Volume 55, Issue 11November 2023
Bibliometrics
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Botnet Business Models, Takedown Attempts, and the Darkweb Market: A Survey
Article No.: 219, pp 1–39https://doi.org/10.1145/3575808

Botnets account for a substantial portion of cybercrime. Botmasters utilize darkweb marketplaces to promote and provide their services, which can vary from renting or buying a botnet (or parts of it) to hiring services (e.g., distributed denial of service ...

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Code Search: A Survey of Techniques for Finding Code
Article No.: 220, pp 1–31https://doi.org/10.1145/3565971

The immense amounts of source code provide ample challenges and opportunities during software development. To handle the size of code bases, developers commonly search for code, e.g., when trying to find where a particular feature is implemented or when ...

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A Survey on Virtual Network Functions for Media Streaming: Solutions and Future Challenges
Article No.: 221, pp 1–37https://doi.org/10.1145/3567826

Media services must ensure an enhanced user’s perceived quality during content playback to attract and retain audiences, especially while the streams are distributed remotely via networks. Thus, media streaming services rely heavily on good and ...

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Open Access
Cutting-Edge Assets for Trust in 5G and Beyond: Requirements, State of the Art, Trends, and Challenges
Article No.: 222, pp 1–36https://doi.org/10.1145/3572717

In 5G and beyond, the figure of cross-operator/domain connections and relationships grows exponentially among stakeholders, resources, and services, with reputation-based trust models being one of the capital technologies leveraged for trustworthy ...

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A Survey on Seismic Sensor based Target Detection, Localization, Identification, and Activity Recognition
Article No.: 223, pp 1–36https://doi.org/10.1145/3568671

Current sensor technologies facilitate device-free and non-invasive monitoring of target activities and infrastructures to ensure a safe and inhabitable environment. Device-free techniques for sensing the surrounding environment are an emerging area of ...

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Open Access
Knowledge Tracing: A Survey
Article No.: 224, pp 1–37https://doi.org/10.1145/3569576

Humans’ ability to transfer knowledge through teaching is one of the essential aspects for human intelligence. A human teacher can track the knowledge of students to customize the teaching on students’ needs. With the rise of online education platforms, ...

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Non-relational Databases on FPGAs: Survey, Design Decisions, Challenges
Article No.: 225, pp 1–37https://doi.org/10.1145/3568990

Non-relational database systems (NRDS) such as graph and key-value have gained attention in various trending business and analytical application domains. However, while CPU performance scaling becomes increasingly more difficult, field-programmable gate ...

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Open Access
Private Graph Data Release: A Survey
Article No.: 226, pp 1–39https://doi.org/10.1145/3569085

The application of graph analytics to various domains has yielded tremendous societal and economical benefits in recent years. However, the increasingly widespread adoption of graph analytics comes with a commensurate increase in the need to protect ...

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SoK: Deep Learning-based Physical Side-channel Analysis
Article No.: 227, pp 1–35https://doi.org/10.1145/3569577

Side-channel attacks represent a realistic and serious threat to the security of embedded devices for already almost three decades. A variety of attacks and targets they can be applied to have been introduced, and while the area of side-channel attacks ...

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Open Access
Hybrid Clouds Arising from Software as a Service Adoption: Challenges, Solutions, and Future Research Directions
Article No.: 228, pp 1–35https://doi.org/10.1145/3570156

Information technology (IT) departments are increasingly challenged to replace legacy applications with novel public cloud software as a service (SaaS) to innovate the organization's business processes. The resulting hybrid cloud is formed by integrating ...

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Neural Machine Translation for Low-resource Languages: A Survey
Article No.: 229, pp 1–37https://doi.org/10.1145/3567592

Neural Machine Translation (NMT) has seen tremendous growth in the last ten years since the early 2000s and has already entered a mature phase. While considered the most widely used solution for Machine Translation, its performance on low-resource ...

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Scheduling of Resource Allocation Systems with Timed Petri Nets: A Survey
Article No.: 230, pp 1–27https://doi.org/10.1145/3570326

Resource allocation systems (RASs) belong to a kind of discrete event system commonly seen in the industry. In such systems, available resources are allocated to concurrently running processes to optimize some performance criteria. Search strategies in ...

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Cross-Domain WiFi Sensing with Channel State Information: A Survey
Article No.: 231, pp 1–37https://doi.org/10.1145/3570325

The past years have witnessed the rapid conceptualization and development of wireless sensing based on Channel State Information (CSI) with commodity WiFi devices. Recent studies have demonstrated the vast potential of WiFi sensing in detection, ...

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A Systematic Survey of Regularization and Normalization in GANs
Article No.: 232, pp 1–37https://doi.org/10.1145/3569928

Generative Adversarial Networks (GANs) have been widely applied in different scenarios thanks to the development of deep neural networks. The original GAN was proposed based on the non-parametric assumption of the infinite capacity of networks. However, ...

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Transforming Large-Size to Lightweight Deep Neural Networks for IoT Applications
Article No.: 233, pp 1–35https://doi.org/10.1145/3570955

Deep Neural Networks (DNNs) have gained unprecedented popularity due to their high-order performance and automated feature extraction capability. This has encouraged researchers to incorporate DNN in different Internet of Things (IoT) applications in ...

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Path-Planning for Unmanned Aerial Vehicles with Environment Complexity Considerations: A Survey
Article No.: 234, pp 1–39https://doi.org/10.1145/3570723

Unmanned aerial vehicles (UAVs) have the potential to make a significant impact in a range of scenarios where it is too risky or too costly to rely on human labour. Fleets of autonomous UAVs, which complete tasks collaboratively while managing their basic ...

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Open Access
Five Facets of 6G: Research Challenges and Opportunities
Article No.: 235, pp 1–39https://doi.org/10.1145/3571072

While the fifth-generation systems are being rolled out across the globe, researchers have turned their attention to the exploration of radical next-generation solutions. At this early evolutionary stage, we survey five main research facets of this field, ...

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Constructing Neural Network Based Models for Simulating Dynamical Systems
Article No.: 236, pp 1–34https://doi.org/10.1145/3567591

Dynamical systems see widespread use in natural sciences like physics, biology, and chemistry, as well as engineering disciplines such as circuit analysis, computational fluid dynamics, and control. For simple systems, the differential equations governing ...

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AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey
Article No.: 237, pp 1–40https://doi.org/10.1145/3570954

The Controller Area Network (CAN) is the most widely used in-vehicle communication protocol, which still lacks the implementation of suitable security mechanisms such as message authentication and encryption. This makes the CAN bus vulnerable to numerous ...

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SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols
Article No.: 238, pp 1–50https://doi.org/10.1145/3570639

As an integral part of the decentralized finance (DeFi) ecosystem, decentralized exchanges (DEXs) with automated market maker (AMM) protocols have gained massive traction with the recently revived interest in blockchain and distributed ledger technology (...

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Optimization Techniques for GPU Programming
Article No.: 239, pp 1–81https://doi.org/10.1145/3570638

In the past decade, Graphics Processing Units have played an important role in the field of high-performance computing and they still advance new fields such as IoT, autonomous vehicles, and exascale computing. It is therefore important to understand how ...

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Blockchain-empowered Federated Learning: Challenges, Solutions, and Future Directions
Article No.: 240, pp 1–31https://doi.org/10.1145/3570953

Federated learning is a privacy-preserving machine learning technique that trains models across multiple devices holding local data samples without exchanging them. There are many challenging issues in federated learning, such as coordinating participants’...

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