A Survey of Security in SCADA Networks: Current Issues and Future Challenges
Open accessAbstract
Supervisory Control and Data Acquisition (SCADA) systems are used for monitoring industrial devices. However, their security faces the threat of being compromised due to the increasing use of open access networks. The primary objective of this survey paper is to provide a comparative study of the on-going security research in SCADA systems. The paper provides a classification of attacks based on security requirements and network protocol layers. To secure the communication between nodes of SCADA networks, various security standards have been developed by different organizations. We conduct a study of the security standards developed for SCADA networks along with their vulnerabilities. Researchers have proposed various security schemes to overcome the weaknesses of SCADA standards. The paper organizes security schemes based on current standards, detection, and prevention of attacks. It also addresses the future challenges that SCADA networks may face, in particular, from quantum attacks. Furthermore, it outlines directions for further research in the field.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Multiple surveys, reviews and systematic literature overviews have been published covering the domain of security within I4.0, CPS, ICS, SCADA systems and the manufacturing industry in general, providing insight into security risks, taxonomy of attacks, security standards, intrusion detection systems, attack vectors, and quantitative evaluation of vulnerabilities.
“As a result, multiple surveys, reviews and systematic literature overviews have been published covering the domain of security within I4.0, CPS, ICS, SCADA systems and the manufacturing industry in general, providing insight into the security risks and implementation of digital security measures in these environments [169], taxonomy of attacks [173], [174] and security standards developed for SCAD”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [173]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredExisting methods for SCADA/ICS security are more available for detection of attacks than for prevention of attacks.
“e authors highlighted that those methods for detection of attacks are more available than methods for prevention of attacks in literature.”
From Detection and Blocking of Replay, False Command, and False Access Injection Commands in SCADA Systems with Modbus Protocol (2021) · cites this paper as [28]
Section VI, “Existing SCADA Security Schemes,” and Section IX, “Conclusion,” classify schemes into attack detection and prevention, but neither says detection methods are more numerous or more available in the literature. Searches for a comparison of the two categories did not find one in our copy. (LLM, conf=0.73)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
NTRU: A ring-based public key cryptosystem
Hoffstein, J., Pipher, J., & Silverman, J. H. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0054868 · Cited by 1,947 · see citing works
A Taxonomy of Cyber Attacks on SCADA Systems
Zhu, B., Joseph, A., & Sastry, S. (2011) · 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing · doi:10.1109/ithings/cpscom.2011.34 · Cited by 458 · cited 6× · see citing works
“For example, the doorknob-rattling attack [15] as explained in Table 1.”
InfluentialSajid, A., Abbas, H., & Saleem, K. (2016) · IEEE Access · doi:10.1109/access.2016.2549047 · Cited by 401 · see citing works
Introduction to post-quantum cryptography
Bernstein, D. J. (2009) · Post-Quantum Cryptography · doi:10.1007/978-3-540-88702-7_1 · Cited by 364 · see citing works
Mittra, S. (1997) · ACM SIGCOMM Computer Communication Review · doi:10.1145/263109.263179 · Cited by 199 · see citing works
An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications
Beaver, J. M., Hink, R. B., & Buckner, M. A. (2013) · International Conference on Machine Learning and Applications · doi:10.1109/icmla.2013.105 · Cited by 197 · see citing works
Intrusion detection in SCADA systems using machine learning techniques
