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Multimedia Data and Network Security

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Special Issue Editor

Dr. Zahid Akhtar

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Guest Editor

Department of Network and Computer Security, State University of New York Polytechnic Institute, C135, Kunsela Hall, Utica, NY 13502, USA
Interests: machine learning and computer vision with applications to cybersecurity; biometrics; deepfakes; affect recognition; image and video processing; perceptual-based audiovisual multimedia quality assessment

Special Issue Information

Dear Colleagues,

In the digital era, multimedia data have become integral to our daily lives, permeating various platforms and networks. The multimedia data proliferation coupled with the increasing complexity of network infrastructures has brought unprecedented challenges and opportunities in the realm of security and integrity of such data and networks. This Special Issue aims to explore the pressing challenges and innovations in protecting multimedia data and the networks through which it is transmitted. This Special Issue seeks high-quality, original research contributions that present cutting-edge methodologies, frameworks, and technologies designed to enhance multimedia data security. By bringing together researchers, academicians, and practitioners, this Special Issue aspires to foster the dissemination of the latest findings, stimulate innovative ideas, and shape future research directions in the field of multimedia data and network security. We welcome your valuable contributions to this crucial discourse.

Dr. Zahid Akhtar
Guest Editor

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Keywords

multimedia security
network security
data encryption
digital watermarking
steganography
content protection
cryptography
secure multimedia communication
secure multimedia streaming
multimedia forensics
network intrusion detection
secure data transmission
multimedia authentication
secure multimedia storage
multimedia privacy
new transmission protocols
blockchain technology
privacy preserving multimedia processing
deep fake detection and mitigation
secure communication in wireless and mobile networks
threat modeling and risk assessment
security in IoT and smart networks
cross-layer security mechanisms for multimedia and network integration
AI and machine learning applications in multimedia and network security
case studies and real-world applications of integrated security solutions

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Published Papers (1 paper)

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Research

18 pages, 1079 KiB

Open AccessArticle

A Threefold Approach for Enhancing Fuzzy Interpolative Reasoning: Case Study on Phishing Attack Detection Using Sparse Rule Bases

by Mohammad Almseidin, Maen Alzubi, Jamil Al-Sawwa, Mouhammd Alkasassbeh and Mohammad Alfraheed

Computers 2024, 13(11), 291; https://doi.org/10.3390/computers13110291 - 8 Nov 2024

Viewed by 404

Abstract

Fuzzy systems are powerful modeling systems for uncertainty applications. In contrast to traditional crisp systems, fuzzy systems offer the opportunity to extend the binary decision to continuous space, which could offer benefits for various application areas such as intrusion detection systems (IDSs), because of their ability to measure the degree of attacks instead of making a binary decision. Furthermore, fuzzy systems offer a suitable environment that is able to deal with uncertainty. However, fuzzy systems face a critical challenge represented by the sparse fuzzy rules. Typical fuzzy systems demand complete fuzzy rules in order to offer the required results. Additionally, generating complete fuzzy rules can be difficult due to many factors, such as a lack of knowledge base or limited data availability, such as in IDS applications. Fuzzy rule interpolation (FRI) was introduced to overcome this limitation by generating the required interpolation results in cases with sparse fuzzy rules. This work introduces a threefold approach designed to address the cases of missing fuzzy rules, which uses a few fuzzy rules to handle the limitations of missing fuzzy rules. This is achieved by finding the interpolation condition of neighboring fuzzy rules. This procedure was accomplished based on the concept of factors (which determine the degree to which each neighboring fuzzy rule contributes to the interpolated results, in cases of missing fuzzy rules). The evaluation procedure for the threefold approach was conducted using the following two steps: firstly, using the FRI benchmark numerical metrics, the results demonstrated the ability of the threefold approach to generate the required results for the various benchmark scenarios. Secondly, using a real-life dataset (phishing attacks dataset), the results demonstrated the effectiveness of the suggested approach to handle cases of missing fuzzy rules in the area of phishing attacks. Consequently, the suggested threefold approach offers an opportunity to reduce the number of fuzzy rules effectively and generate the required results using only a few fuzzy rules. Full article

(This article belongs to the Special Issue Multimedia Data and Network Security)

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