Transforming Humanitarian Response with IoT in Conflict Zones: Field Insights, Ethical Frameworks, and Deployment Challenges
DOI:
https://doi.org/10.62146/ijecbe.v3i1.112Keywords:
Humanitarian IoT, Conflict Zones, Cybersecurity, Blockchain, Ethical Data GovernanceAbstract
The integration of Internet of Things (IoT) solutions into the delivery of humanitarian aid can be potentially transformative in improving the effectiveness of operations, time management, and the coordination of logistics in conflict-affiliated areas. However, there are some critical challenges, which include poor infrastructure, limited and irregular network coverage, increased cyber security risk, and cultural issues. Despite the fact that most of the existing literature focuses on these issues separately, this thematic review is the first to offer an integrated review of the infrastructural, security, and ethical aspects of IoT implementation simultaneously. In particular, the review reveals new approaches; decentralized IoT architectures, blockchain-secured networks, AI-assisted data analysis, and alternative network architectures. Specifically, it focuses on ethical governance, of addressing technocolonial issues, fair data management, and design for communities. This paper provides original, practical contributions and recommendations for strategic implications that guide researchers, policymakers, and humanitarian practitioners to develop resilient, scalable, and ethically informed IoT deployments. The directions for future research are outlined to develop sustainable IoT practices, comprehensive governance frameworks, and multi-stakeholder collaborations to improve the resilience and ethical appropriateness of humanitarian aid operations.
References
J. Dugdale, M. T. Moghaddam, and H. Muccini, “IoT4Emergency,” ACM SIGSOFT Software Engineering Notes, vol. 46, no. 1, pp. 33–36, Jan. 2021, doi: 10.1145/3437479.3437489.
S. K. Ahmed, S. Hussein, D. Chandran, M. R. Islam, and K. Dhama, “The role of digital health in revolutionizing healthcare delivery and improving health outcomes in conflict zones,” Digit Health, vol. 9, p., 2023, doi: 10.1177/20552076231218158.
K. Stanski, “Humanitarian Health Responses in Urban Conflict Zones,” Daedalus, vol. 152, pp. 70–82, 2023, doi: 10.1162/daed_a_01993.
A. Fekete, L. Bross, S. Krause, F. Neisser, and K. Tzavella, “Bridging Gaps in Minimum Humanitarian Standards and Shelter Planning by Critical Infrastructures,” Sustainability, p., 2021, doi: 10.3390/SU13020849.
I. Idris, “Humanitarian Digital Transfers in Challenging Contexts,” p., 2024, doi: 10.19088/k4dd.2024.033.
M. Khan, S. Imtiaz, G. Parvaiz, A. Hussain, and J. Bae, “Integration of Internet-of-Things With Blockchain Technology to Enhance Humanitarian Logistics Performance,” IEEE Access, vol. 9, pp. 25422–25436, 2021, doi: 10.1109/ACCESS.2021.3054771.
M. Khan, G. Parvaiz, A. Ali, M. Jehangir, N. Hassan, and J. Bae, “A Model for Understanding the Mediating Association of Transparency between Emerging Technologies and Humanitarian Logistics Sustainability,” Sustainability, p., 2022, doi: 10.3390/su14116917.
U. A. Usmani, A. Happonen, and J. Watada, “Secure Integration of ioT-Enabled Sensors and Technologies: Engineering Applications for Humanitarian Impact,” 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), pp. 1–10, 2023, doi: 10.1109/HORA58378.2023.10156740.
A. K. Junejo, M. Breza, and J. McCann, “Threat Modeling for Communication Security of IoT-Enabled Digital Logistics,” Sensors (Basel), vol. 23, p., 2023, doi: 10.3390/s23239500.
R. Bail, J. Kovaleski, V. L. Da Silva, R. Pagani, and D. Chiroli, “Internet of things in disaster management: technologies and uses,” Environmental Hazards, vol. 20, pp. 493–513, 2021, doi: 10.1080/17477891.2020.1867493.
U. O. Paul-Chima et al., “Harnessing technology for infectious disease response in conflict zones: Challenges, innovations, and policy implications,” Medicine, vol. 103, p., 2024, doi: 10.1097/MD.0000000000038834.
