Data-Driven Innovations in Networked Systems and Applications: Recent Developments and Emerging Trends
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 June 2024 | Viewed by 1229
Special Issue Editor
Interests: cloud computing; big data; deep learning; IOT; wireless networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Networked systems and applications are at the heart of the digital revolution, powering the connected world we live in. The relentless march of innovation in this domain is redefining the boundaries of what is possible. At the core of this transformation lies data—the lifeblood of our connected ecosystems. From 5G's connectivity revolution to IoT's intelligent interconnectivity and edge computing's real-time processing, the latest trends are shaping a future in which our networks optimize efficiency and redefine security and privacy. If you're at the forefront of this digital evolution—leveraging data analytics, AI, and ML, and pioneering novel applications—we invite you to share your insights. Join us on a journey into the heart of data-driven innovation, where networks and applications shape a smarter, connected world.
The scope of the Special Issue includes, but is not limited to, the following topics:
- Emerging Technologies: Exploration of emerging technologies, such as 5G, IoT, edge computing, and beyond, and their impact on networked systems and applications.
- Network Design and Architecture: Innovations in network design, architecture, and protocols to enhance performance, scalability, and efficiency.
- Wireless and Mobile Communications: Advancements in wireless and mobile networking, including mobile ad-hoc networks, vehicular networks, and mobile app development.
- Cloud Computing and Virtualization: Strategies for efficient cloud utilization, virtualization technologies, and cloud-based applications.
- Data Management and Analytics: Techniques for data management, analytics, and big data processing in networked systems.
- Security and Privacy: Innovations in network security, privacy preservation, and threat detection.
- Applications and Use Cases: Case studies and novel applications of networked systems across various domains, including healthcare, transportation, smart cities, and more.
- Scalability and Performance Optimization: Methods to enhance the scalability and performance of networked systems to meet the growing demands of the digital age.
Prof. Dr. Ming Liu
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- networked systems and applications
- Internet of Things (IoT)
- artificial intelligence (AI)
- big data
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Network Intrusion Detection based on PreNorm-Transformer
Authors: Shuquan Feng
Affiliation: Tianjin Normal University
Abstract: Network intrusion detection has always been a critical component of safeguarding the information security ecosystem against malicious attacks. Early network intrusion detection methods primarily relied on predefined rules and patterns, making them less effective against emerging threats. Traditional machine learning-based intrusion detection methods struggled to capture complex sequence information and temporal features, resulting in low detection accuracy and high false alarm rates when dealing with large volumes of network traffic. Existing research in deep learning has shown the ability to identify temporal dependencies within network data streams, but their performance on long sequences was suboptimal. In this study, we constructed a PreNorm-Transformer network model based on a multi-head self-attention mechanism. This model not only extracts key features but also thoroughly explores the temporal characteristics among attack data streams. Through pre-processing of features to reduce resource overhead and enhance model fitting capabilities, we selected the optimal loss function for parallel training, enabling intrusion behavior detection on network flow data. Experimental results on the UNSW-NB15 dataset demonstrate that the intrusion detection method based on the PreNorm-Transformer network model achieves an accuracy rate of 94.28%, surpassing SVM's 85.99%, LSTM's 88.67%, and the Combined Multiple Convolutional Model (CAL)'s 90.37%.