Anomaly detection in cloud environment using artificial intelligence techniques
Integrity signals
Registry
Cites
Statistics
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?
ARIMA and similar tactics are ineffective if the data lack discernible patterns and exhibit high levels of random volatility.
“However, these tactics are inefective if the data lack discernible patterns and exhibit high levels of random volatility [62,63].”
From Artificial Intelligence in the Military: An Overview of the Capabilities, Applications, and Challenges (2023) · cites this paper as [62]
Cited by
Sorted by citations
Rashid, A. B., Kausik, A. K., Al Hassan Sunny, A., & Bappy, M. H. (2023) · International Journal of Intelligent Systems · doi:10.1155/2023/8676366 · Cited by 143 · see citing works
DRAGON: Decentralized Fault Tolerance in Edge Federations
Tuli, S., Casale, G., & Jennings, N. R. (2023) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2022.3199886 · Cited by 21 · see citing works
Xu, Y., Qiu, Z., Gao, H., Zhao, X., Wang, L., & Li, R. (2024) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2023.3337351 · Cited by 16 · see citing works
CAROL: Confidence-Aware Resilience Model for Edge Federations
Tuli, S., Casale, G., & Jennings, N. R. (2022) · 2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) · doi:10.1109/dsn53405.2022.00016 · Cited by 9 · see citing works
- Authors
- Girish, L., & Rao, S. K. N.
- Affiliations
- Visvesvaraya Technological University (IN)
- Corresponding author
- Girish, L.
- ORCID
- Girish, L.
- Venue
- Computing
- Published
- 2021-03-28
- Volume
- 105
- Issue
- 3
- Pages
- 675-688
- ISSN
- 0010-485X (ISSN-L)
- 1436-5057
- OpenAlex
- W3150770307
- Cited by
- 56
- References
- 0
- Citations by year
- 2026: 3 · 2025: 14 · 2024: 17 · 2023: 11 · 2022: 6 · 2021: 5
- FWCI
- 4.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Software System Performance and Reliability
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- anomaly detection, cloud computing, OpenStack, stacked LSTM, bidirectional LSTM, virtual machines, cloud-based monitoring
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.
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