ARCHIVES

[1]. Anderson, B. (2018). "Cyber Threat Landscapes." Journal of Information Security, 14(1), 14–25.
[2]. Brown, S. & White, T. (2019). "Emerging Patterns in Global Cyber Attacks." Computers & Security, 35(3), 345–356.
[3]. Davis, K. & Li, Y. (2020). "Adaptive Cyber Threat Monitoring Using Machine Learning." IEEE Transactions on Information Forensics,
44(2), 567–579.
[4]. Green, M. (2017). "Advanced Persistent Threats: A New Era in Cybersecurity." Cyber Defense Review, 8(4), 56–72.
[5]. Nielsen, M. & Chuang, I. (2010). Quantum Computation and Quantum Information. Cambridge University Press.
[6]. Lloyd, S., Mohseni, M., & Rebentrost, P. (2013). "Quantum Algorithms for Supervised and Unsupervised Machine Learning." arXiv
preprint rXiv:1307.0411.
[7]. Schuld, M. & Petruccione, F. (2018). Quantum Machine Learning: An Introduction. Springer.
[8]. Preskill, J. (2018). "Quantum Computing in the NISQ Era and Beyond." Quantum, 2, 79.
[9]. Montanaro, A. (2016). "Quantum Algorithms: An Overview." npj Quantum Information, 2(1), 15023.
[10]. Altepeter, J. B., Branning, D., & Jeffrey, E. R. (2019). "Beyond Cryptography: Quantum Security Perspectives." Security Informatics,
1(1), 28–39.
[11]. Grover, L. K. (1996). "A Fast Quantum Mechanical Algorithm for Database Search." Proceedings of the 28th Annual ACM Symposium
on Theory of Computing, 212–219.
[12]. Shor, P. (1994). "Algorithms for Quantum Computation: Discrete Logarithms and Factoring." Proceedings of the 35th Annual
Symposium on Foundations of Computer Science, 124–134.
[13]. Wiebe, N., Kapoor, A., & Svore, K. (2014). "Quantum Algorithms for Nearest-Neighbor Methods for Supervised and Unsupervised
Learning." Quantum Information & Computation, 15(3–4), 0318–0358.
[14]. Biamonte, J. et al. (2017). "Quantum Machine Learning." Nature, 549(7671), 195–202.
[15]. Campbell, E. T. et al. (2017). "Roads Towards Fault-Tolerant Universal Quantum Computation." Nature, 549(7671), 172–179.
[16]. Preskill, J. (2012). "Quantum Computing and the Entanglement Frontier." arXiv preprint arXiv:1203.5813.
[17]. Rebentrost, P. et al. (2014). "Quantum Support Vector Machine for Big Data Classification." Physical Review Letters, 113(13),
130503.
[18]. Briegel, H. & Raussendorf, R. (2001). "Persistent Entanglement in Arrays of Interacting Particles." Physical Review Letters, 86(5),
910–913.
[19]. Ingre, P. & Yadav, P. (2015). "Performance Analysis of NSL-KDD Dataset Using ANN." International Journal of Advanced Research
in Computer and Communication Engineering, 4(10), 446–452.
[20]. Han, G. & Memon, B. (2017). "Deep Learning Based Intrusion Detection Systems." Computers & Security, 73, 182–196.
[21]. Chen, X. et al. (2019). "A High-Performance IDS Using Deep Neural Networks." IEEE Access, 7, 181660–181672
[22]. Sommer, R. & Paxson, V. (2010). "Outside the Closed World: On Using Machine Learning for Network Intrusion Detection." IEEE
Symposium on Security and Privacy, 305–316.
[23]. Monroe, C. & Kim, J. (2013). "Scaling the Ion Trap Quantum Processor." Science, 339(6124), 1164–1169.
[24]. Devoret, M. & Schoelkopf, R. (2013). "Superconducting Circuits for Quantum Information: An Outlook." Science, 339(6124), 1169–
1174.
[25]. Mosca, M. (2018). "Cybersecurity in an Era with Quantum Computers: Will We Be Ready?" IEEE Security & Privacy, 16(5), 38–41.
[26]. Schuld, M., Sinayskiy, I., & Petruccione, F. (2015). "An Introduction to Quantum Machine Learning." Contemporary Physics, 56(2),
172–185.
[27]. Harrow, A., Hassidim, A., & Lloyd, S. (2009). "Quantum Algorithm for Solving Linear Systems." Physical Review Letters, 103(15),
150502.
[28]. Li, W., Cai, Q., & Li, S. (2021). "Quantum Clustering for Real-Time Anomaly Detection in Network Traffic." Journal of Cybersecurity
Research, 3(2),78-89.
[29]. Kim, Y. & Roy, K. (2022). "Hybrid Quantum-Classical Models for Intrusion Detection." Quantum Information Processing, 21(9), 313–
327.
[30]. Zhang, Y. & Wu, L. (2021). "Reinforcement Learning with Quantum SVM for Adaptive Cyber Threat Mitigation." IEEE Transactions
on Network and Service Management, 18(4), 465–479.
[31]. Arute, F. et al. (2019). "Quantum Supremacy Using a Programmable Superconducting Processor." Nature, 574(7779), 505–510.
[32]. Calpin, P. et al. (2021). "Mitigating Decoherence for Quantum Machine Learning." Physical Review A, 103(3), 032405.
[33]. Campbell, E. (2021). "A Theory of Fault-Tolerant Quantum Computation." Annual Review of Quantum Technologies, 4, 263–290.
[34]. Ciliberto, C. et al. (2018). "Quantum Machine Learning: A Classical Perspective." Proceedings of the Royal Society A, 474(2209),
20170551.
[35]. Schuld, M. (2021). "Effect of Data Encoding on the Complexity of Quantum Machine Learning Models." Quantum Machine
Intelligence, 3(2), 22–38.
[36]. Zhu, D. et al. (2022). "Quantum-Secure Frameworks for Machine Learning on Encrypted Traffic." IEEE Security & Privacy, 20(6),
45–51.