Evidence map›Paper›PMID 35023996›Full record

ArticleComputer networks2020

IoT in medical & pharmaceutical: Designing lightweight RFID security protocols for ensuring supply chain integrity.

Masoumeh Safkhani, Samad Rostampour, Ygal Bendavid, Nasour Bagheri

Open access · greenAbstract read
In one paragraph

Article in Computer networks, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
7.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 58 citations in OpenAlex.

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  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Masoumeh SafkhaniComputer Engineering Department, Shahid Rajaee Teacher Training University, Tehran, Iran.
Samad RostampourComputer Science Department, Vanier College, Montreal, Canada.
Ygal BendavidAOTI Department, UQAM University, Montreal, Canada.
Nasour BagheriElectrical Engineering Department, Shahid Rajaee Teacher Training University, Iran.
Shahid Rajaee Teacher Training University · IRUniversité du Québec à Montréal · CAVanier College · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays the sharing of trade in counterfeit and pirated goods is constantly growing and fake products are found in a large number of industries - particularly pharmaceuticals, food, and medical equipment - that can pose serious health and safety risks. With the intention of avoiding any loss of client confidence and any disclosure of sensitive information, Internet of Things (IoT) solutions are increasingly used to fulfill this need for a reliable and secure infrastructure in medical & pharmaceutical industry. When looking at the technologies used to identify products and packaging, balancing security and hardware limitations is often a difficult task and using cost-effective techniques such as bit-oriented lightweight functions is a challenge. In this study, we first assess the security level of a recently proposed protocol and prove its vulnerabilities, due to a lack of complexity in bit-oriented functions. Then, to address these exposed flaws, a lightweight improved protocol based on Authenticated Encryption (AE) cryptosystems is presented. Security analysis results demonstrate that weaknesses of previous efforts have all been adequately addressed; additionally, the improved protocol has a robust security posture in terms of confidentiality and integrity. Moreover, FPGA and ASIC simulations are carried out using five different AE schemes from CAESAR competition to develop three use-cases, in whose best scenario the proposed tag has 731 LUT and needs 3335 gates for the security module.

Indexed as

Authenticated EncryptionInternet of ThingsMedical IoTRFIDSecLAPSecuritySupply chain

Identifiers

PMID35023996
PMCPMC7497782
OpenAlexW3087454209

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.