W. Gutjahr, N. Noyan, N. Vandaele, and L. Wassenhove, “Innovative approaches in humanitarian operations,” Or Spectrum, vol. 42, pp. 585–589, 2020, doi: 10.1007/s00291-020-00598-6.
M. Centenaro, C. Costa, F. Granelli, C. Sacchi, and L. Vangelista, “A Survey on Technologies, Standards and Open Challenges in Satellite IoT,” IEEE Communications Surveys & Tutorials, vol. 23, pp. 1693–1720, 2021, doi: 10.1109/COMST.2021.3078433.
A. A. Pise et al., “Enabling Artificial Intelligence of Things (AIoT) Healthcare Architectures and Listing Security Issues,” Comput Intell Neurosci, vol. 2022, pp. 1–14, Aug. 2022, doi: 10.1155/2022/8421434.
R. Dwivedi, D. Mehrotra, and S. Chandra, “Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review,” J Oral Biol Craniofac Res, vol. 12, no. 2, pp. 302–318, Mar. 2022, doi: 10.1016/j.jobcr.2021.11.010.
H. Jeong, D. Yu, B. Min, and S. Lee, “The humanitarian flying warehouse,” Transportation Research Part E-logistics and Transportation Review, vol. 136, p. 101901, 2020, doi: 10.1016/j.tre.2020.101901.
A. Rejeb, K. Rejeb, S. Simske, and H. Treiblmaier, “Drones for supply chain management and logistics: a review and research agenda,” International Journal of Logistics Research and Applications, vol. 26, pp. 708–731, 2021, doi: 10.1080/13675567.2021.1981273.
D.-H. Tran, V.-D. Nguyen, S. Gautam, S. Chatzinotas, T. Vu, and B. Ottersten, “UAV Relay-Assisted Emergency Communications in IoT Networks: Resource Allocation and Trajectory Optimization,” IEEE Trans Wirel Commun, vol. 21, pp. 1621–1637, 2020, doi: 10.1109/TWC.2021.3105821.
A. Balasundaram, S. Routray, J. Prabu, P. Krishnan, P. P. Malla, and M. Maiti, “Internet of Things (IoT)-Based Smart Healthcare System for Efficient Diagnostics of Health Parameters of Patients in Emergency Care,” IEEE Internet Things J, vol. 10, pp. 18563–18570, 2023, doi: 10.1109/JIOT.2023.3246065.
C. Egger, “The politics and spaces of public-private partnerships in humanitarian tech innovations,” Environment and Planning C: Politics and Space, p., 2023, doi: 10.1177/23996544231206822.
S. Asaithambi et al., “Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things,” IEEE Access, vol. 12, pp. 12586–12601, 2024, doi: 10.1109/ACCESS.2024.3354846.
R. Dubey, A. Gunasekaran, D. Bryde, Y. K. Dwivedi, and T. Papadopoulos, “Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting,” Int J Prod Res, vol. 58, pp. 3381–3398, 2020, doi: 10.1080/00207543.2020.1722860.
H. D. Zubaydi, P. Varga, and S. Molnár, “Leveraging Blockchain Technology for Ensuring Security and Privacy Aspects in Internet of Things: A Systematic Literature Review,” Sensors (Basel), vol. 23, p., 2023, doi: 10.3390/s23020788.
E. Cadet, O. S. Osundare, H. O. Ekpobimi, Z. Samira, and Y. W. Weldegeorgise, “AI-powered threat detection in surveillance systems: A real-time data processing framework,” Open Access Research Journal of Engineering and Technology, p., 2024, doi: 10.53022/oarjet.2024.7.2.0057.
R. Ahmad and I. Alsmadi, “Machine learning approaches to IoT security: A systematic literature review,” Internet Things, vol. 14, p. 100365, 2021, doi: 10.1016/J.IOT.2021.100365.
P. Sun, S. Shen, Y. Wan, Z.-B. Wu, Z. Fang, and X.-Z. Gao, “A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends,” IEEE Internet Things J, vol. 11, pp. 34567–34591, 2024, doi: 10.1109/JIOT.2024.3372518.
M. Pradhan, “Federation Based on MQTT for Urban Humanitarian Assistance and Disaster Recovery Operations,” IEEE Communications Magazine, vol. 59, pp. 43–49, 2021, doi: 10.1109/MCOM.001.2000937.
