Modelling Features-Based Birthmarks for Security of End-to-End Communication System
Author | Li, Meilian |
Author | Nazir, Shah |
Author | Khan, Habib Ullah |
Author | Shahzad, Sara |
Author | Amin, Rohul |
Available date | 2022-12-29T06:30:04Z |
Publication Date | 2020-06-29 |
Publication Name | Security and Communication Networks |
Identifier | http://dx.doi.org/10.1155/2020/8852124 |
Citation | Li, M., Nazir, S., Khan, H. U., Shahzad, S., & Amin, R. (2020). Modelling features-based birthmarks for security of end-to-end communication system. Security and Communication Networks, 2020. |
ISSN | 1939-0114 |
Abstract | Feature-based software birthmark is an essential property of software that can be used for the detection of software theft and many other purposes like to assess the security in end-to-end communication systems. Research on feature-based software birthmark shows that using the feature-based software birthmark joint with the practice of software birthmark estimation together can deliver a right and influential method for detecting software piracy and the amount of piracy done by a software. This can also guide developers in improving security of end-to-end communication system. Modern day software industry and systems are in demand to have an unbiased method for comparing the features-based birthmark of software competently, and more concretely for the detecting software piracy and assessing the security of end-to-end communication systems. In this paper, we proposed a mathematical model, which is based on a differential system, to present feature-based software birthmark. The model presented in this paper provides an exclusive way for the features-based birthmark of software and then can be used for comparing birthmark and assessing security of end-to-end communication systems. The results of this method show that the proposed model is efficient in terms of effectiveness and correctness for the features-based software birthmark comparison and security assessment purposes. |
Language | en |
Publisher | Hindawi |
Subject | Computer crime Security assessment Software birthmarks Feature extraction |
Type | Article |
Volume Number | 2020 |
ESSN | 1939-0122 |
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