General model for best feature extraction of EEG using discrete wavelet transform wavelet family and differential evolution

Al-Qerem, Ahmad; Kharbat, Faten F.; Nashwan, Shadi; Ashraf, Staish; blaou, khairi

doi:10.1177/1550147720911009

Cited by 60 publications

(29 citation statements)

References 41 publications

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“…The essential challenges in the implementation and use of a WMSN are associated with the patient's privacy and the credibility of the received medical instructions [3]. Due to the open nature of wireless networks, unauthorized parties can access, modify, and forward the transmitted messages to deliver incorrect instructions or advice to patients [7,8]. It is particularly dangerous if the unauthorized party is able to instruct the patient to disable the wearable sensor devices, such as heart pumps [9].…”

Section: Introductionmentioning

confidence: 99%

Secure and Anonymous Three-Factor Authentication Scheme for Remote Healthcare Systems

Alanazi¹,

Nashwan²

2022

Computer Systems Science and Engineering

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Wireless medical sensor networks (WMSNs) play a significant role in increasing the availability of remote healthcare systems. The vital and physiological data of the patient can be collected using the WMSN via sensor nodes that are placed on his/her body and then transmitted remotely to a healthcare professional for proper diagnosis. The protection of the patient's privacy and their data from unauthorized access is a major concern in such systems. Therefore, an authentication scheme with a high level of security is one of the most effective mechanisms by which to address these security concerns. Many authentication schemes for remote patient monitoring have been proposed recently. However, the majority of these schemes are extremely vulnerable to attacks and are unsuitable for practical use. This paper proposes a secure three-factor authentication scheme for a patient-monitoring healthcare system that operates remotely using a WMSN. The proposed authentication scheme is formally verified using the Burrows, Abadi and Needham's (BAN) logic model and an automatic cryptographic protocol verifier (ProVerif) tool. We show that our authentication scheme can prevent relevant types of security breaches in a practical context according to the discussed possible attack scenarios. Comparisons of the security and performance are carried out with recently proposed authentication schemes. The results of the analysis show that the proposed authentication scheme is secure and practical for use, with reasonable storage space, computation, and communication efficiency.

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Section: Introductionmentioning

confidence: 99%

Secure and Anonymous Three-Factor Authentication Scheme for Remote Healthcare Systems

Alanazi¹,

Nashwan²

2022

Computer Systems Science and Engineering

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“…The SAK-AKA scheme can support attractive security services such as full mutual authentication, perfect forward secrecy, and anonymity services [3], [4], [5], [6] [7]. Furthermore, the SAK-AKA scheme can resist numerous types of related attacks such as the denial of service (DOS), replay, desynchronization, and man-in-the-middle attacks [8], [10], [11]. The main authentication entities of the SAK-AKA scheme are the home subscriber server (HSS), mobility management entity (MME), and user equipment (UE) [3].…”

Section: Introductionmentioning

confidence: 99%

Reducing the Overhead Messages Cost of the SAK-AKA Authentication Scheme for 4G/5G Mobile Networks

Nashwan

2021

IEEE Access

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One of the recently proposed authentication schemes for 4G/5G mobile networks is a secure anonymity key of authentication and key agreement scheme (SAK-AKA), wherein the home subscriber server (HSS), mobility management entity (MME), and user equipment (UE) represent authentication entities. In the SAK-AKA scheme, UE authentication is performed through an initial authentication processes session (IAPS) and subsequent authentication processes session (SAPS) phases to ensure that the UE is authorized to use the network services. In IAPS, the MME accesses the HSS to obtain the authentication parameters and delegates the HSS to execute the authentication process with the UE mutually. Since accessing the HSS is expensive, the HSS generates a number (k) of authentication vectors (AVs) and then sends them back to the MME one at a time. SAPS is then executed (k) times to authenticate the UE without going back to the HSS. Therefore, it is useful to choose a specific value of (k) that would reduce the traffic cost. In this paper, we proposed an analytical cost function model to examine the effect of the (k) value on the transmission cost of authentication processes. The proposed model assumes that the signaling traffic of the SAK-AKA scheme is represented by a Poisson process where the authentication request time has an exponential distribution. This model was analyzed numerically to identify appropriate values of the (k-AVs) that can minimize the overhead messages cost of the SAK-AKA scheme.

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“…Today, the Internet of Things (IoT) healthcare system is in common use around the world. Its essential goal is to monitor a patient’s vital signs while a physician delivers treatment and medical advice remotely; moreover, it can reduce the number of the healthcare centers and bring expert medical care to remote areas where there is a shortage of them [ 1 , 2 , 3 , 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…In E2EA, the communication nodes of the IoT architecture are the gateway node (GWN), representing the healthcare service provider, the physician’s monitoring device (P i ), the patient’s smart device (SD j ), and the nodes (S k ) as illustrated in Figure 1 . The S k sensor nodes collect the patient’s vital signs and send them as an on-demand report to the SD j ; the S k actuator nodes receive medical orders from the P i through the SD j to perform a specific action such as turning on the insulin pumps [ 1 , 2 , 3 , 4 , 5 , 6 ]. Communication between the SD j and S k nodes is accomplished via the WMSN [ 1 , 2 , 3 , 4 , 5 , 6 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…The S k sensor nodes collect the patient’s vital signs and send them as an on-demand report to the SD j ; the S k actuator nodes receive medical orders from the P i through the SD j to perform a specific action such as turning on the insulin pumps [ 1 , 2 , 3 , 4 , 5 , 6 ]. Communication between the SD j and S k nodes is accomplished via the WMSN [ 1 , 2 , 3 , 4 , 5 , 6 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

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An Analytic Model for Reducing Authentication Signaling Traffic in an End-to-End Authentication Scheme

Nashwan

2021

Sensors

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In an end-to-end authentication (E2EA) scheme, the physician, patient, and sensor nodes authenticate each other through the healthcare service provider in three phases: the long-term authentication phase (LAP), short-term authentication phase (SAP), and sensor authentication phase (WAP). Once the LAP is executed between all communication nodes, the SAP is executed (m) times between the physician and patient by deriving a new key from the PSij key generated by healthcare service provider during the LAP. In addition, the WAP is executed between the connected sensor and patient (m + 1) times without going back to the service provider. Thus, it is critical to determine an appropriate (m) value to maintain a specific security level and to minimize the cost of E2EA. Therefore, we proposed an analytic model in which the authentication signaling traffic is represented by a Poisson process to derive an authentication signaling traffic cost function for the (m) value. wherein the residence time of authentication has three distributions: gamma, hypo-exponential, and exponential. Finally, using the numerical analysis of the derived cost function, an optimal value (m) that minimizes the authentication signaling traffic cost of the E2EA scheme was determined.

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General model for best feature extraction of EEG using discrete wavelet transform wavelet family and differential evolution

Cited by 60 publications

References 41 publications

Secure and Anonymous Three-Factor Authentication Scheme for Remote Healthcare Systems

Secure and Anonymous Three-Factor Authentication Scheme for Remote Healthcare Systems

Reducing the Overhead Messages Cost of the SAK-AKA Authentication Scheme for 4G/5G Mobile Networks

An Analytic Model for Reducing Authentication Signaling Traffic in an End-to-End Authentication Scheme

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