The DOI matches its Crossref record.
Guide to computer security log management
Abstract
The Information Technology Laboratory (ITL) at the National Institute of Standards and Technology (NIST) promotes the U.S. economy and public welfare by providing technical leadership for the nation's measurement and standards infrastructure.ITL develops tests, test methods, reference data, proof of concept implementations, and technical analysis to advance the development and productive use of information technology.ITL's responsibilities include the development of technical, physical, administrative, and management standards and guidelines for the cost-effective security and privacy of sensitive unclassified information in Federal computer systems.This Special Publication 800-series reports on ITL's research, guidance, and outreach efforts in computer security and its collaborative activities with industry, government, and academic organizations.Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately.Such identification is
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“The log schema reflects common IoT telemetry and event fields used in operational security monitoring (Hassan, 2019; National Institute of Standards and Technology, 2020; Kent and Souppaya, 2006; Gerhards, 2009).”
From Lightweight Tamper-Evident Log Integrity Verification for IoT Edge Environments: A Merkle Tree Pipeline with Adaptive Chunking (2026) · cites this paper as Kent and Souppaya, 2006
Citations
Cites
Still being checked.
Cited by
Sorted by citations
Items 101–200 of 275
Information Assurance Directorate
Klingensmith, W. (2024) · doi:10.18260/1-2--25310 · Cited by 5
Belcher, S., Belcher, T., Greenwald, E., & Thomas, B. (2020) · doi:10.31979/mti.2020.1939 · Cited by 5
Implementing the Health Insurance Portability and Accountability Act (HIPAA) Security Rule:
Marron, J. A. (2022) · doi:10.6028/nist.sp.800-66r2.ipd · Cited by 7
RetractedAnalyze Windows Logs to Investigate Phishing Attack
Sharikov, P., & Mokrinskii, N. (2025) · International Ural Conference on Electrical Power Engineering (UralCon) · doi:10.1109/uralcon67204.2025.11206617 · Cited by 4
Ross, R., Pillitteri, V. Y., Guissanie, G., Wagner, R. H., Graubart, R. D., & Bodeau, D. J. (2019) · Cited by 4
Audit Mechanisms in Electronic Health Record Systems
King, J., Smith, B. H., & Williams, L. A. (2012) · International Journal of Computational Models and Algorithms in Medicine · doi:10.4018/jcmam.2012040102 · Cited by 4
Development of Highly Secured Cloud Rendered Log Management System
SagarS, R., & Pawar Anil, B. (2014) · International Journal of Computer Applications · doi:10.5120/18992-0448 · Cited by 4
Towards Standardising Firewall Reporting
Ranathunga, D., Roughan, M., Kernick, P., & Falkner, N. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-40385-4_9 · Cited by 4
Multi-agent Based Forensic Analysis Framework for Infrastructures Involving Storage Networks
Khan, M. N. A. (2018) · Proceedings of the National Academy of Sciences India Section A Physical Sciences · doi:10.1007/s40010-017-0473-3 · Cited by 4
Log-Based Malicious Activity Detection Using Machine and Deep Learning
Tarnowska, K. A., & Patel, A. (2020) · Springer eBooks · doi:10.1007/978-3-030-62582-5_23 · Cited by 5
Some Experiments on High Performance Anomaly Detection
Ianni, M., & Masciari, E. (2022) · Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP) · doi:10.1109/pdp55904.2022.00042 · Cited by 4
Measuring the forensic-ability of audit logs for nonrepudiation
King, J. (2013) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse.2013.6606732 · Cited by 4
Voting Systems Audit Log Study
Wagner, D. (2010) · Cited by 4
NIST Big Data Interoperability Framework: volume 4, security and privacy, version 2
NIST Big Data Public Working Group (2018) · doi:10.6028/nist.sp.1500-4r1 · Cited by 4
Remote Labs in Cybersecurity Education
