About: Security Analysis of Drones Systems: Attacks, Limitations, and Recommendations

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Security Analysis of Drones Systems: Attacks, Limitations, and Recommendations Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Security Analysis of Drones Systems: Attacks, Limitations, and Recommendations
Creator	Salman, Ola Yaacoub, Jean-Paul Lebanon, Beirut Street, Aub
Source	Elsevier; PMC
abstract	Abstract Recently, the world witnessed a significant increase in the number of used drones, with a global and continuous rise in the demand for their multi-purpose applications. The pervasive aspect of these drones is due to their ability to answer people’s needs. Drones are providing users with a bird’s eye that can be activated and used almost anywhere and at any time. However, recently, the malicious use of drones began to emerge among criminals and cyber-criminals alike. The probability and frequency of these attacks are both high and their impact can be very dangerous with devastating effects. Therefore, the need for detective, protective and preventive counter-measures is highly required. The aim of this survey is to investigate the emerging threats of using drones in cyber-attacks, along the countermeasures to thwart these attacks. The different uses of drones for malicious purposes are also reviewed, along the possible detection methods. As such, this paper analyzes the exploitation of drones vulnerabilities within communication links, as well as smart devices and hardware, including smart-phones and tablets. Moreover, this paper presents a detailed review on the drone/Unmanned Aerial Vehicle (UAV) usage in multiple domains (i.e civilian, military, terrorism, etc.) and for different purposes. A realistic attack scenario is also presented, which details how the authors performed a simulated attack on a given drone following the hacking cycle. This review would greatly help ethical hackers to understand the existing vulnerabilities of UAVs in both military and civilian domains. Moreover, it allows them to adopt and come up with new techniques and technologies for enhanced UAV attack detection and protection. As a result, various civilian and military anti-drones/UAVs (detective and preventive) countermeasures will be reviewed.
has issue date	2020-05-08(xsd:dateTime)
bibo:doi	10.1016/j.iot.2020.100218
has license	els-covid
sha1sum (hex)	0cdcb926902d1878a7c8a48bfdb2d9c77ec5be02
schema:url	https://doi.org/10.1016/j.iot.2020.100218
resource representing a document's title	Security Analysis of Drones Systems: Attacks, Limitations, and Recommendations
has PubMed Central identifier	PMC7206421
resource representing a document's body	covid:0cdcb926902d1878a7c8a48bfdb2d9c77ec5be02#body_text
is schema:about of	named entity 'adopt' named entity 'detailed' named entity 'smart devices' named entity 'time' named entity 'drone' named entity 'preventive' named entity 'UAVs' named entity 'UAV' named entity 'paper' named entity 'countermeasures' named entity 'Attacks' named entity 'EFFECTS' named entity 'GLOBAL' named entity 'PROBABILITY' named entity 'POSSIBLE' named entity 'ATTACK' named entity 'DETECTION' named entity 'PREVENTIVE' named entity 'IMPACT' named entity 'presents' named entity 'vulnerabilities' named entity 'smart-phones' named entity 'users' named entity 'detection' named entity 'drones' named entity 'Drones' named entity 'However' named entity 'paper' named entity 'probability' named entity 'thwart' named entity 'The' named entity 'highly' named entity 'emerging' named entity 'Security Analysis' named entity 'Security Analysis' named entity 'malicious purposes' named entity 'UAVs' named entity 'cyber-attacks' named entity 'terrorism' named entity 'UAV' named entity 'UAV' named entity 'cyber-criminals' named entity 'smart-phones' named entity 'ethical hackers' named entity 'hacking' named entity 'Drones' named entity 'kinetic Methods' named entity 'Forensics' named entity 'Search & Rescue' named entity 'smuggling drugs' named entity 'Wi-Fi' named entity 'BBC News' named entity 'air quality' named entity 'UAV' named entity 'artillery batteries' named entity 'security threats' named entity 'artillery' named entity 'non-repudiation' named entity 'car crash' named entity 'HUMINT' named entity 'cyber-security' named entity 'UAVs' named entity 'world war' named entity 'stored images' named entity 'police department' named entity 'asymmetric warfare' named entity 'Spain' named entity 'Wi-Fi' named entity 'UAVs' named entity 'ciphertext' named entity 'UAV' named entity 'Counter-Terrorism' named entity 'Tokyo' named entity 'UAVs' named entity 'event reconstruction' named entity 'clandestine operations' named entity 'UAVs' named entity 'rules of engagement' named entity 'command guided' named entity 'Address Resolution Protocol' named entity 'wingspan'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software