Maglaras, L. A., & Jiang, J. (2014) · Science and Information Conference · doi:10.1109/sai.2014.6918252 · Cited by 188 · see citing works
Nader, P., Honeine, P., & Beauseroy, P. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2330796 · Cited by 122 · see citing works
Advanced Key-Management Architecture for Secure SCADA Communications
Choi, D., Kim, H., Won, D., & Kim, S. (2009) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2008.2005683 · Cited by 96 · see citing works
Key management issue in SCADA networks: A review
Rezai, A., Keshavarzi, P., & Moravej, Z. (2016) · Engineering Science and Technology an International Journal · doi:10.1016/j.jestch.2016.08.011 · Cited by 80 · see citing works
Rule-based intrusion detection system for SCADA networks
Yang, Y., Littler, T., Wang, H. F., et al. (2013) · doi:10.1049/cp.2013.1729 · Cited by 75 · see citing works
Security issues in SCADA based industrial control systems
Babu, B., Ijyas, T., Muneer, P., & Varghese, J. (2017) · 2017 2nd International Conference on Anti-Cyber Crimes (ICACC) · doi:10.1109/anti-cybercrime.2017.7905261 · Cited by 73 · see citing works
SKMA: a key management architecture for SCADA systems
Dawson, R., Boyd, C., Dawson, E., & Nieto, J. M. G. (2006) · QUT ePrints (Queensland University of Technology) · Cited by 72 · see citing works
Security Usability Principles for Vulnerability Analysis and Risk Assessment
Jøsang, A., AlFayyadh, B., Grandison, T. W. A., et al. (2007) · doi:10.1109/acsac.2007.14 · Cited by 70 · see citing works
Quantum cryptography for IoT: APerspective
Routray, S. K., Jha, M. K., Sharma, L., Nyamangoudar, R., Javali, A., & Sarkar, S. (2017) · International Conference on IoT and Application (ICIOT) · doi:10.1109/iciota.2017.8073638 · Cited by 70 · see citing works
Machine Learning for Reliable Network Attack Detection in SCADA Systems
Perez, R. L., Adamsky, F., Soua, R., & Engel, T. (2018) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom/bigdatase.2018.00094 · Cited by 65 · see citing works
A hybrid model for anomaly-based intrusion detection in SCADA networks
Ullah, I., & Mahmoud, Q. H. (2017) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata.2017.8258164 · Cited by 64 · see citing works
A Trust System Architecture for SCADA Network Security
Coates, G. M., Hopkinson, K. M., Graham, S., & Kurkowski, S. H. (2009) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2009.2034830 · Cited by 61 · see citing works
Three-layer PLC/SCADA system Architecture in process automation and data monitoring
Endi, M., Elhalwagy, Y. Z., & Hashad, A. (2010) · doi:10.1109/iccae.2010.5451799 · Cited by 55 · see citing works
Simulation and impact analysis of denial-of-service attacks on power SCADA
Kalluri, R., Mahendra, L., Kumar, R., et al. (2016) · National Power Systems Conference · doi:10.1109/npsc.2016.7858908 · Cited by 50 · see citing works
Future SCADA challenges and the promising solution: the agent-based SCADA
Abbas, H. A. (2014) · International Journal of Critical Infrastructures · doi:10.1504/ijcis.2014.066354 · Cited by 49 · see citing works
An overview of cyber-attack vectors on SCADA systems
Irmak, E., & Erkek, İ. (2018) · International Symposium on Digital Forensic and Security (ISDFS) · doi:10.1109/isdfs.2018.8355379 · Cited by 48 · see citing works
Analysis on cyber threats to SCADA systems
Kang, D.-J., Lee, J., Kim, S.-J., & Park, J.-H. (2009) · Transmission & Distribution Conference & Exposition: Asia and Pacific · doi:10.1109/td-asia.2009.5357008 · Cited by 44 · see citing works
OCSVM model combined with K-means recursive clustering for intrusion detection in SCADA systems
Maglaras, L. A., & Jiang, J. (2014) · doi:10.1109/qshine.2014.6928673 · Cited by 43 · see citing works
Jiang, R., Lu, R., Luo, J., Lai, C., & Shen, X. (2014) · Security and Communication Networks · doi:10.1002/sec.1057 · Cited by 35 · see citing works
Internal security attacks on SCADA systems
Sayegh, N., Chehab, A., Elhajj, I. H., et al. (2013) · International Conference on Communications and Information Technology (ICCIT) · doi:10.1109/iccitechnology.2013.6579516 · Cited by 35 · see citing works
Application of NTRU Cryptographic Algorithm for SCADA Security