Otoum, N. A., Maqousi, A. Y. A., Alauthman, M., & Almomani, A. (2025) · International Journal of Cloud Applications and Computing · doi:10.4018/ijcac.383300 · Cited by 3
O-Cloud Security: A Comprehensive Survey of Threats, Mitigation Strategies, and Future Directions
Shehab, M., Aly, Y., Badawy, A., Mohamed, A. M. S., Barhamgi, M., & Salem, S. (2025) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2025.3600528 · Cited by 4
Hajamydeen, A. I., Hasni, M. D., & Abdullah, M. I. (2024) · Advances in chemical and materials engineering book series · doi:10.4018/979-8-3693-2814-9.ch013 · Cited by 3
Enhancing Syslog Message Security and Reliability over Unidirectional Fiber Optics
Anton, A., Csereoka, P., Capota, E. A., & Cioargă, R.-D. (2024) · Sensors · doi:10.3390/s24206537 · Cited by 3
CNN with Paragraph to Multi-Sequence Learning for Sensitive Text Detection
Alzhrani, K., Alrasheedi, F. S., Kateb, F., & Boult, T. E. (2019) · International Conference on Computer Applications & Information Security (ICCAIS) · doi:10.1109/cais.2019.8769490 · Cited by 4
Time Series Based Pattern Recognition for Anomaly Detection from System Audit Logs
Pokharel, P., Sigdel, S., Pokhrel, R., & Joshi, B. (2019) · doi:10.1109/aitb48515.2019.8947448 · Cited by 3
RETRACTED: BBAC: Behavior-based access control to detect user suspicious behavior
Rikhtechi, L., Rafeh, V., & Rezakhani, A. (2022) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-212377 · Cited by 3
RetractedSemantic Query Federation for Scalable Security Log Analysis
Kurniawan, K. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-98192-5_48 · Cited by 3
Secure Log Transfer by Replacing a Library in a Virtual Machine
Sato, M., & Yamauchi, T. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-41383-4_1 · Cited by 3
Chaudhari, S., Chauhan, H., Tomar, S. S., & Rawat, A. (2014) · International Conference on Communication Systems and Network Technologies · doi:10.1109/csnt.2014.253 · Cited by 3
Littman, M. K., & Heikkila, F. M. (2009) · Cited by 3
Vattikonda, B., Das, M., Bhardwaj, T., Panja, S., Arora, P., Gupta, A., & Aswal, D. K. (2020) · Springer eBooks · doi:10.1007/978-981-15-8872-3_5 · Cited by 3
Mind mapping in artificial intelligence for data democracy
Hernández, J. M. G. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818366-3.00004-6 · Cited by 3
Model Alur Kerja Penanganan Bukti Digital Untuk Data Multimedia
Dirman, D., Prayudi, Y., & Ramadhani, E. (2021) · JATISI (Jurnal Teknik Informatika dan Sistem Informasi) · doi:10.35957/jatisi.v8i3.987 · Cited by 3
LLM-Powered Automated Cloud Forensics: From Log Analysis to Investigation
Alharthi, D. N., & Yasaei, R. (2025) · IEEE ... International Conference on Cloud Computing · doi:10.1109/cloud67622.2025.00012 · Cited by 2
An AI-Based Risk Analysis Framework Using Large Language Models for Web Log Security
Jeong, H., & Joe, I. (2025) · Electronics · doi:10.3390/electronics14173512 · Cited by 2
Network Latency in Systems Event Monitoring for Multiple Locations
Kufel, Ł. (2015) · Scientific Programming · doi:10.1155/2015/371620 · Cited by 2
Development of Secured Log Management System Over Blockchain Technology
Rajebhosale, S. S., & Nikam, M. C. (2018) · International Journal of Cyber Research and Education · doi:10.4018/ijcre.2019010104 · Cited by 2
Sekar, P. K. (2024) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit241051046 · Cited by 2
Ijiga, O. M., Okika, N., Balogun, S. A., Enyejo, L. A., & Agbo, O. J. (2025) · doi:10.38124/ijisrt/25jul392 · Cited by 2
Analyzing Big Security Logs in Cluster with Apache Spark
Oktay, T., & Sayar, A. (2016) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-47898-2_14 · Cited by 2
Classifying Database Users for Intrusion Prediction and Detection in Data Security
Bakır, Ç., & Hakkoymaz, V. (2020) · Tehnicki vjesnik - Technical Gazette · doi:10.17559/tv-20190710100638 · Cited by 2
