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Original Article

Prediction of Cyberattack on Software Supply Chain

  • Paper ID 226
  • Volume 5, Issue 5
  • Pages 13-18
  • Published Online: September-October 2025
  • 26 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Mohammed Muzaffar1
  • Dr. Khaja Mahabubullah2

1 Student, MCA, Deccan College of Engineering and Technology, Hyderabed, Telangana, India. 2 Professor & HOD, MCA, Deccan College of Engineering and Technology, Hyderabed, Telangana, India.

Article Information

Published Online
September-October 2025
Pages
13-18
Article Type
Original Article
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References

1. S. Boyson, “Cyber supply chain risk management: Revolutionizing the strategic control of critical IT systems,” Technovation, vol. 34, no. 7, pp. 342–353, 2014. doi: 10.1016/j.technovation.2014.02.001
2. A. Arora, D. Hall, C. A. Pinto, D. Ramsey, and R. Telang, “An ounce of prevention vs. a pound of cure: How can we measure the value of IT security solutions?,” Carnegie Mellon University, Heinz College, Tech. Rep., 2004.
3. W. Alasmary, F. Alhaidari, and A. Alghamdi, “Machine learning-based cyber-attack detection approaches for Internet of Things (IoT) applications: A review,” IEEE Access, vol. 9, pp. 123612–123626, 2021. doi: 10.1109/ACCESS.2021.3108913
4. S. Cheung, U. Lindqvist, and A. Valdes, “Detecting malicious software updates in critical infrastructure using behavior profiling,” in Proc. IEEE Int. Conf. Technologies for Homeland Security (HST), 2018, pp. 1–7.
5. T. M. Wani, S. Jabin, and R. Sharma, “Supply chain cybersecurity: Threats and challenges in the digital era,” Procedia Computer Science, vol. 173, pp. 112–119, 2020. doi: 10.1016/j.procs.2020.06.014
6. N. Dhanjani, Abusing the Internet of Things: Blackouts, Freakouts, and Stakeouts. Sebastopol, CA, USA: O’Reilly Media, 2015.
7. R. Sommer and V. Paxson, “Outside the closed world: On using machine learning for network intrusion detection,” in Proc. IEEE Symp. Security and Privacy, 2010, pp. 305–316. doi: 10.1109/SP.2010.25
8. Scikit-learn Developers, “Scikit-learn: Machine learning in Python,” 2024. [Online]. Available: https://scikit-learn.org/
9. Streamlit Inc., “Streamlit documentation,” 2024. [Online]. Available: https://docs.streamlit.io/
10. SANS Institute, “Securing the software supply chain,” White Paper, 2021. [Online]. Available: https://www.sans.org/white-papers/40220/
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  • ISSN 2583-1240
  • Open Access
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