F. Kagai, P. Branch, J. But, R. Allen, and M. Rice, “Rapidly Deployable Satellite-Based Emergency Communications Infrastructure,” IEEE Access, vol. 12, pp. 139368–139410, 2024, doi: 10.1109/ACCESS.2024.3465512.
G. Alvarez, J. Fraire, K. Hassan, S. Céspedes, and D. Pesch, “Uplink Transmission Policies for LoRa-Based Direct-to-Satellite IoT,” IEEE Access, vol. 10, pp. 72687–72701, 2022, doi: 10.1109/access.2022.3189647.
Z. Qin, H. Yao, T. Mai, D. Wu, N. Zhang, and S. Guo, “Multi-Agent Reinforcement Learning Aided Computation Offloading in Aerial Computing for the Internet-of-Things,” IEEE Trans Serv Comput, vol. 16, pp. 1976–1986, 2023, doi: 10.1109/TSC.2022.3190562.
S. E. Henriksen, “Humanitarian hacking: Merging refugee aid and digital capitalism,” J Refug Stud, p., 2024, doi: 10.1093/jrs/feae017.
K. Weitzberg, M. Cheesman, A. Martin, and E. Schoemaker, “Between surveillance and recognition: Rethinking digital identity in aid,” Big Data Soc, vol. 8, p., 2021, doi: 10.1177/20539517211006744.
M. Madianou, “Technocolonialism: Digital Innovation and Data Practices in the Humanitarian Response to Refugee Crises,” Soc Media Soc, vol. 5, p., 2019, doi: 10.1177/2056305119863146.
V. Lanfranchi, N. Noori, and T. Sirbu, “GPS-based solution for tracking and protecting humanitarians in conflict zones,” p., 2018, [Online]. Available: https://consensus.app/papers/gpsbased-solution-for-tracking-and-protecting-lanfranchi-noori/df4758c7cefb59c287253d9a6be5baa7/
I. Sahebi, B. Masoomi, and S. Ghorbani, “Expert oriented approach for analyzing the blockchain adoption barriers in humanitarian supply chain,” Technol Soc, vol. 63, p. 101427, 2020, doi: 10.1016/j.techsoc.2020.101427.
E. Luvison, S. Chatel, J. Sukaitis, V. G. Narbel, C. Troncoso, and W. Lueks, “A Low-Cost Privacy-Preserving Digital Wallet for Humanitarian Aid Distribution,” p., 2024, [Online]. Available: https://consensus.app/papers/a-lowcost-privacypreserving-digital-wallet-for-luvison-chatel/2b531ce40d565aa784b3f859192aabd5/
K. Sollins, “IoT Big Data Security and Privacy Versus Innovation,” IEEE Internet Things J, vol. 6, pp. 1628–1635, 2019, doi: 10.1109/JIOT.2019.2898113.
G. Pinto, P. K. Donta, S. Dustdar, and C. Prazeres, “A Systematic Review on Privacy-Aware IoT Personal Data Stores,” Sensors (Basel), vol. 24, p., 2024, doi: 10.3390/s24072197.
M. Madianou, “Technocolonialism: Digital Innovation and Data Practices in the Humanitarian Response to Refugee Crises,” Soc Media Soc, vol. 5, p., 2019, doi: 10.1177/2056305119863146.
C. Wang, Z. Guo, F. Shi, M. Chen, X. Wang, and J. Liu, “Research on emergency logistics information traceability model and resource optimization allocation strategies based on consortium blockchain,” PLoS One, vol. 19, p., 2024, doi: 10.1371/journal.pone.0303143.
C. L’Hermitte and N. Nair, “A blockchain-enabled framework for sharing logistics resources in emergency operations.,” Disasters, p., 2020, doi: 10.1111/disa.12436.
I. Butun and I. Mahgoub, “Expandable Mix-Zones as a Deception Technique for Providing Location Privacy on Internet-of- Battlefield Things (IoBT) Deployments,” IEEE Access, vol. 12, pp. 149647–149661, 2024, doi: 10.1109/ACCESS.2024.3461609.
V. Lanfranchi, N. Noori, and T. Sirbu, “GPS-based solution for tracking and protecting humanitarians in conflict zones,” p., 2018, [Online]. Available: https://consensus.app/papers/gpsbased-solution-for-tracking-and-protecting-lanfranchi-noori/df4758c7cefb59c287253d9a6be5baa7/
K. Kanciak, K. Wrona, and M. Jarosz, “Secure Onboarding and Key Management in Federated IoT Environments,” 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS), pp. 627–634, 2022, doi: 10.15439/2022F173.