Extra-Tree: A model to organize execution traces of Web services
Sinha, S., Sinha, S. K., & Purkayastha, B. S. (2010) · International Conference on Computer Information Systems and Industrial Management Applications (CISIM) · doi:10.1109/cisim.2010.5643460 · Cited by 2
Using HL7 in hospital staff assignments
Unluturk, M. S. (2013) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2013.11.003 · Cited by 2
Design and Implementation of Management and Query Center of Log Auditing System Based on SSH2
Cheng, Z., Wang, W., & Gao, M. Y. (2012) · Advances in intelligent and soft computing · doi:10.1007/978-3-642-27866-2_42 · Cited by 2
Design of a Log Management Infrastructure Using Meta-Network Analysis
Anastopoulos, V., & Katsikas, S. K. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-44341-6_7 · Cited by 2
Conrad, E., Misenar, S., & Feldman, J. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-417142-8.00001-7 · Cited by 2
Syslog Anomaly Detection Using Supervised Machine Learning Models
Younesian, E., Siklosi, M., Khatib, N., & Hošek, J. (2021) · International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) · doi:10.1109/icumt54235.2021.9631564 · Cited by 2
Log message with JSON item count for root cause analysis in microservices
Koyama, T., & Kushida, T. (2023) · Conference on Cloud and Internet of Things (CIoT) · doi:10.1109/ciot57267.2023.10084901 · Cited by 2
Threat detection and response with SIEM system
Alatise, T. I., & Nottidge, O. E. (2024) · International Journal of Communication and Information Technology · doi:10.33545/2707661x.2024.v5.i1a.78 · Cited by 2
Cybersecurity Management Through Logging Analytics
Muggler, M., Eshwarappa, R., & Cankaya, E. C. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-60585-2_1 · Cited by 2
Security for UDNs: A Step Toward 6G
de Ree, M., Parsamehr, R., Vasudevan, V. A., Μαντάς, Γ., Politis, I., Rodrı́guez, J., Kotsopoulos, S. A., Otung, I. E., Martínez-Ortega, J.-F., & Gil‐Castiñeira, F. (2021) · Springer eBooks · doi:10.1007/978-3-030-74648-3_5 · Cited by 2
Correlating IDS alerts with system logs by means of a network-centric SIEM solution
Bråthen, A. (2011) · NORA - Norwegian Open Research Archives · Cited by 2
Conrad, E., Misenar, S., & Feldman, J. (2012) · Elsevier eBooks · doi:10.1016/b978-1-59749-961-3.00002-9 · Cited by 2
Enhanced Security Requirements for Protecting Controlled Unclassified InformationPreprint
Ross, R. (2020) · doi:10.6028/nist.sp.800-172-draft · Cited by 2
Data Integrity: Recovering from Ransomware and Other Destructive Events
McBride, T., Ekstrom, M. P., Lusty, L., Sexton, J., & Townsend, A. (2020) · doi:10.6028/nist.sp.1800-11 · Cited by 5
Observation and mitigation of causal re-ordering in distributed business process logs
Pecarina, J. M., Fu, M., & Liu, J. (2015) · International Conference on Collaboration Technologies and Systems (CTS) · doi:10.1109/cts.2015.7210422 · Cited by 1
Development of Secured Log Management System Over Blockchain Technology
Rajebhosale, S. S., & Nikam, M. C. (2020) · IGI Global eBooks · doi:10.4018/978-1-7998-5351-0.ch013 · Cited by 1
The Design and Implementation of ELK Based System for Detection of Unauthorized Web Access
Drašković, V., Ciric, V. M., Milentijević, I., & Stojanovic, N. M. (2025) · International Conference on Electrical, Electronic and Computing Engineering (IcETRAN) · doi:10.1109/icetran66854.2025.11114263 · Cited by 1
A Simulation Study on the Theoretical Potential of Quantum-Enhanced Federated Security Operations
Campbell, R. (2025) · Sensors · doi:10.3390/s25195949 · Cited by 1
Context-Aware Intelligent Data Integration Approach: A practical Hybrid Retrieval Agent
Hamza, R. M., & Ajam, G. (2026) · International Conference on Computing and Emerging Sciences · doi:10.1145/3797491.3797524 · Cited by 1
Risk-Driven Deployment and Forensic Readiness Framework for AI-Enabled Security Operations Centers
