Melola Discovery

← Melola Discovery

Akses terbuka Jurnal SINTA 1

CA-HBCA: A Software Engineering Framework for Secure, Scalable, and Adaptive Healthcare Blockchain Systems

Journal of Robotics and Control (JRC) · Vol. 6 No. 4 (2025) · hlm. 2052–2063

DOI
10.18196/jrc.v6i4.26643
ISSN
2715-5072, 2715-5056
Terbit
2025-08-09
Penerbit
Universitas Muhammadiyah Yogyakarta
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Secure, scalable, and compliant solutions are becoming a requirement for healthcare systems handling sensitive medical data. Blockchain presents unique opportunities to create transparency and trust that is decentralized, yet has inherent challenges posed by scalability, sustainability and regulation. This study presents CA-HBCA, a Cognitive and Adaptive Software Engineering Framework for intelligent healthcare blockchain applications. The novel contribution of the research is the combination of four sledging modules, such as an AIbased cognitive security layer that triggers real-time anomaly detection, an adaptive sustainability engine that optimises energyperformance, a DevSecOps-based continuous delivery pipline, and a HL7/FHIR-compliant interoperability and consent management layer. Methodologically, the FEACAN was realized with Solidity, TensorFlow, and Ethereum/Hyperledger testnets, and tested by simulating healthcare scenarios such as EHR exchange, and adversary search. We obtained 93.2% precision of anomaly detection, 17.6% reduction of energy consumption, 42 transactions per second throughput in Hyperledger, and 98.7% of success rate of HL7-FHIR transformation, etc. The framework also demonstrated 100% smart contract–based consent compliance under test cases. The results indicate that CA-HBCA can be employed for the establishment of secure, sustainable and regulation-compliant blockchains in digital health infrastructures. In the future, we will also carry out validation with clinical real data sets and investigate the scalability in a variety of healthcare settings.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 170 tautan kepenulisan bersama · 117 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • University of Basrah
  • Southern Technical University
  • Shatt Al-Arab University College
  • Universiti Sains Malaysia
  • University of Jordan
  • King Faisal University
  • University of Warith Al-Anbiyaa
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Mohammed Amin AlmaiahUniversity of Jordan13
Zainab Marid AlzamiliAfiliasi tidak diketahui12
Abbas Jalal KaisheshUniversity of Kerbala7
Faris K. AL-ShammriUniversity of Warith Al-Anbiyaa6
Murtaja Ali SaareUniversity of Basrah6
Hussein Ahmed AliUniversity of Kirkuk6
Huda Mohammed AlsayednoorShatt Al-Arab University College5
Md Asri NgadiUniversity of Technology Malaysia5
Abdulaziz Zaid A. AljarwanUniversity of Ha'il5
Ali A. AlaidanyShatt Al-Arab University College5
Mansour ObeidatAfiliasi tidak diketahui4
Bushra Abdullah ShtaytSouthern Technical University4
Karrar Ali AbdullahShatt Al-Arab University College4
Abdulnasser AbdulJabbar AbboodAfiliasi tidak diketahui3
Ghazi Jalal KasheshUniversity of Kerbala3
May Adnan FalehSouthern Technical University3
Ali M. AbdulsadaUniversity of Warith Al-Anbiyaa3
Mohamed Abdulrahman AbdulhamedUniversity of Basrah3
Selvakumar ManickamUniversiti Sains Malaysia2
Shankar KaruppayahUniversiti Sains Malaysia2
Rommel Mahmoud AlAliKing Faisal University2
Marwa K. FarhanMinistry of Higher Education and Scientific Research2
Rommel Al AliAfiliasi tidak diketahui2
Saadaldeen Rashid AhmedAl-Ayen Iraqi University2
Nada Mohammed MuradMinistry of Higher Education and Scientific Research2
Ali Adil YassinUniversity of Basrah1
Devamekalai NagasundaramUniversiti Sains Malaysia1
Sababathy PalanisamyUniversiti Sains Malaysia1
Erum AshrafBahria University1
Mohammed Thakir MahmoodAfiliasi tidak diketahui1
Wassan Adnan HashimAl-Qalam University1
Saadaldeen Rashid AhmedBayan University1
Ali K. MattarShatt Al-Arab University College1
Khansaa Azeez Obayes Al-HusseiniAl-Furat Al-Awsat Technical University1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.umy.ac.id/index.php/jrc/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">CA-HBCA: A Software Engineering Framework for Secure, Scalable, and Adaptive Healthcare Blockchain Systems</dc:title>
	<dc:creator>Qasim, Mustafa Moosa</dc:creator>
	<dc:creator>Altmemi, Jalal M. H.</dc:creator>
	<dc:creator>Ali, Akram Hussain Abd</dc:creator>
	<dc:creator>Al-Shareeda‬‏, ‪Mahmood A.</dc:creator>
	<dc:creator>Almaiah, Mohammed Amin</dc:creator>
	<dc:creator>Shehab, Rami</dc:creator>
	<dc:subject xml:lang="en-US">Software Engineering</dc:subject>
	<dc:subject xml:lang="en-US">Blockchain in Healthcare</dc:subject>
	<dc:subject xml:lang="en-US">FHIR Interoperability</dc:subject>
	<dc:subject xml:lang="en-US">Smart Contracts</dc:subject>
	<dc:subject xml:lang="en-US">Energy Optimization</dc:subject>
	<dc:subject xml:lang="en-US">Anomaly Detection</dc:subject>
	<dc:description xml:lang="en-US">Secure, scalable, and compliant solutions are becoming a requirement for healthcare systems handling sensitive medical data. Blockchain presents unique opportunities to create transparency and trust that is decentralized, yet has inherent challenges posed by scalability, sustainability and regulation. This study presents CA-HBCA, a Cognitive and Adaptive Software Engineering Framework for intelligent healthcare blockchain applications. The novel contribution of the research is the combination of four sledging modules, such as an AIbased cognitive security layer that triggers real-time anomaly detection, an adaptive sustainability engine that optimises energyperformance, a DevSecOps-based continuous delivery pipline, and a HL7/FHIR-compliant interoperability and consent management layer. Methodologically, the FEACAN was realized with Solidity, TensorFlow, and Ethereum/Hyperledger testnets, and tested by simulating healthcare scenarios such as EHR exchange, and adversary search. We obtained 93.2% precision of anomaly detection, 17.6% reduction of energy consumption, 42 transactions per second throughput in Hyperledger, and 98.7% of success rate of HL7-FHIR transformation, etc. The framework also demonstrated 100% smart contract–based consent compliance under test cases. The results indicate that CA-HBCA can be employed for the establishment of secure, sustainable and regulation-compliant blockchains in digital health infrastructures. In the future, we will also carry out validation with clinical real data sets and investigate the scalability in a variety of healthcare settings.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Yogyakarta</dc:publisher>
	<dc:date>2025-08-09</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://journal.umy.ac.id/index.php/jrc/article/view/26643</dc:identifier>
	<dc:identifier>10.18196/jrc.v6i4.26643</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Robotics and Control (JRC); Vol. 6 No. 4 (2025); 2052-2063</dc:source>
	<dc:source>2715-5072</dc:source>
	<dc:source>2715-5056</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.umy.ac.id/index.php/jrc/article/view/26643/11806</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Mustafa Moosa Qasim, Jalal M. H. Altmemi, Akram Hussain Abd Ali, ‪Mahmood A. Al-Shareeda‬‏, Mohammed Amin Almaiah, Rami Shehab</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>