The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges
Open accessAbstract
Abstract The explosive growth of smart objects and their dependency on wireless technologies for communication increases the vulnerability of Internet of Things (IoT) to cyberattacks. Cyberattacks faced by IoT present daunting challenges to digital forensic experts. Researchers adopt various forensic techniques to investigate such attacks. These techniques aim to track internal and external attacks by emphasizing on communication mechanisms and IoT’s architectural vulnerabilities. In this study, we explore IoT’s novel factors affecting traditional computer forensics. We investigate recent studies on IoT forensics by analyzing their strengths and weaknesses. We categorize and classify the literature by devising a taxonomy based on forensics phases, enablers, networks, sources of evidence, investigation modes, forensics models, forensics layers, forensics tools, and forensics data processing. We also enumerate a few prominent use cases of IoT forensics and present the key requirements for enabling IoT forensics. Finally, we identify and discuss several indispensable open research challenges as future research directions.
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Cites
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861
IoT security: Review, blockchain solutions, and open challenges
Khan, M. A., & Salah, K. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.11.022 · Cited by 2,488
Integration of Cloud computing and Internet of Things: A survey
Botta, A., de Donato, W., Persico, V., & Pescapé, A. (2016) · Future Generation Computer Systems · doi:10.1016/j.future.2015.09.021 · Cited by 2,388
Research Directions for the Internet of Things
Stankovic, J. A. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2312291 · Cited by 1,920
Blockchain for IoT security and privacy: The case study of a smart home
Dorri, A., Kanhere, S. S., Jurdak, R., & Gauravaram, P. (2017) · 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2017.7917634 · Cited by 1,843
Internet of Things – New security and privacy challenges
Weber, R. H. (2010) · Computer Law & Security Review · doi:10.1016/j.clsr.2009.11.008 · Cited by 1,454
Internet of Things security: A survey
Alaba, F. A., Othman, M., Hashem, I. A. T., & Alotaibi, F. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.04.002 · Cited by 1,303
Self-citationBig IoT data analytics: Architecture, opportunities, and open research challenges
(2017) · IEEE Access · doi:10.1109/access.2017.2689040 · Cited by 980
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A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues
Stoyanova, M., Nikoloudakis, Y., Panagiotakis, S., Pallis, E., & Markakis, E. K. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2962586 · Cited by 852
Cryptographic transistor for true random number generator with low power consumption
Kim, S.-I., You, H.-J., Kim, M.-S., An, U.-S., Kim, M.-S., Lee, D. H., Ryu, S.-T., & Choi, Y.-K. (2024) · Science Advances · doi:10.1126/sciadv.adk6042 · Cited by 33
Metadata
- Authors
- Yaqoob, I., Hashem, I. A. T., Ahmed, A., Kazmi, S. M. A., & Hong, C. S.
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 92
- Pages
- 265-275
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2896075375
- Cited by
- 322
- References
- 76
- FWCI
- 69.50
- Type
- journal article
- Language
- en
- Open access
- green
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- Yaqoob, I., Hashem, I. A. T., Ahmed, A., Kazmi, S. M. A., & Hong, C. S. (2019). Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2018.09.058
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
