It’s happened to all of us: You’re putting the final touches on your manuscript and run plagiarism detection software against it. Somehow, part of the software’s report ends up in your abstract — and neither you nor the peer reviewers nor the publishing team notices.
Well, it’s happened to one group of researchers, anyway.
Here’s one such passage, which appears right in “
Identification of Selective Forwarding Attacks in Remote locator Network utilizing Adaptive Trust Framework,” a 2019 paper that was part of the
IOP Conference Series: Materials Science and Engineering:
Warning: Demo Version – reports are fragmented! Abnormal state of Plagiarism might be identified! Get your entire report: 1. Most point by point reports. 2. Moment permit initiation. 3. Lifetime bolster.
The text splits the word “evaluates” in half, making for a split verb if not exactly a split infinitive. Here it is in situ (formatting ours):
Discovery of SFA in Wireless Sensing Networks utilizing Adaptive and Channel mindful Reputation Systems. Wireless detecting component systems (Wireless sensor networks) use unit defenseless against SFA. It will malignantly drop a subset of forward packets to corrupt system execution and also imperil the information trustworthiness. It represents a decent test to distinguish the malignant drop and conventional bundle misfortune. Amid this paper, we propose a Channel-mindful name System with versatile recognition edge (Adaptive – Channel – mindful notoriety framework) to discover SFA in Wireless sensor networks. The Adaptive – Channel – mindful notoriety framework eval Warning: Demo Version – reports are fragmented! Abnormal state of Plagiarism might be identified! Get your entire report: 1. Most point by point reports. 2. Moment permit initiation. 3. Lifetime bolster. uates the data forward behaviors of sensor hubs, in venture with the deviation of the observed bundle misfortune and furthermore the measurable conventional misfortune. To streamline the exact location of Adaptive – Channel – mindful notoriety framework, we tend to in principle determine the best limit for forward analysis Broad reproduction comes about show That Adaptive – Channel – mindful notoriety framework will precisely discover SFA and decide the bargained detecting component hubs, though the assault tolerant data forward theme will essentially enhance the data conveyance size connection of the system.
Sadly, we do not know what the report itself says. The corresponding author, B. Baron sam, of the School of Computing at the Sathyabama Institute of Science and Technology in Chennai, India, did not respond to requests for comment.
This little gem was
flagged by Nick Wise, an engineering graduate student at Cambridge.
Lauren Flintoft, a research integrity officer at IOP Publishing, which published the conference series, told Retraction Watch:
I’m afraid we weren’t aware of this matter. We’ll make sure to investigate in line with the principles set out by COPE, and I will keep you informed of any outcome of the case as appropriate.
Of course, this is hardly the first time authors inadvertently left a revealing editing comment in a paper.
Anyone remember “
Should we cite the crappy Gabor paper here?”
