Rule-Based Hybrid Adaptive Encryption Model for Autonomous Flight to Secure UAS Data Streams in Real-Time

Fadjimata I. Anaroua; Yongxin Liu; Hong Liu

doi:10.1109/ICSC65596.2025.11140563

Rule-Based Hybrid Adaptive Encryption Model for Autonomous Flight to Secure UAS Data Streams in Real-Time

Fadjimata I. Anaroua, Yongxin Liu, Hong Liu

Embry-Riddle Aeronautical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2025 5th Intelligent Cybersecurity Conference, ICSC 2025
Editors	Mohammad Alsmirat, Fahed Alkhabbas, Muhammad Al-Abdullah, Yaser Jararweh
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	333-340
Number of pages	8
ISBN (Electronic)	9798350392920
DOIs	https://doi.org/10.1109/ICSC65596.2025.11140563
State	Published - 2025
Externally published	Yes
Event	5th Intelligent Cybersecurity Conference, ICSC 2025 - Tampa, United States Duration: May 19 2025 → May 22 2025

Publication series

Name	2025 5th Intelligent Cybersecurity Conference, ICSC 2025

Conference

Conference	5th Intelligent Cybersecurity Conference, ICSC 2025
Country/Territory	United States
City	Tampa
Period	5/19/25 → 5/22/25

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Safety, Risk, Reliability and Quality

Keywords

adaptive encryption
autonomous systems
cryptography
data streams
environmental factors
system resources
threat intelligence

Access to Document

10.1109/ICSC65596.2025.11140563

Cite this

Anaroua, F. I., Liu, Y., & Liu, H. (2025). Rule-Based Hybrid Adaptive Encryption Model for Autonomous Flight to Secure UAS Data Streams in Real-Time. In M. Alsmirat, F. Alkhabbas, M. Al-Abdullah, & Y. Jararweh (Eds.), 2025 5th Intelligent Cybersecurity Conference, ICSC 2025 (pp. 333-340). (2025 5th Intelligent Cybersecurity Conference, ICSC 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSC65596.2025.11140563

Rule-Based Hybrid Adaptive Encryption Model for Autonomous Flight to Secure UAS Data Streams in Real-Time. / Anaroua, Fadjimata I.; Liu, Yongxin; Liu, Hong.
2025 5th Intelligent Cybersecurity Conference, ICSC 2025. ed. / Mohammad Alsmirat; Fahed Alkhabbas; Muhammad Al-Abdullah; Yaser Jararweh. Institute of Electrical and Electronics Engineers Inc., 2025. p. 333-340 (2025 5th Intelligent Cybersecurity Conference, ICSC 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Anaroua, FI, Liu, Y & Liu, H 2025, Rule-Based Hybrid Adaptive Encryption Model for Autonomous Flight to Secure UAS Data Streams in Real-Time. in M Alsmirat, F Alkhabbas, M Al-Abdullah & Y Jararweh (eds), 2025 5th Intelligent Cybersecurity Conference, ICSC 2025. 2025 5th Intelligent Cybersecurity Conference, ICSC 2025, Institute of Electrical and Electronics Engineers Inc., pp. 333-340, 5th Intelligent Cybersecurity Conference, ICSC 2025, Tampa, United States, 5/19/25. https://doi.org/10.1109/ICSC65596.2025.11140563

Anaroua FI, Liu Y, Liu H. Rule-Based Hybrid Adaptive Encryption Model for Autonomous Flight to Secure UAS Data Streams in Real-Time. In Alsmirat M, Alkhabbas F, Al-Abdullah M, Jararweh Y, editors, 2025 5th Intelligent Cybersecurity Conference, ICSC 2025. Institute of Electrical and Electronics Engineers Inc. 2025. p. 333-340. (2025 5th Intelligent Cybersecurity Conference, ICSC 2025). doi: 10.1109/ICSC65596.2025.11140563

Anaroua, Fadjimata I. ; Liu, Yongxin ; Liu, Hong. / Rule-Based Hybrid Adaptive Encryption Model for Autonomous Flight to Secure UAS Data Streams in Real-Time. 2025 5th Intelligent Cybersecurity Conference, ICSC 2025. editor / Mohammad Alsmirat ; Fahed Alkhabbas ; Muhammad Al-Abdullah ; Yaser Jararweh. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 333-340 (2025 5th Intelligent Cybersecurity Conference, ICSC 2025).

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Rule-Based Hybrid Adaptive Encryption Model for Autonomous Flight to Secure UAS Data Streams in Real-Time

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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