A Secure Communication Protocol for Drones and Smart Objects

Won, Jongok; Seo, Seung-Hyun; Bertino, Elisa

doi:10.1145/2714576.2714616

Cited by 66 publications

(25 citation statements)

References 26 publications

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“…UAVs can play an essential role in providing a mobile wireless sensor network [54,57,62], network relay connectivity and situational awareness [63]. They are expected to communicate with many different smart objects, such as sensors and embedded devices [64]. Their mobility [61], the ability to provide real-time data [65] and the potential to carry hardware for on-board decision making [66] make UAVs the ideal candidate.…”

Section: Smart City Sensingmentioning

confidence: 99%

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Hildmann

Kovács²

2019

Drones

181

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The use of UAVs in areas ranging from agriculture over urban services to entertainment or simply as a hobby has rapidly grown over the last years. Regarding serious/commercial applications, UAVs have been considered in the literature, especially as mobile sensing/actuation platforms (i.e., as a delivery platform for an increasingly wide range of sensors and actuators). With regard to timely, cost-effective and very rich data acquisition, both, NEC Research as well as TNO are pursuing investigations into the use of UAVs and swarms of UAVs for scenarios where high-resolution requirements, prohibiting environments or tight time constraints render traditional approaches ineffective. In this review article, we provide a brief overview of safety and security-focused application areas that we identified as main targets for industrial and commercial projects, especially in the context of intelligent autonomous systems and autonomous/semi-autonomously operating swarms. We discuss a number of challenges related to the deployment of UAVs in general and to their deployment within the identified application areas in particular. As such, this article is meant to serve as a review and overview of the literature and the state-of-the-art, but also to offer an outlook over our possible (near-term) future work and the challenges that we will face there.

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Section: Smart City Sensingmentioning

confidence: 99%

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Hildmann

Kovács²

2019

Drones

181

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“…Based on the schemes of References [20,[22][23][24], we present a novel certificateless hybrid signcryption scheme, which is a certificateless public key cryptography [1].…”

Section: A Novel Certificateless Hybrid Signcryptionmentioning

confidence: 99%

Secure and Efficient Data Sharing Scheme Based on Certificateless Hybrid Signcryption for Cloud Storage

Luo

2019

Electronics

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As cloud service providers are not completely trusted, people are increasingly concerned about security issues such as data confidentiality and user privacy. In many existing schemes, the private key generator (PKG) generates a full private key for each user, which means that the PKG can forge a valid signature or decrypt the ciphertext. To address the issue, we first present a novel certificateless hybrid signcryption (CL-HSC) scheme without pairing, in which the PKG only generates the partial private keys for users. It is provably secure under the Elliptic Curve Computational Diffie-Hellman (EC-CDH) assumption in the random oracle model. Then, we propose a key derivation method by which the data owner only needs to maintain the master key to get rid of the complex key management. By combining our proposed CL-HSC scheme and the key derivation method, we present a secure and efficient data-sharing scheme for cloud storage, which can resist collusion attacks, spoofing attacks, and replay attacks and makes user revocation easier. In addition, compared with some existing schemes, our scheme has a lower computational complexity.

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“…In [35], the authors proposed a secure communication protocol between drones and smart objects based on efficient Certificateless Signcryption Tag Key Encapsulation Mechanism using ECC, which addresses issue of drone capture.…”

Section: Individual Dronesmentioning

confidence: 99%

Security, privacy and safety evaluation of dynamic and static fleets of drones

Akram¹,

Markantonakis²,

Mayes³

et al. 2017

2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)

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Abstract-Interconnected everyday objects, either via public or private networks, are gradually becoming reality in modern life -often referred to as the Internet of Things (IoT) or Cyber-Physical Systems (CPS). One stand-out example are those systems based on Unmanned Aerial Vehicles (UAVs). Fleets of such vehicles (drones) are prophesied to assume multiple roles from mundane to high-sensitive applications, such as prompt pizza or shopping deliveries to the home, or to deployment on battlefields for battlefield and combat missions. Drones, which we refer to as UAVs in this paper, can operate either individually (solo missions) or as part of a fleet (group missions), with and without constant connection with a base station. The base station acts as the command centre to manage the drones' activities; however, an independent, localised and effective fleet control is necessary, potentially based on swarm intelligence, for several reasons: 1) an increase in the number of drone fleets; 2) fleet size might reach tens of UAVs; 3) making time-critical decisions by such fleets in the wild; 4) potential communication congestion and latency; and 5) in some cases, working in challenging terrains that hinders or mandates limited communication with a control centre, e.g. operations spanning long period of times or military usage of fleets in enemy territory. This self-aware, mission-focused and independent fleet of drones may utilise swarm intelligence for a), air-traffic or flight control management, b) obstacle avoidance, c) self-preservation (while maintaining the mission criteria), d) autonomous collaboration with other fleets in the wild, 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.

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A Secure Communication Protocol for Drones and Smart Objects

Cited by 66 publications

References 26 publications

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety

Secure and Efficient Data Sharing Scheme Based on Certificateless Hybrid Signcryption for Cloud Storage

Security, privacy and safety evaluation of dynamic and static fleets of drones

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