Security incident management in ground transportation system using UAVs

Reshma, R.; Ramesh, T. K.; Kumar, P Sathish

doi:10.1109/iccic.2015.7435627

Cited by 13 publications

(3 citation statements)

References 5 publications

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“…Drones contribute to border security, assist in search and rescue operations, and identify both legal and illegal ships [50]. They can scan maritime environments for potential hazards like red tides and oil spills.…”

Section: Port Security Monitoringmentioning

confidence: 99%

Monitoring Nodal Transportation Assets with Uncrewed Aerial Vehicles: A Comprehensive Review

Askarzadeh,

Bridgelall,

Tolliver

2024

Drones

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Using Uncrewed Aerial Vehicles (UAVs) to monitor the condition of nodal transportation assets—airports, seaports, heliports, vertiports, and cargo terminals—presents a transformative approach to traditional inspection methods. The focus on nodal assets rather than linear assets like roads, railways, bridges, and waterways fills a gap in addressing the dynamic challenges specific to transportation hubs. This study reviews scholarly literature on applying UAV-based remote sensing (URS) techniques to assess the condition of various transportation hubs, which are critical junctures in global logistics networks. Utilizing a systematic literature review framework, this study reviewed 486 publications from 2015 to 2023 to extract insights from the evolving discourse on URS applications. The findings suggest that these emerging methods resulted in substantial enhancements in time saving, cost efficiency, safety, and reliability. Specifically, this study presents evidence on how URS approaches can overcome the constraints of conventional inspection methods by enabling rapid, high-precision mapping and surveillance in complex and constrained environments. The findings highlight the role of UAVs in enhancing operational workflows and decision making in transportation planning and maintenance. By bridging the gap between traditional practices and innovative technology, this research offers significant implications for stakeholders in the field, advocating for a shift towards more dynamic, cost-effective, and precise asset management strategies.

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Section: Port Security Monitoringmentioning

confidence: 99%

Monitoring Nodal Transportation Assets with Uncrewed Aerial Vehicles: A Comprehensive Review

Askarzadeh,

Bridgelall,

Tolliver

2024

Drones

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“…Projections indicate a noteworthy expansion in the UAV market, with an estimated value reaching USD 38.3 billion by 2027 [1]. UAVs play pivotal roles across diverse civil applications, encompassing express transportation [2], traffic control [3], data acquisition [4], disaster rescue [5], and intelligent agriculture generation [6,7].…”

Section: Introductionmentioning

confidence: 99%

Research on Unmanned Aerial Vehicle Path Planning

Luo,

Tian,

Wang

2024

Drones

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As the technology of unmanned aerial vehicles (UAVs) advances, these vehicles are increasingly being used in various industries. However, the navigation of UAVs often faces restrictions and obstacles, necessitating the implementation of path-planning algorithms to ensure safe and efficient flight. This paper presents innovative path-planning algorithms designed explicitly for UAVs and categorizes them based on algorithmic and functional levels. Moreover, it comprehensively discusses the advantages, disadvantages, application challenges, and notable outcomes of each path-planning algorithm, aiming to examine their performance thoroughly. Additionally, this paper provides insights into future research directions for UAVs, intending to assist researchers in future explorations.

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“…While piloting a commercial drone is a relatively easy task, most people are not aware of the information being constantly streamed back to its base, which might include camera feed, laser or radar range data, inertial measurements, and global coordinates from GPS. Because of this constant data sharing, which might be sensitive, information security becomes critical, especially when autonomous aerial vehicles are involved [6]. A robot with no security protocols in place can be brought down immediately by attackers, or its information can be stolen for nefarious purposes, including video footage or its GPS log history.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of DoS attacks on Commercial Wi-Fi-Based UAVs

Vasconcelos

Miani

Guizlini

et al. 2022

Int. j. commun. netw. inf. secur.

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One of the biggest challenges for the use of Unmanned Aerial Vehicles (UAVs) in large-scale real-world applications is security. However, most of research projects related to robotics does not discuss security issues, moving on directly to studying classical problems (i.e., perception, control, planning). This paper evaluates the effects of availability issues (Denial of Service attacks) in two commonly used commercially available UAVs (AR.Drone 2.0 and 3DR SOLO). Denial of Service (DoS) attacks are made while the vehicles are navigating, simulating common conditions found both by the general public and in a research scenario. Experiments show how effective such attacks are and demonstrate actual security breaches that create specific vulnerabilities. The results indicate that both studied UAVs are susceptible to several types of DoS attacks which can critically influence the performance of UAVs during navigation, including a decrease in camera functionality, drops in telemetry feedback and lack of response to remote control commands. We also present a tool that can be used as a failsafe mechanism to alert the user when a drone is reaching out a determined flight limit range, avoiding availability issues.

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Security incident management in ground transportation system using UAVs

Cited by 13 publications

References 5 publications

Monitoring Nodal Transportation Assets with Uncrewed Aerial Vehicles: A Comprehensive Review

Monitoring Nodal Transportation Assets with Uncrewed Aerial Vehicles: A Comprehensive Review

Research on Unmanned Aerial Vehicle Path Planning

Evaluation of DoS attacks on Commercial Wi-Fi-Based UAVs

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