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Future Internet
Special Issues
State-of-the-Art Future Internet Technology in USA 2026–2027
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State-of-the-Art Future Internet Technology in USA 2026–2027

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: 31 December 2027 | Viewed by 1982

Editors

Dr. Eirini Eleni Tsiropoulou

E-Mail Website
Guest Editor
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA
Interests: network modeling and optimization; IoT; cyber–physical systems; smart grid systems; network economics; wireless networks; social networks; cybersecurity; resource management; reinforcement learning; human behavior modeling; concentrated solar power systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Symeon Papavassiliou

E-Mail Website
Guest Editor
School of Electrical and Computer Engineering, National Technical University of Athens, Iroon Polytechniou 9, 15780 Athens, Greece
Interests: complex networks; wireless systems; ad hoc and sensor networks; software-defined radios and software-defined networks; online social networks; network modeling and optimization; network economics; cyber–physical systems; internet of things; future internet research experimentation; resource orchestration; 5G/6G system design; system sustainability
Special Issues, Collections and Topics in MDPI journals
Dr. Dimitrios Michael Manias

E-Mail Website
Guest Editor
Department of Computer Science and Engineering, Mississippi State University, Starkville, MS 39762, USA
Interests: 5G/6G networks; next-generation network services and applications; intelligent network management and orchestration; zero-touch networks; operations research; ML/AI lifecycle management; quantum networks; cybersecurity; smart systems; IoT

Special Issue Information

Dear Colleagues,

This Special Issue aims to provide a comprehensive overview of the current state of the art in Future Internet technology in the USA. We invite the contribution of research articles that will consolidate our understanding in this area.

The Special Issue will publish full research papers and reviews. Potential topics include, but are not limited to, the following research areas:

  • Advanced communication network infrastructures;
  • Internet of Things;
  • Centralized and distributed data centers;
  • Industrial internet;
  • Embedded computing;
  • 5G/6G networking;
  • IoT platforms, integration, and services;
  • Software-defined network functions and network virtualization;
  • Quality of service in wireless and mobile networks;
  • Vehicular cloud networks;
  • Cloud-let and fog computing;
  • Cyber–physical systems;
  • Smart energy systems;
  • Smart healthcare systems;
  • Smart manufacturing lines;
  • Smart cities;
  • Human–computer interaction and usability;
  • Smart learning systems;
  • Artificial and augmented intelligence;
  • Cyber security compliance;
  • Public safety;
  • Human behavior modeling;
  • Hardware security;
  • Multi-access edge computing;
  • Digital twins for future internet;
  • Zero-touch management for IoT;
  • Metaverse and future networks.

Dr. Eirini Eleni Tsiropoulou
Prof. Dr. Symeon Papavassiliou
Dr. Dimitrios Michael Manias
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly 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 1800 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

  • wireless networks
  • smart grid systems
  • cybersecurity
  • public safety
  • cyber–physical systems
  • edge computing
  • smart cities
  • Internet of Things

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Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (2 papers)

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Research

23 pages, 619 KB  
Article
A Transformer-Based Intrusion Detection System for Zero-Day Attack Detection in IoT Networks
by Murtadha D. Hssayeni and Imadeldin Mahgoub
Future Internet 2026, 18(6), 282; https://doi.org/10.3390/fi18060282 - 25 May 2026
Viewed by 363
Abstract
The possibility of zero-day attacks on Internet of Things (IoT) networks is high, particularly in dynamic and heterogeneous IoT environments, including emerging battlefield scenarios (IoBT). Detecting these attacks requires adaptive and generalizable security mechanisms. Due to the unique and unknown signatures of these [...] Read more.
The possibility of zero-day attacks on Internet of Things (IoT) networks is high, particularly in dynamic and heterogeneous IoT environments, including emerging battlefield scenarios (IoBT). Detecting these attacks requires adaptive and generalizable security mechanisms. Due to the unique and unknown signatures of these attacks, they go undetected using signature-based Intrusion Detection Systems (IDSs) on the one side. On the other side, current anomaly-based IDSs that employ traditional machine learning on statistical features struggle to adapt and generalize to unknown networks, which is the case in IoBT. Transformer-based deep learning models have shown the capability of learning complex sequential patterns. This ability can be leveraged to analyze packet payloads that encompass opcodes capable of executing malicious patterns within an IoT network. In this work, we propose a dual-stage Transformer IDS that operates on the raw payload of network packets to detect zero-day attacks. Due to the lack of IoBT datasets, we evaluate the algorithm on three comprehensive IoT traffic benchmarks—MQTT-IoT, IoT-23, and CIC-IoT-2022—which have a high number of IoT devices and various attacks. Importantly, model evaluation is performed in two cross-validation settings to address the key operational challenges associated with unseen scenarios and networks. The evaluation settings are split-at-scenario to evaluate the detection ability of zero-day attacks and split-at-dataset to evaluate the model’s generalizability to new environments. In the former, the average increase in the F1-score of the proposed algorithm over the baseline model is 44% in detecting four zero-day attacks presented in the MQTT-IoT dataset. In the latter, the average increase in the F1-score is 16% in detecting malicious attacks across the three datasets. These results show the benefit of advanced AI in securing the next generation of IoT systems in future Internet applications. Full article
(This article belongs to the Special Issue State-of-the-Art Future Internet Technology in USA 2026–2027)
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15 pages, 5848 KB  
Article
A Software Defined Radio Implementation of Non-Orthogonal Multiple Access with Reliable Decoding via Error Correction
by Dipanjan Adhikary and Eirini Eleni Tsiropoulou
Future Internet 2026, 18(3), 128; https://doi.org/10.3390/fi18030128 - 2 Mar 2026
Viewed by 893
Abstract
Non-orthogonal multiple access (NOMA) has been identified as one of the key technologies for 6G capacity and latency gains. However, existing implementation challenges of the NOMA technique, related to carrier, timing, and phase offsets, successive interference cancellation (SIC) error propagation, packet loss dynamics, [...] Read more.
Non-orthogonal multiple access (NOMA) has been identified as one of the key technologies for 6G capacity and latency gains. However, existing implementation challenges of the NOMA technique, related to carrier, timing, and phase offsets, successive interference cancellation (SIC) error propagation, packet loss dynamics, and host to software defined radios processing jitter, create obstacles in the practical implementation of NOMA. This paper bridges the gap between theory and hardware by introducing a complete two-user NOMA transmit–receive chain on a low-cost ADALM-Pluto software defined radio (SDR) platform. The proposed implementation integrates matched filtering, offset estimation and correction, SIC with waveform reconstruction and subtraction, and reliability reinforcement via rate-1/2 convolutional coding with Viterbi decoding. We have performed a complete validation of the proposed design in both downlink and uplink modes. We collected data regarding the packet-level and system-related metrics, such as end-to-end latency, bit error rate (BER), and success rate. Moreover, we demonstrate the implementation of the uplink NOMA without need for expensive GPS-disciplined oscillators by leveraging the Pluto Rev-C dual-transmit channels that share a common oscillator. We present detailed experimental results at 915 MHz with BPSK modulation for the downlink performance, and also show a full implementation of the uplink NOMA. We observe excellent reliability for the downlink setup and good reliability for the uplink system. Full article
(This article belongs to the Special Issue State-of-the-Art Future Internet Technology in USA 2026–2027)
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