Air-Gapped Networks: Exfiltration without Privilege Escalation for Military and Police Units

Mohamed, Nachaat; Almazrouei, Saif Khameis; Oubelaid, Adel; Elsisi, Mahmoud; ElHalawany, Basem M.; Ghoneim, Sherif S. M.

doi:10.1155/2022/4697494

Cited by 23 publications

(8 citation statements)

References 25 publications

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“…5,31 Another notable work by Vogel and Balakrishnan explored the implications of using gestures in "public spaces", highlighting the social aspects and challenges of gesture-based interfaces. 32 In VR and AR, gesture control has been crucial in creating immersive experiences. Bowman et al's comprehensive survey of 3D user interfaces elaborated on the role of gestures in navigating virtual environments.…”

Section: Related Workmentioning

confidence: 99%

“…Historically, the rudimentary applications of this confluence were discernible in the use of hand gestures for smartphones or tablets, a domain that has since witnessed radical metamorphosis. 14,18,[23][24][25][26][28][29][30][31][32]34,35,[37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53] The contemporary landscape sees gesture control permeating environments as expansive as desktops, where intricate hand movements can seamlessly manage presentations or navigate through web interfaces. 38,39 At a granular level, the progression of gesture control traverses two salient trajectories: the deployment of specialized hardware and the adoption of software-centric solutions.…”

Section: Related Workmentioning

confidence: 99%

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Eye-gesture control of computer systems via artificial intelligence

Mohamed

2024

F1000Res

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Background Artificial Intelligence (AI) has the potential to significantly enhance human-computer interactions. This paper introduces a cutting-edge method for computer control using eye-gesture recognition. Methods Our system employs a sophisticated algorithm to accurately interpret eye movements, converting them into actionable commands. This technology not only improves accessibility for individuals with physical impairments, but also offers a more intuitive interaction mode for the general user base. Results We tested our method using a comprehensive dataset and achieved a remarkable accuracy rate of over 99.6283% in translating eye gestures into functional commands. Our system utilizes a variety of tools, including PyCharm, OpenCV, mediapipe, and pyautogui, to achieve these results. Conclusions We discuss potential applications of our technology, such as in the emerging field of gesture-controlled weaponry, which could have significant implications for military and rescue operations. Overall, our work represents a substantial step forward in integrating AI with human-computer interaction, enhancing accessibility, improving user engagement, and unlocking innovative applications for critical industries.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Eye-gesture control of computer systems via artificial intelligence

Mohamed

2024

F1000Res

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“…Another area of study has been the use of artificial intelligence (AI) for risk assessment and decision-making in the power sector [14]. These studies investigated the use of AI algorithms to identify and prioritize potential threats, as well as to assist decision-makers in making informed risk mitigation and response decisions [15,29]. This approach to AI and cybersecurity can assist organizations in more efficiently allocating resources and making decisions based on accurate and up-to-date information [16].…”

Section: ░ 3 Literature Reviewmentioning

confidence: 99%

Staying Ahead of Threats: A Review of AI and Cyber Security in Power Generation and Distribution

Mohamed¹,

Oubelaid

Almazrouei³

2023

IJEER

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The integration of artificial intelligence (AI) and the Internet of Things (IoT) in the power generation and distribution industry presents opportunities and challenges, particularly in the area of cybersecurity. Previous studies have explored the potential of AI to enhance cybersecurity in power systems, but limitations in terms of sample size and scope have hindered a comprehensive understanding of the current state of the field. To address this gap, this paper presents a systematic literature review of 30 papers that analyzes and categorizes relevant research based on their focus on threats, solutions, and future trends. The results indicate that 30 articles provide evidence supporting the use of AI and machine learning techniques to significantly enhance cybersecurity in the power sector. However, the study also highlights the need for continuous monitoring, threat intelligence, and risk management to stay ahead of evolving threats. Notably, this paper provides novel insights into the use of cybersecurity measures, blockchain technology, and awareness of the impact of AI in the power sector, with 90% of organizations using cybersecurity measures, 50% employing blockchain technology, 20% experiencing a cyberattack, and 60% being aware of the impact of AI. The study's limitations include a lack of detailed information on the organizations studied, such as their size and location, and the absence of a standardized approach to data collection across the selected papers. Nonetheless, this paper offers a valuable contribution to the field of AI and cybersecurity in the power industry by providing a comprehensive overview of the current state of research and identifying key areas for further investigation.

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“…Fuel economy 11 , vehicular communication systems 12 , intelligent vehicles 13 , 14 , unmanned transportation 15 , power management algorithms 16 , Power train architecture 17 , vehicle safety 18 , grid connected electric vehicles 19 , machine control 20 , 21 and power sources lifespan enhancement 22 , 23 are a prominent current trend in the realm of automotive engineering 24 .…”

Section: Introductionmentioning

confidence: 99%

New coordinated drive mode switching strategy for distributed drive electric vehicles with energy storage system

Oubelaid,

Kakouche,

Belkhier

et al. 2024

Sci Rep

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High performance and comfort are key features recommended in hybrid electric vehicle (HEV) design. In this paper, a new coordination strategy is proposed to solve the issue of undesired torque jerks and large power ripples noticed respectively during drive mode commutations and power sources switching. The proposed coordinated switching strategy uses stair-based transition function to perform drive mode commutations and power source switching’s within defined transition periods fitting the transient dynamics of power sources and traction machines. The proposed technique is applied on a battery/ supercapacitor electric vehicle whose traction is ensured by two permanent magnet synchronous machines controlled using direct torque control and linked to HEV front and rear wheels. Simulation results highlight that the proposed coordinated switching strategy has a noteworthy positive impact on enhancing HEV transient performance as DC bus fluctuations were reduced to a narrow band of 6 V and transient torque ripples were almost suppressed.

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Air-Gapped Networks: Exfiltration without Privilege Escalation for Military and Police Units

Cited by 23 publications

References 25 publications

Eye-gesture control of computer systems via artificial intelligence

Eye-gesture control of computer systems via artificial intelligence

Staying Ahead of Threats: A Review of AI and Cyber Security in Power Generation and Distribution

New coordinated drive mode switching strategy for distributed drive electric vehicles with energy storage system

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