M. Hunt, J. Pringle, M. Christen, L. Eckenwiler, L. Schwartz, and A. Davé, “Ethics of emergent information and communication technology applications in humanitarian medical assistance.,” Int Health, vol. 8 4, pp. 239–245, 2016, doi: 10.1093/inthealth/ihw028.
O. Rodríguez-Espíndola, S. Chowdhury, A. Beltagui, and P. Albores, “The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing,” Int J Prod Res, vol. 58, pp. 4610–4630, 2020, doi: 10.1080/00207543.2020.1761565.
A. Martin et al., “Digitisation and Sovereignty in Humanitarian Space: Technologies, Territories and Tensions,” Geopolitics, vol. 28, pp. 1362–1397, 2022, doi: 10.1080/14650045.2022.2047468.
R. K. Singh, “Leveraging technology in humanitarian supply chains: impacts on collaboration, agility and sustainable outcomes,” Journal of Humanitarian Logistics and Supply Chain Management, p., 2024, doi: 10.1108/jhlscm-05-2024-0063.
S. Siddiqui et al., “Toward Software-Defined Networking-Based IoT Frameworks: A Systematic Literature Review, Taxonomy, Open Challenges and Prospects,” IEEE Access, vol. 10, pp. 70850–70901, 2022, doi: 10.1109/access.2022.3188311.
A. Holiatkin and A. Moshynska, “Expanding the functionality of IoT devices in conditions of emergency situations,” Collection “Information Technology and Security,” p., 2023, doi: 10.20535/2411-1031.2023.11.2.293493.
A. Karale, “The Challenges of IoT Addressing Security, Ethics, Privacy, and Laws,” Internet Things, vol. 15, p. 100420, 2021, doi: 10.1016/J.IOT.2021.100420.
A. Khalid, J. Lavis, F. El-Jardali, and M. Vanstone, “Supporting the use of research evidence in decision-making in crisis zones in low- and middle-income countries: a critical interpretive synthesis,” Health Res Policy Syst, vol. 18, p., 2020, doi: 10.1186/s12961-020-0530-2.
T. Tabaklar, M. F. Sorkun, O. Yurt, and W. Yu, “Exploring the microfoundations of dynamic capabilities for social innovation in a humanitarian aid supply network setting,” Industrial Marketing Management, p., 2021, doi: 10.1016/J.INDMARMAN.2021.04.012.
R. Bail, J. Kovaleski, V. L. Da Silva, R. Pagani, and D. Chiroli, “Internet of things in disaster management: technologies and uses,” Environmental Hazards, vol. 20, pp. 493–513, 2021, doi: 10.1080/17477891.2020.1867493.
O. Rodríguez-Espíndola, S. Chowdhury, A. Beltagui, and P. Albores, “The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing,” Int J Prod Res, vol. 58, pp. 4610–4630, 2020, doi: 10.1080/00207543.2020.1761565.
R. Dubey, A. Gunasekaran, and C. Foropon, “Improving information alignment and coordination in humanitarian supply chain through blockchain technology,” J. Enterp. Inf. Manag., vol. 37, pp. 805–827, 2022, doi: 10.1108/jeim-07-2022-0251.
M. Ren, X. Fu, P. Pace, G. Aloi, and G. Fortino, “Collaborative Data Acquisition for UAV-Aided IoT Based on Time-Balancing Scheduling,” IEEE Internet Things J, vol. 11, pp. 13660–13676, 2024, doi: 10.1109/JIOT.2023.3339136.
M. Adil et al., “UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions,” ACM Comput Surv, vol. 56, pp. 1–35, 2024, doi: 10.1145/3657287.
B. Yang et al., “Unmanned Aerial Vehicle Assisted Post-Disaster Communication Coverage Optimization Based on Internet of Things Big Data Analysis,” Sensors (Basel), vol. 23, p., 2023, doi: 10.3390/s23156795.
G. Kabra, R. Anbanandam, V. Jain, and P. Akhtar, “Barriers to information and digital technology adoption in humanitarian supply chain management: a fuzzy AHP approach,” J. Enterp. Inf. Manag., vol. 36, pp. 505–527, 2023, doi: 10.1108/jeim-10-2021-0456.
