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Research Article
Autonomous Cybersecurity Systems for Space Exploration Missions: A Human-centered Approach Using Cognitive Architectures and Human-Machine Interface
Anahita Tasdighi*
Issue:
Volume 8, Issue 1, March 225
Pages:
1-15
Received:
9 December 2024
Accepted:
23 December 2024
Published:
21 January 2025
DOI:
10.11648/j.ajcst.20250801.11
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Abstract: As humanity embarks on ambitious space exploration endeavors, the integration of advanced technologies is crucial for mission success; however, this technological evolution also introduces a host of cybersecurity challenges that could jeopardize the integrity and safety of these missions. This paper examines the complex landscape of cybersecurity threats specific to space exploration, emphasizing the vulnerabilities associated with the growing reliance on digital systems and interconnected devices. To address these challenges, we propose the design and implementation of autonomous cybersecurity systems tailored for space exploration missions, central to our approach being the incorporation of cognitive architectures that focus on human-centered design (HCD). By understanding the cognitive processes and behaviors of users, we can create interfaces and systems that enhance situational awareness and streamline human-machine interactions, empowering mission personnel with intuitive tools that facilitate effective decision-making in high-pressure environments while strengthening the security posture of space missions. The implications of autonomous systems and Internet of Things (IoT) technologies in space exploration are profound, as these innovations introduce new vectors for potential cyberattacks; our research explores how a human-centered approach can mitigate these risks by designing cybersecurity systems that align with human cognitive capabilities. By leveraging insights from cognitive architectures, we can develop autonomous systems that not only detect and respond to threats but also adapt to the unique operational contexts of space missions. Through an analysis of case studies and current practices, this paper provides a comprehensive overview of existing vulnerabilities in space exploration cybersecurity, outlining strategic recommendations for enhancing cybersecurity frameworks that prioritize user experience and cognitive insights. These recommendations aim to create resilient systems capable of protecting mission-critical data while ensuring seamless collaboration between human operators and autonomous technologies. In conclusion, our research underscores the critical importance of designing and implementing autonomous cybersecurity systems that are informed by human-centered principles; by prioritizing cognitive architectures and effective human-machine interfaces, we can develop robust solutions that mitigate risks and enhance the overall effectiveness of space exploration missions in an increasingly complex cyber landscape, ultimately safeguarding the future of space exploration while empowering mission personnel to navigate the challenges posed by evolving cyber threats effectively.
Abstract: As humanity embarks on ambitious space exploration endeavors, the integration of advanced technologies is crucial for mission success; however, this technological evolution also introduces a host of cybersecurity challenges that could jeopardize the integrity and safety of these missions. This paper examines the complex landscape of cybersecurity t...
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Research Article
A Locking Detection Device and Control Method Based on Vector Airrudder for Autonomous Aerial Refueling
Issue:
Volume 8, Issue 1, March 2025
Pages:
16-22
Received:
30 December 2024
Accepted:
13 January 2025
Published:
24 January 2025
DOI:
10.11648/j.ajcst.20250801.12
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Abstract: With the increasing need to safeguard distant maritime interests and national security, aerial refueling has emerged as a critical method for extending the endurance of aircraft during long missions. Autonomous aerial refueling, which eliminates the need for human intervention, is particularly advantageous but also faces significant challenges. These challenges include wake turbulence and airflow disturbances, which can negatively impact the docking precision and success rates. To address these issues, this paper proposes an optical signal-based automatic locking detection device specifically designed for unmanned autonomous aerial refueling. This device ensures accurate and reliable detection of the docking status. Furthermore, to mitigate the disturbances caused by wake turbulence on the parachute cone, a novel vector air rudder-based control scheme is introduced. This scheme enables precise three-dimensional displacement control of the parachute cone, significantly enhancing docking accuracy. Extensive simulation results verify the effectiveness of the proposed device and control method, demonstrating marked improvements in docking precision, docking success rates, and overall flight safety. This research provides valuable insights for advancing autonomous aerial refueling technology and ensuring its reliable application in practical scenarios.
Abstract: With the increasing need to safeguard distant maritime interests and national security, aerial refueling has emerged as a critical method for extending the endurance of aircraft during long missions. Autonomous aerial refueling, which eliminates the need for human intervention, is particularly advantageous but also faces significant challenges. The...
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Research Article
Simulation and Testing of Autonomous Cybersecurity Systems: Methodologies for Simulating Cyber-Attacks in Space to Test Effectiveness and Human Interactions
Anahita Tasdighi*
Issue:
Volume 8, Issue 1, March 2025
Pages:
23-39
Received:
11 January 2025
Accepted:
24 January 2025
Published:
17 February 2025
DOI:
10.11648/j.ajcst.20250801.13
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Abstract: The complexities of modern space missions have intensified the critical need for robust cybersecurity frameworks, particularly as operations become increasingly reliant on autonomous systems to safeguard against an ever-evolving landscape of cyber threats. This study presents a comprehensive investigation into the methodologies for simulating cyber-attack scenarios within the unique constraints of space environments, aiming to evaluate the effectiveness of autonomous cybersecurity systems (ACS) and human-machine collaboration under stress. Space environments pose unparalleled challenges, such as communication latency, limited bandwidth, and the high stakes of mission-critical operations, which require innovative approaches to cybersecurity. Our research introduces a multi-layered simulation framework that integrates advanced artificial intelligence (AI) and machine learning (ML) technologies to model and assess attack vectors including malware infiltration, denial-of-service (DoS) attacks, and insider threats. Real-world mission data informs the design principles, ensuring high fidelity and operational relevance, while scalability and adaptability are prioritized to accommodate a range of mission profiles and evolving adversarial tactics. This work also explores the critical role of human operators within autonomous defense systems, analyzing cognitive load, decision-making processes, and the interplay of trust in automation during high-pressure scenarios. By employing rigorous testing protocols and diverse metrics, including system detection rates, response times, and human interaction efficiency, the findings illuminate both the strengths and limitations of current ACS technologies. The study highlights the necessity for dynamic, modular architectures capable of adapting to new threats and mission requirements, as well as user-centered interface designs that mitigate cognitive overload. Furthermore, it underscores the importance of iterative testing and continuous refinement in aligning ACS capabilities with the unique demands of space operations. This research contributes a foundational framework for advancing cybersecurity resilience in space, offering valuable insights for practitioners, researchers, and stakeholders in an era of unprecedented digital inter connectivity and autonomous system dependency.
Abstract: The complexities of modern space missions have intensified the critical need for robust cybersecurity frameworks, particularly as operations become increasingly reliant on autonomous systems to safeguard against an ever-evolving landscape of cyber threats. This study presents a comprehensive investigation into the methodologies for simulating cyber...
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