, no. 3. ACM, 2013.
[9] G. Tahan, L. Rokach, and Y. Shahar, “Mal-ID: Automatic malware detection using common segment analysis and meta-features,”
Journal of Machine Learning Research, vol. 13, no. Apr, 2012.
[10] J. Z. Kolter and M. A. Maloof, “Learning to detect and classify malicious executables in the wild,” Journal of Machine
Learning Research, vol. 7, no. Dec, 2006.
[11] T. Abou-Assaleh and et al., “N-gram-based detection of new malicious code,” in COMPSAC, vol. 2. IEEE, 2004.
[12] A. Shabtai and et al., “Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art
survey,” information security technical report, vol. 14, no. 1, 2009.
[13] B. Athiwaratkun and J. W. Stokes, “Malware classification with LSTM and GRU language models and a character-level cnn,” in
ICASSP. IEEE, 2017.
[14] J. Saxe and K. Berlin, “Deep neural network based malware detection using two dimensional binary program features,” in 10th
MALWARE. IEEE, 2015.
[15] S. Seok and H. Kim, “Visualized malware classification based-on convolutional neural network,” Journal of the Korea Institute of
Information Security and Cryptology, vol. 26, no. 1, 2016.
2011.
[2] M. Jensen, J. Schwenk, N. Gruschka, and L. L. Iacono, “On technical security issues in cloud computing,” in IEEE CLOUD, 2009.
[3] N. Gruschka and M. Jensen, “Attack surfaces: A taxonomy for attacks on cloud services,” in IEEE CLOUD, 2010, pp. 276–279.
[4] Z. Xiao and Y. Xiao, “Security and privacy in cloud computing,” IEEE Communications Surveys & Tutorials, vol. 15, no. 2, 2013.
[5] K. Dahbur, B. Mohammad, and A. B. Tarakji, “A survey of risks, threats and vulnerabilities in cloud computing,” in ISWSA, 2011.
[6] A. Gholami and E. Laure, “Security and privacy of sensitive data in cloud computing: a survey of recent developments,” arXiv
preprint arXiv:1601.01498, 2016.
[7] M. Abdelsalam, R. Krishnan, and R. Sandhu, “Clustering-based IaaS cloud monitoring,” in 10th IEEE CLOUD. IEEE, 2017.
[8] J. Demme and et al., “On the feasibility of online malware detection with performance counters,” in ACM SIGARCH Computer
Architecture News, vol. 41, no. 3. ACM, 2013.
[9] G. Tahan, L. Rokach, and Y. Shahar, “Mal-ID: Automatic malware detection using common segment analysis and meta-features,”
Journal of Machine Learning Research, vol. 13, no. Apr, 2012.
[10] J. Z. Kolter and M. A. Maloof, “Learning to detect and classify malicious executables in the wild,” Journal of Machine
Learning Research, vol. 7, no. Dec, 2006.
[11] T. Abou-Assaleh and et al., “N-gram-based detection of new malicious code,” in COMPSAC, vol. 2. IEEE, 2004.
[12] A. Shabtai and et al., “Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art
survey,” information security technical report, vol. 14, no. 1, 2009.
[13] B. Athiwaratkun and J. W. Stokes, “Malware classification with LSTM and GRU language models and a character-level cnn,” in
ICASSP. IEEE, 2017.
[14] J. Saxe and K. Berlin, “Deep neural network based malware detection using two dimensional binary program features,” in 10th
MALWARE. IEEE, 2015.
[15] S. Seok and H. Kim, “Visualized malware classification based-on convolutional neural network,” Journal of the Korea Institute of
Information Security and Cryptology, vol. 26, no. 1, 2016.
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