N. Wang, M. Christen, and M. Hunt, “Ethical Considerations Associated with ‘Humanitarian Drones’: A Scoping Literature Review,” Sci Eng Ethics, vol. 27, p., 2021, doi: 10.1007/s11948-021-00327-4.
H. Baharmand, A. Maghsoudi, and G. Coppi, “Exploring the application of blockchain to humanitarian supply chains: insights from Humanitarian Supply Blockchain pilot project,” International Journal of Operations & Production Management, p., 2021, doi: 10.1108/IJOPM-12-2020-0884.
A. Buzachis, M. Fazio, A. Galletta, A. Celesti, and M. Villari, “Infrastructureless IoT-as-a-Service for Public Safety and Disaster Response,” 2019 7th International Conference on Future Internet of Things and Cloud (FiCloud), pp. 133–140, 2019, doi: 10.1109/FiCloud.2019.00026.
Dr. R. R., “Emergency Communication System for Hills and Forest Region Using IOT,” International Journal of Innovative Research in Information Security, p., 2024, doi: 10.26562/ijiris.2024.v1003.13.
K. Haseeb, I. U. Din, A. Almogren, N. Islam, and A. Altameem, “RTS: A Robust and Trusted Scheme for IoT-Based Mobile Wireless Mesh Networks,” IEEE Access, vol. 8, pp. 68379–68390, 2020, doi: 10.1109/ACCESS.2020.2985851.
Dr. R. R., “Emergency Communication System for Hills and Forest Region Using IOT,” International Journal of Innovative Research in Information Security, p., 2024, doi: 10.26562/ijiris.2024.v1003.13.
W. D. Paredes, H. Kaushal, I. Vakilinia, and Z. Prodanoff, “LoRa Technology in Flying Ad Hoc Networks: A Survey of Challenges and Open Issues,” Sensors (Basel), vol. 23, p., 2023, doi: 10.3390/s23052403.
I. Zhou, F. Tofigh, M. Piccardi, M. Abolhasan, D. Franklin, and J. Lipman, “Secure Multi-Party Computation for Machine Learning: A Survey,” IEEE Access, vol. 12, pp. 53881–53899, 2024, doi: 10.1109/ACCESS.2024.3388992.
C. Lupascu, A. Lupascu, and I. Bica, “DLT Based Authentication Framework for Industrial IoT Devices,” Sensors (Basel), vol. 20, p., 2020, doi: 10.3390/s20092621.
A. P. Kalapaaking, I. Khalil, and X. Yi, “Blockchain-Based Federated Learning With SMPC Model Verification Against Poisoning Attack for Healthcare Systems,” IEEE Trans Emerg Top Comput, vol. 12, pp. 269–280, 2023, doi: 10.1109/TETC.2023.3268186.
A. Hineman and M. Blaum, “A Modified Shamir Secret Sharing Scheme With Efficient Encoding,” IEEE Communications Letters, vol. 26, pp. 758–762, 2022, doi: 10.1109/lcomm.2022.3144375.
B. Alaya, L. Laouamer, and N. Msilini, “Homomorphic encryption systems statement: Trends and challenges,” Comput. Sci. Rev., vol. 36, p. 100235, 2020, doi: 10.1016/j.cosrev.2020.100235.
A. Al-Fuqaha, A. Khreishah, M. Guizani, A. Rayes, and M. Mohammadi, “Toward better horizontal integration among IoT services,” IEEE Communications Magazine, vol. 53, pp. 72–79, 2015, doi: 10.1109/MCOM.2015.7263375.
L. Brogaard, “Innovative outcomes in public-private innovation partnerships: a systematic review of empirical evidence and current challenges,” Public Management Review, vol. 23, pp. 135–157, 2021, doi: 10.1080/14719037.2019.1668473.
O. Rodríguez-Espíndola, S. Chowdhury, A. Beltagui, and P. Albores, “The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing,” Int J Prod Res, vol. 58, pp. 4610–4630, 2020, doi: 10.1080/00207543.2020.1761565.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 International Journal of Electrical, Computer, and Biomedical Engineering

This work is licensed under a Creative Commons Attribution 4.0 International License.