Torstensson, O., Prokopovych-Tkachenko, D., Desiatko, A., Hbur, Z. V., & Брітченко, І. (2026) · Journal of Cybersecurity and Privacy · doi:10.3390/jcp6050149 · Cited by 1
A software method for managing event logs to improve quality and dependability of business processes
Unluturk, M. S., & Kurtel, K. (2010) · Annual Conference on Computers · Cited by 1
Securing an alerting subsystem for a keystroke-based user identification system
Arseni, Ş.-C., Popovici, E. C., Stancu, L. A., Guta, O. G., & Halunga, S. V. (2014) · International Conference on Communications (COMM) · doi:10.1109/iccomm.2014.6866685 · Cited by 1
Secure and Fast Log Transfer Mechanism for Virtual Machine
Sato, M., & Yamauchi, T. (2014) · Journal of Information Processing · doi:10.2197/ipsjjip.22.597 · Cited by 1
A SURVEY ON SECURED LOGGING IN THE CLOUD
Kharade, P. (2014) · International Journal of Research in Engineering and Technology · doi:10.15623/ijret.2014.0307025 · Cited by 1
A comprehensive security policy research on web information system
Wang, F., Li, C., Zhao, L., & Li, X. (2009) · IEEE International Conference on Automation and Logistics (ICAL) · doi:10.1109/ical.2009.5262671 · Cited by 1
Mulualem, Y. (2014) · International Journal of Computer Applications Technology and Research · doi:10.7753/ijcatr0503.1007 · Cited by 1
Estimating Posterior Probabilities to Identify Breach Points during Cyber-attacks
Raghavan, S., & Raghavan, S. V. (2015) · International Conference on Cyber Security, Cyber Warfare and Digital Forensic (CyberSec) · doi:10.1109/cybersec.2015.30 · Cited by 1
Predictive Computing and Information Security: A Technical Review
Gupta, P. K., Tyagi, V., & Singh, S. K. (2017) · Springer eBooks · doi:10.1007/978-981-10-5107-4_2 · Cited by 1
Sirma, J., Muiru, M., & Kipchillat, C. (2014) · Journals & Books Hosting (International Knowledge Sharing Platform) · Cited by 1
Rodríguez, S., & Roy, A. (2018) · Cited by 1
Çobanoğlu, T., & AKÇAY, M. (2022) · Eskişehir Türk Dünyası Uygulama ve Araştırma Merkezi Bilişim Dergisi · doi:10.53608/estudambilisim.1013695 · Cited by 1
Implementasi Skema SecLaaS-RW dalam Membuat Aplikasi Secure Logging
VictoAraya, G., & Cahyono, S. (2022) · Info Kripto · doi:10.56706/ik.v16i3.44 · Cited by 2
Timed Genetic Process Mining for Robust Tracking of Processes under Incomplete Event Log Conditions
Effendi, Y. A., & Kim, M. (2024) · Electronics · doi:10.3390/electronics13183752 · Cited by 1
Nagvekar, P. V., Das, S., & Iyer, S. R. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-84391-4_12 · Cited by 1
Designing PhelkStat: Big Data Analytics for System Event Logs
Salman, M., Welch, B., Raymond, D., Marchany, R. C., & Tront, J. G. (2017) · VTechWorks (Virginia Tech) · Cited by 1
Log as a Secure Service Scheme (LASS) for Cloud
Imran, M., & Rahman, M. A. U. (2020) · Journal of scientific research · doi:10.37398/jsr.2020.640143 · Cited by 1
Assessment of Forensics Investigation Methods
Chauhan, P., & Bansal, P. (2021) · Smart innovation, systems and technologies · doi:10.1007/978-981-33-4443-3_30 · Cited by 1
An Efficient Analytical Approach to Visualize Text-Based Event Logs for Semiconductor Equipment
Lee, G., & Jeong, J. (2021) · Applied Sciences · doi:10.3390/app11135944 · Cited by 1
Meesala, L. K. (2023) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit23564538 · Cited by 15
Reconsidering Data Logging in Light of Digital Forensics
Chou, B.-H., Takahashi, K., Hori, Y., & Sakurai, K. (2009) · Communications in computer and information science · doi:10.1007/978-3-642-02633-1_15 · Cited by 1
Assessing Network Intrusion Detection System performance: forensic implications
Alqahtani, M. (2013) · Tuwhera (Auckland University of Technology) · Cited by 1
Advancing Security Services for Cloud Applications
Elsayed, M. A. (2018) · QSpace (Queen's University Library) · Cited by 1
Threat Identification from Access Logs Using Elastic Stack
