Academic Fraud Investigation Report: Design of Massive Power Consumption Data Collaborative Interaction System Based on PIO Algorithm

Academic fraud report · Geng Detector

Summary

This report presents a detailed academic integrity review of the paper 'Design of Massive Power Consumption Data Collaborative Interaction System Based on PIO Algorithm' by Kang Feng, Liu Zhenhua, Su Liwei, Yang Qiuyong, and Su Huaquan, published in Electronic Design Engineering (DOI: 10.14022/j.issn1674-6236.2023.03.034, submitted 2021-08-23, published 2023-02). The overall verdict is a confirmed case of serious academic misconduct, marked as a 'solid hit'. Multiple issues are identified: (1) systematic misalignment between in-text citations and the reference list, with citation [13] referencing Xeon processors while the listed source discusses multi-microgrid optimization; (2) self-contradictory experimental claims where the PIO algorithm underperforms OpenFlow in SSH throughput (3.8 vs 4.0 Gbit/s) yet the authors claim superiority; (3) suspected data fabrication in Figures 6 and 7, with bar heights inconsistent with stated values and suspiciously uniform scatter points; (4) anachronistic hardware specifications citing a 100 MHz bus for a 2023 workstation Xeon system, suggesting copy-paste from outdated sources. Confidence is high for findings 1, 2, and 4, while finding 3 relies on visual inference and is marked as insufficient evidence. Final determination requires institutional investigation.

Verdict

🔴 Confirmed case of serious academic misconduct (solid hit). The paper exhibits multiple integrity failures including citation-text mismatch, self-contradictory conclusions, suspected data fabrication, and anachronistic technical content. The volume and consistency of issues strongly suggest ghostwriting, machine-generated content, or extensive copy-paste fabrication rather than isolated errors.

Key findings

Citation–reference systematic mismatch (Finding 1, severity 🔴): In-text citations do not correspond to the listed references. Citation [13] in the body mentions 'Intel Xeon processors on a 100 MHz bus' but the corresponding reference [13] is '考虑电能交互的冷热电区域多微网系统双层多场景协同优化配置' (a multi-microgrid optimization paper). Citation [14] discusses 'real-time monitoring of honeypot intrusion data' but reference [14] is '交互能源:实现电力能源系统平衡的有效机制' (an interactive energy mechanism paper). Citations [4]–[12] similarly reference unrelated power-system papers.
Self-contradictory experimental claims (Finding 2, severity 🔴): The PIO algorithm reports HTTP throughput of 8.2 Gbit/s and SSH throughput of 3.8 Gbit/s, while OpenFlow shows 4.7 Gbit/s and 4.0 Gbit/s respectively. The PIO algorithm underperforms OpenFlow in SSH yet the authors claim overall superiority. The authors also state that OpenFlow's HTTP latency (0.25–0.75 ms) is lower than the PIO algorithm's (~0.5 ms), yet conclude 'the designed system has better data collaborative interaction performance'.
Suspected figure manipulation (Finding 3, severity 🔴, evidence ⚠️): Figure 6 bar heights for the edge computing method (HTTP 6.2 Gbit/s, SSH 7.1 Gbit/s) appear nearly identical despite differing numerical values. Figure 7 scatter data points are arranged in an unnaturally uniform pattern lacking the noise expected from real network experiments.
Anachronistic hardware specifications (Finding 4, severity 🟠): The paper describes a workstation using 'Intel Xeon processors on a 100 MHz bus' for a system submitted in 2021 and published in 2023. Intel Xeon front-side buses reached 800 MHz–1333 MHz during the Pentium 4 era, and PCIe/QPI have long been standard. The 100 MHz figure is implausible and suggests verbatim copying from outdated sources.

Evidence highlights

Specific numeric contradictions preserved from the original: PIO HTTP throughput = 8.2 Gbit/s; PIO SSH throughput = 3.8 Gbit/s; OpenFlow HTTP throughput = 4.7 Gbit/s; OpenFlow SSH throughput = 4.0 Gbit/s. PIO HTTP latency ≈ 0.5 ms; OpenFlow HTTP latency = 0.25–0.75 ms.
DOI preserved: 10.14022/j.issn1674-6236.2023.03.034
Submission date vs. publication date: submitted 2021-08-23, published 2023-02.
Author affiliation flagged for reporting: 广东电网有限责任公司 (Guangdong Power Grid Co., Ltd.).
Cross-referenced page locations: citation anomalies span pages 165, 167, and 172; Figure 6 and Figure 7 in Section 3.2 (System Performance Evaluation); Section 1.2 (Terminal Workstation).

Notes

Confidence levels: Findings 1, 2, and 4 are marked as confirmed (✅). Finding 3 is marked as insufficient evidence (⚠️) and relies on visual interpretation of figure data; physical inspection of the original figures or raw datasets would be required to confirm manipulation.
Mechanism suspected: The combination of citation–reference mismatch, internally inconsistent performance claims, anachronistic technical parameters, and suspiciously uniform figure data is consistent with ghostwriting, machine-generated drafting, or large-scale copy-paste fabrication rather than scholarly authorship.
Recommended actions: Contact authors for raw experimental data and code; post concerns on PubPeer; submit a formal complaint to the editorial office of Electronic Design Engineering (《电子设计工程》); report to the academic ethics committee of the authors' institution (Guangdong Power Grid Co., Ltd.).
Scope limitation: This is an AI-assisted analysis for academic discussion. Final determination of academic misconduct requires formal investigation by qualified institutions. False positives and missed cases are possible.