scholarly journals An Efficient and Authentication Signcryption Scheme Based on Elliptic Curves

MATEMATIKA ◽  
2019 ◽  
Vol 35 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Manoj Kumar ◽  
Pratik Gupta
Keyword(s):  
Elliptic Curves ◽  
Computational Cost ◽  
The Internet ◽  
Atm Networks ◽  
Light Weight ◽  
Key Recovery ◽  
Key Establishment ◽  
Efficient Scheme ◽  
Symmetric Key ◽  
Signcryption Scheme

Signcryption schemes are compact and specially suited for efficiency-critical applications such as smart card dependent systems. Several researchers have performed a large number of significant applications of signcryption such as authenticated key recovery and key establishment in one mall data packet, secure ATM networks as well as light weight electronic transaction protocols and multi-casting over the internet. In this paper we have proposed an efficient and efficient scheme of signcryption symmetric key solutions, using elliptic curves by reducing senders computational cost. It needs two elliptic curve point multiplication for sender and comparative study of computational cost for sender and recipient as well as there is no any inverse computation for sender and recipient. This makes it more crucial than others.

Implementing integrated and differentiated services for the Internet with ATM networks: a practical approach

2000 ◽  
Vol 38 (1) ◽  
pp. 132-141 ◽  
Author(s):  
G. Eichler ◽  
H. Hussmann ◽  
G. Mamais ◽  
I. Venieris ◽  
C. Prehofer ◽  
...  
Keyword(s):  
Differentiated Services ◽  
Practical Approach ◽  
The Internet ◽  
Atm Networks

Secure and Optimized Mobile Based Merchant Payment Protocol using Signcryption

2012 ◽  
Vol 6 (2) ◽  
pp. 64-94
Author(s):  
Shaik Shakeel Ahamad ◽  
V. N. Sastry ◽  
Siba K. Udgata
Keyword(s):  
Computational Cost ◽  
Communication Cost ◽  
Storage Space ◽  
Forward Secrecy ◽  
Space Communication ◽  
Payment Protocol ◽  
Man In The Middle ◽  
Security Properties ◽  
Signcryption Scheme ◽  
Constrained Devices

The authors propose a Secure and Optimized Mobile based Merchant Payment (SOMMP) Protocol using Signcryption scheme with Forward Secrecy (SFS) based on elliptic curve which consumes less computational and communication cost. In SOMMP client sends message in the form of TransCertC (Transaction Certificate) which is a X.509 SLC (X.509 Short Lived Certificate) thereby reducing the client interactions with the engaging parties thereby reducing the consumption of resources (from Client’s perspective) which are very scarce in Resource Constrained Devices like Mobile Phones. In SOMMP protocol WSLC (WPKI Short Lived Certificate) eliminates the need of certificates validation and removes the hurdle of PKI thereby reducing storage space, communication cost and computational cost. Their proposed SOMMP ensures Authentication, Integrity, Confidentiality and Non Repudiation, achieves Identity protection from merchant and Eavesdropper, achieves Transaction privacy from Eavesdropper and Payment Gateway, achieves Payment Secrecy, Order Secrecy, forward secrecy, and prevents Double Spending, Overspending and Money laundering. In addition to these SOMMP withstands Replay, Man in the Middle and Impersonation attacks. The security properties of the proposed SOMMP protocol have been verified using BAN Logic, AVISPA and Scyther Tools and presented with results.

scholarly journals An Anomaly-Based Intrusion Detection System for Internet of Medical Things Networks

Electronics ◽  
2021 ◽  
Vol 10 (21) ◽  
pp. 2562
Author(s):  
Georgios Zachos ◽  
Ismael Essop ◽  
Georgios Mantas ◽  
Kyriakos Porfyrakis ◽  
José C. Ribeiro ◽  
...  
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Computational Cost ◽  
Healthcare Sector ◽  
The Internet ◽  
Full Potential ◽  
Log Files ◽  
Wide Range ◽  
Internet Of Medical Things

Over the past few years, the healthcare sector is being transformed due to the rise of the Internet of Things (IoT) and the introduction of the Internet of Medical Things (IoMT) technology, whose purpose is the improvement of the patient’s quality of life. Nevertheless, the heterogenous and resource-constrained characteristics of IoMT networks make them vulnerable to a wide range of threats. Thus, novel security mechanisms, such as accurate and efficient anomaly-based intrusion detection systems (AIDSs), considering the inherent limitations of the IoMT networks, need to be developed before IoMT networks reach their full potential in the market. Towards this direction, in this paper, we propose an efficient and effective anomaly-based intrusion detection system (AIDS) for IoMT networks. The proposed AIDS aims to leverage host-based and network-based techniques to reliably collect log files from the IoMT devices and the gateway, as well as traffic from the IoMT edge network, while taking into consideration the computational cost. The proposed AIDS is to rely on machine learning (ML) techniques, considering the computation overhead, in order to detect abnormalities in the collected data and thus identify malicious incidents in the IoMT network. A set of six popular ML algorithms was tested and evaluated for anomaly detection in the proposed AIDS, and the evaluation results showed which of them are the most suitable.

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