Vethanayagam, S. (2020) · NDSU Repository (North Dakota State University) · Cited by 1
Methods for Managed Deployment of User Behavior Analytics to SIEM product
Seppänen, M. (2021) · Theseus (Ammattikorkeakoulujen) · Cited by 1
Scalable Blockchain-assisted Log Storage System for Cloud-generated Logs
Pourmajidi, W. (2021) · doi:10.32920/ryerson.14653434.v1 · Cited by 1
Protecting Controlled Unclassified Information in Nonfederal Systems and Organizations
Ross, R., & Pillitteri, V. Y. (2023) · doi:10.6028/nist.sp.800-171r3.fpd · Cited by 1
RetractedTrustworthy Logging for Virtual Organisations
Huh, J. H. (2010) · OpenGrey (Institut de l'Information Scientifique et Technique) · doi:10.5287/ora-zbpzrpbnx · Cited by 1
Yagiz, M. A., Horasan, F., & Yurttakal, A. H. (2026) · arXiv · doi:10.48550/arxiv.2605.00065
Lazzarotto, F., Fabiani, S., Costa, E., Persio, G. D., Monte, D., Donnarumma, I., Evangelista, Y., Feroci, M., Pacciani, L., Rubini, A., et al. (2010) · arXiv (Cornell University) · doi:10.13140/rg.2.2.17180.23680
Design and implementation of an audit subsystem for a separation kernel
Toh, B. P. (2010) · Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School)
Integrated user activity monitoring for regulatory services
Marder, M., Bhaskaran, K., Hernández, M. A., Laredo, J., Roşu, D., Ruan, Y., Driscoll, P., & Skinner, A. (2012) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms.2012.6211992
Securing intelligent substations: Real-time situational awareness
Major, S., & Fekovic, E. (2014) · IEEE International Energy Conference (ENERGYCON) · doi:10.1109/energycon.2014.6850504
Build a Digital Evidence Map considered Log-Chain
Park, H., & Lee, S. (2014) · 정보보호학회논문지 · doi:10.13089/jkiisc.2014.24.3.523 · Cited by 2
Ly, M.-C., Germaneau, A., & Martinot, O. (2009) · International Conference on Networks · doi:10.1109/icn.2009.45
Some problems arising out of the cross-disciplinary nature of information systems security
Wang, T.-C. (1988) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.1988.11986
Automatic forensic log file analysis for Mac OS X systems
Turedi, Z., & Han, L. (2013) · International Journal of Electronic Security and Digital Forensics · doi:10.1504/ijesdf.2013.055050
Null Value Estimation in Web Environment by using Fuzzy Rule based K-Mean Clustering
Agrawal, S., & Pandey, K. (2013) · International Journal of Computer Applications · doi:10.5120/12899-9822
de Wit, J. (2013)
Human and organizational aspects of cyber security
Afzal, M. (2010)
for Digital Forensics Investigations
Tang, M., & Fidge, C. (2015)
FIDIS of Identity in the Information Society
Zwingelberg, H., Anrig, B., Ragusa, M., Demetis, D. S., Benoist, E., Dubuis, E., Haenni, R., & Nabeth, T. (2008)
Enhancing Seekable Sequential Key Generators along with FSS Scheme for Secure Logging in the Cloud
Rao, V. V. C., & Babu, A. S. (2013)
Proposed Methodology for Secure Image Logging System towards Cyber Forensic
Srivastava, A. K., & Kmar Sharma, R. (2013) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.21415115
Aulenbacher, I. L. (2012) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
Metadata
- Authors
- Kent, K., & Souppaya, M. P.
- Affiliations
- United States Department of the Treasury (US)
- ORCID
- Souppaya, M P
- Published
- 2006
- OpenAlex
- W2620229640
- Cited by
- 275
- References
- 0
- Citations by year
- 2026: 28 · 2025: 17 · 2024: 9 · 2023: 13 · 2022: 12 · 2021: 22 · 2020: 26 · 2019: 12 · 2018: 14 · 2017: 8 · 2016: 14 · 2015: 13 · 2014: 21 · 2013: 21 · 2012: 12
- Type
- report
- Language
- en
- Open access
- closed
- Funders
- U.S. Social Security Administration
- National Institutes of Health
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Information Systems › Digital and Cyber Forensics
- Keywords
- cybersecurity, log management, security logs, audit logs, log analysis, information security
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