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AI Based Drones for Security Concerns in Smart Cities

APTISI Transactions on Management (ATM) · Vol. 7 No. 2 (2022)

DOI
10.33050/atm.v7i2.1834
ISSN
2622-6804, 2622-6812
Published
2022-01-28
Publisher
Pandawan
Language
en
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The concept of a smart city has attracted the attention of all corners of the world. It updated with new technologies like AI, Blockchain, IoT, Drones, and many other things. Security in big cities is one of the main concerns, and everyone wants to feel safe 24/7 in every activity they do. In this paper, our research aims to highlight the use and importance of drones for intelligent city management, especially in the context of security. The drone security management flow is explained using the methods and technical details. This is followed by discussion on security concern in cities and how it is dealt with AI based drones. In the conclusion section, it is discussed how emerging technology such as blockchain can help improve the management of smart cities. The use of drones supports the intelligent city concept with all its advantages in regional monitoring. Concept of smart cities is catching attention across the globe and it’s important as per context of emerging economies. In this paper, we discussed about the use of emerging technologies to make it possible. AI, Blockchain and Drone technologies are playing important role. Their significance and attention by researchers in exploring possibilities is shown in this paper. This paper will be very useful for researchers and engineers working in the same domain.

Keywords

Collaboration network of the authors

40 authors · 100 co-authorship links · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Raharja
  • Institut Teknologi Medan
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Kawal AroraAffiliation unknown3
Alfiah KhoirunisaUniversitas Raharja3
Untung RahardjaAffiliation unknown2
Adam FaturahmanAffiliation unknown2
Roshan PrakashAffiliation unknown2
Saksham ChaurasiaAffiliation unknown2
Alexander WilliamsAffiliation unknown1
Sella AvionitaAffiliation unknown1
Indra WijayaAffiliation unknown1
Rosa LesmanaAffiliation unknown1
Harry AgustianAffiliation unknown1
Sipah AudiahAffiliation unknown1
Suwarno SuwarnoInstitut Teknologi Medan1
Hardi MulyonoAffiliation unknown1
Irma IdayatiAffiliation unknown1
Dewi ParamitaAffiliation unknown1
Felix SutisnaAffiliation unknown1
Tiurida Lily AnitaAffiliation unknown1
Thomas Sumarsan GohAffiliation unknown1
Ahmed KhanAffiliation unknown1
Srishti BiswasAffiliation unknown1
Ritesh MishraAffiliation unknown1
Ninda LutfianiUniversitas Raharja1
ChoiriyahAffiliation unknown1
Marviola HardiniAffiliation unknown1
Megha UpretiAffiliation unknown1
Chitra PandeyAffiliation unknown1
Buphest RawatAffiliation unknown1
Mukti BudiartoUniversitas Raharja1
Ari AsmawatiAffiliation unknown1
Prakriti RashiAffiliation unknown1
Wahyu Yustika PrihastiwiAffiliation unknown1
Irsa Rizkita AdianitaAffiliation unknown1
yusuf febriansyahAffiliation unknown1
Greisy JacquelineAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ijc.ilearning.co/ATM/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">AI Based Drones for Security Concerns in Smart Cities</dc:title>
	<dc:creator xml:lang="en">Rawat, Bhupesh</dc:creator>
	<dc:creator xml:lang="en">Bist, Ankur Singh</dc:creator>
	<dc:creator xml:lang="en">Apriani, Desy</dc:creator>
	<dc:creator xml:lang="en">Permadi, Nur Ihsan</dc:creator>
	<dc:creator xml:lang="en">Nabila, Efa Ayu</dc:creator>
	<dc:creator xml:lang="id">Bist, Ankur Singh</dc:creator>
	<dc:subject xml:lang="en">Smart City</dc:subject>
	<dc:subject xml:lang="en">AI</dc:subject>
	<dc:subject xml:lang="en">Blockchain</dc:subject>
	<dc:subject xml:lang="en">Drones</dc:subject>
	<dc:description xml:lang="en">The concept of a smart city has attracted the attention of all corners of the world. It updated with new technologies like AI, Blockchain, IoT, Drones, and many other things. Security in big cities is one of the main concerns, and everyone wants to feel safe 24/7 in every activity they do. In this paper, our research aims to highlight the use and importance of drones for intelligent city management, especially in the context of security. The drone security management flow is explained using the methods and technical details. This is followed by discussion on security concern in cities and how it is dealt with AI based drones.  In the conclusion section, it is discussed how emerging technology such as blockchain can help improve the management of smart cities. The use of drones supports the intelligent city concept with all its advantages in regional monitoring. Concept of smart cities is catching attention across the globe and it’s important as per context of emerging economies. In this paper, we discussed about the use of emerging technologies to make it possible. AI, Blockchain and Drone technologies are playing important role. Their significance and attention by researchers in exploring possibilities is shown in this paper. This paper will be very useful for researchers and engineers working in the same domain.</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2022-01-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijc.ilearning.co/ATM/article/view/1834</dc:identifier>
	<dc:identifier>10.33050/atm.v7i2.1834</dc:identifier>
	<dc:source xml:lang="en">APTISI Transactions on Management (ATM); Vol. 7 No. 2 (2023): May; 122~127</dc:source>
	<dc:source xml:lang="id">APTISI Transactions on Management (ATM); Vol 7 No 2 (2023): May; 122~127</dc:source>
	<dc:source>2622-6804</dc:source>
	<dc:source>2622-6812</dc:source>
	<dc:source>10.33050/atm.v7i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://ijc.ilearning.co/ATM/article/view/1834/789</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 Bhupesh Rawat, Ankur Singh Bist, Desy Apriani, Nur Ihsan Permadi, Efa Ayu Nabila (Author)</dc:rights>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>