Evaluating hybrid quantum-classical deep learning for cybersecurity botnet DGA detection

Procedia Computer Science - Tập 197 - Trang 223-229 - 2022
Hatma Suryotrisongko1, Yasuo Musashi2
1Graduate School of Science and Technology, Kumamoto University, Kumamoto, 8608555, Japan
2Center for Management of Information Technologies, Kumamoto University, Kumamoto, 8608555, Japan

Tài liệu tham khảo

Buffoni, 2021, "New trends in quantum machine learning (a)", EPL (Europhysics Letters), 132, 60004, 10.1209/0295-5075/132/60004 Mitarai, 2018, "Quantum circuit learning.", Physical Review A, 98, 032309, 10.1103/PhysRevA.98.032309 Biamonte, 2017, "Quantum machine learning.", Nature, 549, 195, 10.1038/nature23474 Dunjko, 2018, "Machine learning & artificial intelligence in the quantum domain: a review of recent progress.", Reports on Progress in Physics, 81, 074001, 10.1088/1361-6633/aab406 Perdomo-Ortiz, 2018, "Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers.", Quantum Science and Technology, 3, 030502, 10.1088/2058-9565/aab859 Schuld, 2015, "An introduction to quantum machine learning.", Contemporary Physics, 56, 172, 10.1080/00107514.2014.964942 Ristè, 2017, "Demonstration of quantum advantage in machine learning.", npj Quantum Information, 3, 1, 10.1038/s41534-017-0017-3 Chalumuri, 2021, "A hybrid classical-quantum approach for multi-class classification.", Quantum Information Processing, 20, 1, 10.1007/s11128-021-03029-9 Abohashima, Z., M. Elhosen, E. H. Houssein, and W. M. Mohamed. (2020) “Classification with quantum machine learning: A survey.” arXiv preprint arXiv:2006.12270. Garg, Siddhant, and G. Ramakrishnan. (2020) “Advances in quantum deep learning: An overview.” arXiv preprint arXiv:2005.04316. Singh, 2019, "Issues and challenges in DNS based botnet detection: A survey.", Computers & Security, 86, 28, 10.1016/j.cose.2019.05.019 Wang, 2017, "DBod: Clustering and detecting DGA-based botnets using DNS traffic analysis.", Computers & Security, 64, 1, 10.1016/j.cose.2016.10.001 Zago, 2021, "Early DGA-based botnet identification: pushing detection to the edges.", Cluster Computing, 1 Satoh, 2019, "Clustering malicious DNS queries for blacklist-based detection.", IEICE Transactions on Information and Systems, 102, 1404, 10.1587/transinf.2018EDL8211 Kührer, 2014, "Paint it black: Evaluating the effectiveness of malware blacklists.", In International Workshop on Recent Advances in Intrusion Detection Springer Cham, 1 Tounsi, 2018, "A survey on technical threat intelligence in the age of sophisticated cyber attacks.", Computers & security, 72, 212, 10.1016/j.cose.2017.09.001 Alieyan, 2017, "A survey of botnet detection based on DNS.", Neural Computing and Applications, 28, 1541, 10.1007/s00521-015-2128-0 Zhauniarovich, 2018, "A survey on malicious domains detection through DNS data analysis.", ACM Computing Surveys (CSUR), 51, 1, 10.1145/3191329 Moll, 2021, "Comparing quantum hybrid reinforcement learning to classical methods.", Human-Intelligent Systems Integration, 3, 15, 10.1007/s42454-021-00025-3 Houssein, E. H., Z. Abohashima, M. Elhoseny, and W. M. Mohamed. (2021) “Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray images.” arXiv preprint arXiv:2102.06535. Yang, Chao-Han Huck, J. Qi, S. Y. C. Chen, P. Y. Chen, S. M. Siniscalchi, X. Ma, and C. H. Lee. (2021) “Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition.” In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE 6523-6527. Adhikary, 2020, "Supervised learning with a quantum classifier using multi-level systems.", Quantum Information Processing, 19, 1, 10.1007/s11128-020-2587-9 Chen, Samuel Yen-Chi, Shinjae Yoo, and Yao-Lung L. Fang. (2020) “Quantum long short-term memory.” arXiv preprint arXiv:2009.01783. Herr, 2021, "Anomaly detection with variational quantum generative adversarial networks.", Quantum Science and Technology, 10.1088/2058-9565/ac0d4d H. Suryotrisongko and Y. Musashi (2020) “Botnet DGA Dataset.” IEEE Dataport doi:10.21227/rg6z-z622. Benedetti, 2019, "Parameterized quantum circuits as machine learning models.", Quantum Science and Technology, 4, 043001, 10.1088/2058-9565/ab4eb5 Du, 2020, "Expressive power of parametrized quantum circuits.", Physical Review Research, 2, 033125, 10.1103/PhysRevResearch.2.033125 Bergholm, Ville, J. Izaac, M. Schuld, C. Gogolin, M. Sohaib Alam, Shahnawaz Ahmed, Juan Miguel Arrazola, Carsten Blank, Alain Delgado, Soran Johangiri, Keri McKieman, Johannes Jakob Meyer, Zeyeu Niu, Antal Szava, and Nathan Killoran. (2018) “Pennylane: Automatic differentiation of hybrid quantum-classical computations.” arXiv preprint arXiv:1811.04968. Geoffrey, A. S. B. (2021) “Ab Initio Calculations of Dissociation Energy of Water Molecule on Near-Term Quantum Devices Using the Pennylane Interface to Quantum Hardware.” ChemRxiv. Gokhale, 2020, "Implementation of a quantum transfer learning approach to image splicing detection.", International Journal of Quantum Information, 18, 2050024, 10.1142/S0219749920500240 Havlíček, 2019, "Supervised learning with quantum-enhanced feature spaces.", Nature, 567, 209, 10.1038/s41586-019-0980-2 Schuld, 2020, "Circuit-centric quantum classifiers.", Physical Review A, 101, 032308, 10.1103/PhysRevA.101.032308 LaRose, 2019, "Overview and comparison of gate level quantum software platforms.", Quantum, 101, 130, 10.22331/q-2019-03-25-130 IBM (2021) “IBM Quantum.” IBM Quantum. https://quantum-computing.ibm.com Kebria, Parham M., Raohallah Alizadehsani, Syed Moshfeq Salaken, Ibrahim Hossain, Abbas Khosravi, Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward Tunsel, Mehrdad Saif. (2019) “Evaluating architecture impacts on deep imitation learning performance for autonomous driving.” In 2019 IEEE International Conference on Industrial Technology (ICIT) IEEE 865-870. Peters, Evan, J. Caldeira, Alan Ho, Stefan Leichenauer, Masoud Mohseni, Hartmut Neven, Panagiotis Spentzouris, Doug Strain, and Gabriel N. Perdue. (2021) “Machine learning of high dimensional data on a noisy quantum processor.” arXiv preprint arXiv:2101.09581.