389 research outputs found
Security, privacy and safety evaluation of dynamic and static fleets of drones
Inter-connected objects, either via public or private networks are the near
future of modern societies. Such inter-connected objects are referred to as
Internet-of-Things (IoT) and/or Cyber-Physical Systems (CPS). One example of
such a system is based on Unmanned Aerial Vehicles (UAVs). The fleet of such
vehicles are prophesied to take on multiple roles involving mundane to
high-sensitive, such as, prompt pizza or shopping deliveries to your homes to
battlefield deployment for reconnaissance and combat missions. Drones, as we
refer to UAVs in this paper, either can operate individually (solo missions) or
part of a fleet (group missions), with and without constant connection with the
base station. The base station acts as the command centre to manage the
activities of the drones. However, an independent, localised and effective
fleet control is required, potentially based on swarm intelligence, for the
reasons: 1) increase in the number of drone fleets, 2) number of drones in a
fleet might be multiple of tens, 3) time-criticality in making decisions by
such fleets in the wild, 4) potential communication congestions/lag, and 5) in
some cases working in challenging terrains that hinders or mandates-limited
communication with control centre (i.e., operations spanning long period of
times or military usage of such fleets in enemy territory). This self-ware,
mission-focused and independent fleet of drones that potential utilises swarm
intelligence for a) air-traffic and/or flight control management, b) obstacle
avoidance, c) self-preservation while maintaining the mission criteria, d)
collaboration with other fleets in the wild (autonomously) and e) assuring the
security, privacy and safety of physical (drones itself) and virtual (data,
software) assets. In this paper, we investigate the challenges faced by fleet
of drones and propose a potential course of action on how to overcome them.Comment: 12 Pages, 7 Figures, Conference, The 36th IEEE/AIAA Digital Avionics
Systems Conference (DASC'17
Internet of Drones (IoD): Threats, Vulnerability, and Security Perspectives
The development of the Internet of Drones (IoD) becomes vital because of a
proliferation of drone-based civilian or military applications. The IoD based
technological revolution upgrades the current Internet environment into a more
pervasive and ubiquitous world. IoD is capable of enhancing the
state-of-the-art for drones while leveraging services from the existing
cellular networks. Irrespective to a vast domain and range of applications, IoD
is vulnerable to malicious attacks over open-air radio space. Due to increasing
threats and attacks, there has been a lot of attention on deploying security
measures for IoD networks. In this paper, critical threats and vulnerabilities
of IoD are presented. Moreover, taxonomy is created to classify attacks based
on the threats and vulnerabilities associated with the networking of drone and
their incorporation in the existing cellular setups. In addition, this article
summarizes the challenges and research directions to be followed for the
security of IoD.Comment: 13 pages, 3 Figures, 1 Table, The 3rd International Symposium on
Mobile Internet Security (MobiSec'18), Auguest 29-September 1, 2018, Cebu,
Philippines, Article No. 37, pp. 1-1
Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms
The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications
Privaros: A Framework for Privacy-Compliant Delivery Drones
We present Privaros, a framework to enforce privacy policies on drones.
Privaros is designed for commercial delivery drones, such as the ones that will
likely be used by Amazon Prime Air. Such drones visit a number of host
airspaces, each of which may have different privacy requirements. Privaros
provides an information flow control framework to enforce the policies of these
hosts on the guest delivery drones. The mechanisms in Privaros are built on top
of ROS, a middleware popular in many drone platforms. This paper presents the
design and implementation of these mechanisms, describes how policies are
specified, and shows that Privaros's policy specification can be integrated
with India's Digital Sky portal. Our evaluation shows that a drone running
Privaros can robustly enforce various privacy policies specified by hosts, and
that its core mechanisms only marginally increase communication latency and
power consumption
Internet of Robotic Things Intelligent Connectivity and Platforms
The Internet of Things (IoT) and Industrial IoT (IIoT) have developed rapidly in the past few years, as both the Internet and “things” have evolved significantly. “Things” now range from simple Radio Frequency Identification (RFID) devices to smart wireless sensors, intelligent wireless sensors and actuators, robotic things, and autonomous vehicles operating in consumer, business, and industrial environments. The emergence of “intelligent things” (static or mobile) in collaborative autonomous fleets requires new architectures, connectivity paradigms, trustworthiness frameworks, and platforms for the integration of applications across different business and industrial domains. These new applications accelerate the development of autonomous system design paradigms and the proliferation of the Internet of Robotic Things (IoRT). In IoRT, collaborative robotic things can communicate with other things, learn autonomously, interact safely with the environment, humans and other things, and gain qualities like self-maintenance, self-awareness, self-healing, and fail-operational behavior. IoRT applications can make use of the individual, collaborative, and collective intelligence of robotic things, as well as information from the infrastructure and operating context to plan, implement and accomplish tasks under different environmental conditions and uncertainties. The continuous, real-time interaction with the environment makes perception, location, communication, cognition, computation, connectivity, propulsion, and integration of federated IoRT and digital platforms important components of new-generation IoRT applications. This paper reviews the taxonomy of the IoRT, emphasizing the IoRT intelligent connectivity, architectures, interoperability, and trustworthiness framework, and surveys the technologies that enable the application of the IoRT across different domains to perform missions more efficiently, productively, and completely. The aim is to provide a novel perspective on the IoRT that involves communication among robotic things and humans and highlights the convergence of several technologies and interactions between different taxonomies used in the literature.publishedVersio
Supporting UAVs with Edge Computing: A Review of Opportunities and Challenges
Over the last years, Unmanned Aerial Vehicles (UAVs) have seen significant
advancements in sensor capabilities and computational abilities, allowing for
efficient autonomous navigation and visual tracking applications. However, the
demand for computationally complex tasks has increased faster than advances in
battery technology. This opens up possibilities for improvements using edge
computing. In edge computing, edge servers can achieve lower latency responses
compared to traditional cloud servers through strategic geographic deployments.
Furthermore, these servers can maintain superior computational performance
compared to UAVs, as they are not limited by battery constraints. Combining
these technologies by aiding UAVs with edge servers, research finds measurable
improvements in task completion speed, energy efficiency, and reliability
across multiple applications and industries. This systematic literature review
aims to analyze the current state of research and collect, select, and extract
the key areas where UAV activities can be supported and improved through edge
computing
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