Premnath, A. P., Jo, J.-Y., & Kim, Y. (2014) · International Conference on Information Technology: New Generations · doi:10.1109/itng.2014.38 · Cited by 32 · see citing works
Summary of Control System Security Standards Activities in the Energy Sector
Carlson, R. E., Dagle, J. E., & Shamsuddin, S. (2005) · Cited by 25 · see citing works
Assessing the Security of IEC 62351
Schlegel, R., Obermeier, S., & Schneider, J. (2015) · Electronic workshops in computing · doi:10.14236/ewic/ics2015.2 · Cited by 24 · see citing works
Hybrid Key Management Architecture for Robust SCADA Systems
Choi, D., Jeong, H., Won, D., & Kim, S. (2013) · Journal of information science and engineering · doi:10.6688/jise.2013.29.2.6 · Cited by 24 · see citing works
Advance hybrid key management architecture for SCADA network security
Rezai, A., Keshavarzi, P., & Moravej, Z. (2016) · Security and Communication Networks · doi:10.1002/sec.1612 · Cited by 22 · see citing works
Mohsen, A. W., Bahaa-Eldin, A. M., & Sobh, M. (2017) · International Conference on Computer Engineering and Systems · doi:10.1109/icces.2017.8275352 · Cited by 22 · see citing works
Performance Analysis of Public key Cryptographic Systems RSA and NTRU
Challa, N., & Pradhan, J. (2007) · Cited by 18 · see citing works
Reliability analysis of power grids with cyber vulnerability in SCADA system
Zhang, Y., Xiang, Y., & Wang, L. (2014) · doi:10.1109/pesgm.2014.6939397 · Cited by 16 · see citing works
Network security analysis SCADA system automation on industrial process
Hilal, H., & Nangim, A. (2017) · doi:10.1109/bcwsp.2017.8272569 · Cited by 16 · see citing works
Ayala, L. (2016) · Apress eBooks · doi:10.1007/978-1-4842-2068-9 · Cited by 16 · see citing works
Amiri, P. K. (2002) · IEEE Potentials · doi:10.1109/mp.2002.1166617 · Cited by 14 · see citing works
Quantum Cryptography Based Cyber-Physical Security Technology for Smart Grids
Zhang, X., Luo, F., Wang, Z. D., et al. (2015) · doi:10.1049/ic.2015.0263 · Cited by 13 · see citing works
Autonomic computing meets SCADA security
Nazir, S., Patel, S. D., & Patel, D. A. (2017) · IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) · doi:10.1109/icci-cc.2017.8109795 · Cited by 12 · see citing works
Comparison of Encryption Schemes as Used in Communication between SCADA Components
Robles, R. J., Balitanas, M. O., Caytiles, R. D., Gelogo, Y. E., & Kim, T.-H. (2011) · International Conference on Ubiquitous Computing and Multimedia Applications (UCMA) · doi:10.1109/ucma.2011.33 · Cited by 10 · see citing works
Long term key management architecture for SCADA systems
Saputra, H., & Zhao, Z. (2018) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot.2018.8355183 · Cited by 9 · see citing works
Framework for implementation of AGA 12 for secured SCADA operation in Oil and Gas Industry
Parvez, B., Ali, J., Ahmed, U., et al. (2015) · International Conference on Computing for Sustainable Global Development · Cited by 7 · see citing works
Network Anomaly Detection for M-Connected SCADA Networks
Kim, S.-J., Kim, B.-H., Yeo, S.-S., et al. (2013) · International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA) · doi:10.1109/bwcca.2013.61 · Cited by 5 · see citing works
Quantum Algorithm to Solve a Maze: Converting the Maze Problem into a Search ProblemPreprint
Kumar, N., & Goswami, D. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1312.4116 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 7
- [4]4. Department of Homeland Security and The Federal Bureau of Investi- gation, ''Russian government cyber activity targeting energy and other critical infrastructure sectors,'' Tech. Rep. TA18-074A, Mar. 2018, pp. 1-18.
- [5]5. P. Nader, P. Honeine, and P. Beauseroy, ''LP-norms in one-class classi- fication for intrusion detection in SCADA systems,'' IEEE Trans. Ind. Informat., vol. 10, no. 4, pp. 2308-2317, Apr. 2014.
- [44]44. IEEE Guide for Electric Power Substation Physical and Electronic Secu- rity, IEEE Standard 1402-2000, 2000.
- [49]49. American Petroleum Institute, Pipeline SCADA Security, 2nd ed., API Standard 1164, Pipeline SCADA Security, Jun. 2009, pp. 1-22.
