Secure and lightweight remote patient authentication scheme with biometric inputs for mobile healthcare environments

Mohammedi, Mohamed; Omar, Mawloud; Bouabdallah, Abdelmadjid

doi:10.1007/s12652-017-0574-5

Cited by 24 publications

(6 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To overcome these weaknesses, they proposed an improved protocol that employs only elliptic curve scalar multiplication for both the reader and the tag. They show that their proposed scheme can withstand known attacks like MITM attack and requires 50% less communication cost and 23% less computation time than the Mohammedi et al [23] scheme. Mason et al [25] provide an advanced technique for securely identifying patients.…”

Section: Introductionmentioning

confidence: 97%

“…The HIMS is called CareMed HIMS and a combination of technologies such as UML, biometrics, data management and computer programming have been used to develop the system. Mohammedi et al [23] proposed a lightweight biometric-based authentication scheme for mobile healthcare environments. The suggested scheme converts the patient biometric data to ECC-based keys so there is no need to save or communicate the patient's biometric template.…”

Section: Introductionmentioning

confidence: 99%

“…Adeli et al [24] made a detailed analysis of the scheme in [23] and show that the proposed protocol is vulnerable to some known attacks like MITM attack and they also demonstrate that the protocol does not provide some important security feathers like anonymity, forward secrecy and untraceability. To overcome these weaknesses, they proposed an improved protocol that employs only elliptic curve scalar multiplication for both the reader and the tag.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Secure two-factor mutual authentication scheme using shared image in medical healthcare environment

Abdulmalik

Yassin

2023

Bulletin EEI

View full text Add to dashboard Cite

The cloud healthcare system has become the essential online service during the COVID-19 pandemic. In this type of system, the authorized user may login to a distant server to acquire the service and resources they demand, we need full security procedures that cover criteria such as authentication, privacy, integrity, and availability. The journey of security for any healthcare system starts with the authentication of users based on their privileges. Traditional user authentication mechanisms, such as password and personal identification number (PIN) typing, are vulnerable to malicious attacks like on/offline, insider, replay, guessing, and shoulder surfing. To address these issues, we proposed a secure authentication scheme that uses the authenticated delegating mechanism based on two factors: a one-time password and generating a secure variable vector from a legible user's digital image to enable the permission of a user through the back-end database of a cloud server. The proposed mutual authentication can protect the information against well-known attacks, ensure the user's privacy, and key management. Moreover, comparisons with existing schemes show that the proposed scheme supplies more privacy, security metrics, and resistance to attacks than the others while being more efficient in computation and communication costs.

show abstract

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Secure two-factor mutual authentication scheme using shared image in medical healthcare environment

Abdulmalik

Yassin

2023

Bulletin EEI

View full text Add to dashboard Cite

show abstract

“…Mohammedi et al [ 25 ] proposed a biometrics-based mobile lightweight patient authentication scheme, which was developed by integrating it with information security. Mikhailovskaya et al [ 26 ] introduced the idea of ensuring the stability of information security systems using RFID technology to counter possible attacks through remote scatterers mitigation.…”

Section: Introductionmentioning

confidence: 99%

Hybrid-AI-Based iBeacon Indoor Positioning Cybersecurity: Attacks and Defenses

Huang

Chi²,

Hung

2023

Sensors

View full text Add to dashboard Cite

iBeacon systems have been increasingly established in public areas to assist users in terms of indoor location navigation and positioning. People receive the services through the Bluetooth Low Energy (BLE) installed on their mobile phones. However, the positioning and navigation functions of an iBeacon system may be compromised when faced with cyberattacks issued by hackers. In other words, its security needs to be further considered and enhanced. This study took the iBeacon system of Taipei Main Station, the major transportation hub with daily traffic of at least three hundred thousand passengers, as an example for exploring its potential attacks and further studying the defense technologies, with the assistance of AI techniques and human participation. Our experiments demonstrate that in the early stage of iBeacon system information security planning, information security technology and a rolling coding encryption should be included, representing the best defense methods at present. In addition, we believe that the adoption of rolling coding is the most cost-effective defense. However, if the security of critical infrastructure is involved, the most secure defense method should be adopted, namely a predictable and encrypted rolling coding method.

show abstract

“…However, imposing on-demand security with the integration of risk-based authentication, without interfering with the simple authentication setup under common situations. Nonetheless, a secure and lightweight remote medical verification approach of biometric -based inputs for portable healthcare situations was proposed [16]. It provides an authentication process with a data encryption agreement: i) It does not require distant location transmission of the participant's biometric data; ii) It does not maintain a dataset of interaction binding the sick people to their biometric features; iii) It should not have to analyze biometric data; vi) The mathematical cost is greatly lowered, and it prevents various attacks such as recording, fake accent, virtual machine spoofing, confidentiality, insider, man-in-themiddle, as well as cyber.…”

Section: Introductionmentioning

confidence: 99%

Management patients information based finger print

Fakhri

Jameel

Mahmood

2022

IJEECS

View full text Add to dashboard Cite

<span>The fingerprint is <span>certainly one of the distinguishing features of the human body that is easily available and identifies one individual from another. The fingerprint sensor increases this distinctiveness, which is a device that can automatically classify or identify a person. The fingerprint based medical system is a more efficient means of storing clinical data for patients. It makes take advantage of fingerprint recognition technology to quickly and easily for determine the patient's past medical history. The system consists of an Arduino UNO board, a fingerprint sensor, an secure digital (SD) card module, and a micro-SD card. The suggested technology allows the use of a micro-SD card to store patient information as well as send it by internet. When this system was compared to the manual technique, the results indicate that the main advantage is that the proposed device saves a significant amount of time that manual searching and enrolling requires. Patients' information is simply collected and managed with this system, which has enhanced dependability, durability, and efficiency. It provides improved speed and performance, as well as better data security because the data is stored within the device.</span></span>

show abstract

Secure and lightweight remote patient authentication scheme with biometric inputs for mobile healthcare environments

Cited by 24 publications

References 44 publications

Secure two-factor mutual authentication scheme using shared image in medical healthcare environment

Secure two-factor mutual authentication scheme using shared image in medical healthcare environment

Hybrid-AI-Based iBeacon Indoor Positioning Cybersecurity: Attacks and Defenses

Management patients information based finger print

Contact Info

Product

Resources

About