UAV Security Analysis Framework

Title

UAV Security Analysis Framework

Creator

Basan E.; Abramov E.; Gladkov N.; Lapina M.; Lapin V.; Mary Anita E.A.; Kumar S.

Description

This study presents a framework that allows for various types of checks to detect weaknesses in UAV subsystems. The UAV testing process is automated and allows the operator only to select the types of checks or types of structural and functional characteristics that the operator wants to test. To ensure the possibility of automated verification, implemented databases are used, which include a catalog of structural characteristics, threats, vulnerabilities, and attacks. These catalogs are many-to-many related, and thanks to these links, it is possible to identify threats or vulnerabilities specific to a particular structural characteristic. In essence, such an architecture is a knowledge base based on an ontological model. Thanks to this architecture of the system, it is enough for the operator to determine what types of structural characteristics need to be checked and the system will give him information about the vulnerabilities of the UAV. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Source

Lecture Notes in Networks and Systems, Vol-865, pp. 379-391.

Date

2024-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Attacks; Database; Neural network; Threats; UAV; Vulnerabilities

Coverage

Basan E., Southern Federal University, Taganrog, 347922, Russian Federation; Abramov E., Southern Federal University, Taganrog, 347922, Russian Federation; Gladkov N., Southern Federal University, Taganrog, 347922, Russian Federation; Lapina M., North Caucasian Federal University, Stavropol, 355017, Russian Federation; Lapin V., Stavropol Regional Clinical Advisory and Diagnostic Center, Stavropol, 355000, Russian Federation; Mary Anita E.A., CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Kumar S., CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981999042-9

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-99-9043-6_31

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190386256&doi=10.1007%2f978-981-99-9043-6_31&partnerID=40&md5=b1199c268b2177cc0a4ccd12af0aea4c