- [60]60. S. Mittra, ''Iolus: A framework for scalable secure multicasting,'' ACM SIGCOMM Comput. Commun. Rev., vol. 27, no. 4, pp. 277-288, 1997.
- [62]62. Y.-H. Lim, ''IKMS-An ID-based key management architecture for SCADA system,'' in Proc. 7th Int. Conf. Netw. Comput., Sep. 2011, pp. 139-144.
- [74]74. SRINIVAS SAMPALLI received the B.E. degree from Bangalore University and the Ph.D. degree from the Indian Institute of Science (IISc), Ben- galuru, India. He is currently a Professor and a 3M National Teaching Fellow with the Fac- ulty of Computer Science, Dalhousie Univer- sity, Halifax, NS, Canada. He has led numerous industry-driven research projects on the Internet of Things, wireless security, vulnerability analy- sis, intrusion detection and prevention, and appli- cations of emerging wireless technologies in healthcare. He currently supervises five Ph.D. and ten master's students in his EMerging WIreless Technologies (MYTech) Laboratory and has supervised over 120 graduate students in his career. His primary joy is in inspiring and motivating students with his teaching and research. He received the Dalhousie Faculty of Science Teaching Excellence Award, the Dalhousie Alumni Association Teaching Award, the Association of Atlantic Universities' Distinguished Teacher Award, a teaching award instituted in his name by the students within his faculty, the Atlantic Canada Section IEEE Outstanding Educator Award, and the 3M National Teaching Fellowship, Canada's most prestigious teaching acknowledgement. Since September 2016, he has been holding the honorary position of the Vice President (Canada) of the International Federation of National Teaching Fellows (IFNTF), a consortium of national teaching award winners from around the world.
Cited by
Sorted by citations
A Survey on SCADA Systems: Secure Protocols, Incidents, Threats and Tactics
Pliatsios, D., Sarigiannidis, P., Lagkas, T., & Sarigiannidis, A. G. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2987688 · Cited by 320 · see citing works
“A survey of security in SCADA networks is provided in [12].”
BackgroundNwakanma, C. I., Ahakonye, L. A. C., Njoku, J. N., Odirichukwu, J. C., Okolie, S. A., Uzondu, C., Ndubuisi Nweke, C. C., & Kim, D.-S. (2023) · Applied Sciences · doi:10.3390/app13031252 · Cited by 202 · see citing works
Sverko, M., Grbac, T. G., & Mikuc, M. (2022) · IEEE Access · doi:10.1109/access.2022.3211288 · Cited by 71 · see citing works
L, R., & Satyanarayana, P. (2021) · Security and Communication Networks · doi:10.1155/2021/8887666 · Cited by 28 · see citing works
A secure revocable fine-grained access control and data sharing scheme for SCADA in IIoT systems
Zhang, W., Zhang, H., Fang, L., Liu, Z., & Ge, C. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3091760 · Cited by 26 · see citing works
Upadhyay, D., Ghosh, S., Ohno, H., Zaman, M., & Sampalli, S. (2024) · International Journal of Critical Infrastructure Protection · doi:10.1016/j.ijcip.2024.100705 · Cited by 18 · see citing works
Self-citationMarian, M., Cusman, A., Stinga, F., Ionica, D., & Popescu, D. (2020) · IEEE Access · doi:10.1109/access.2020.3019112 · Cited by 18 · see citing works
Improving Method of Anomaly Detection Performance for Industrial IoT Environment
Kim, J., Shin, J., Park, K.-W., & Taek Seo, J. (2022) · Computers, Materials & Continua · doi:10.32604/cmc.2022.026619 · Cited by 8 · see citing works
- Authors
- Ghosh, S., & Sampalli, S.
- Affiliations
- Dalhousie University (CA)
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 135812-135831
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2955810727
- Cited by
- 154
- References
- 44
- Citations by year
- 2026: 15 · 2025: 17 · 2024: 30 · 2023: 18 · 2022: 29 · 2021: 32 · 2020: 13
- FWCI
- 10.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- IEEE Access (publishedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
- Keywords
- SCADA security, industrial control systems, attack classification, security standards, vulnerability (computer security), security schemes, attack detection, attack prevention, quantum attacks, open-access.network
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review