Deep Guard-IoT: A Systematic Review of AI-Based Anomaly Detection Frameworks for Next-Generation IoT Security (2020-2024) DOI Creative Commons

Asst. Prof. Alaa Abdul HUSSAIN Dleih Almowsawi

Wasit Journal of Pure sciences, Год журнала: 2024, Номер 3(4), С. 70 - 77

Опубликована: Дек. 30, 2024

The emergence of IoT devices has complicated the landscape cybersecurity in ways that had never been experienced before, thereby, giving raise to need for more developed methods can assist threat evaluation and deterrent. work international scope analyses particulars artificial intelligence-based anomaly detection technology implementation including perspectives recent period between 2020 2024 various architectures’ effectiveness their use low-resource environments. In this review, as well many other works carried out by authors, it is observed deep learning methods, such us Long Short-Term Memory (LSTM) networks GRU-LSTM hybrid models, achieved most accurate performance, ranging from 96% up 99.9% correct detection. Our examination focuses on several aspects security, challenges at device level, issues related security network data facets intelligence concepts architectures capable addressing challenges. results study state AI techniques tend be efficient have a high performance than conventional before but drawbacks realistic application owing lack adequate resources, absence standard practices sophistication new threats. also highlights gaps exist current approaches makes suggestions what done, importance developing

Язык: Английский

Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis DOI Creative Commons
Mohammed A. Fadhel, Ali M. Duhaim, A. S. Albahri

и другие.

Artificial Intelligence Review, Год журнала: 2024, Номер 57(10)

Опубликована: Авг. 20, 2024

Abstract In response to the burgeoning interest in Metaverse—a virtual reality-driven immersive digital world—this study delves into pivotal role of AI shaping its functionalities and elevating user engagement. Focused on recent advancements, prevailing challenges, potential future developments, our research draws from a comprehensive analysis grounded meticulous methodology. The study, informed by credible sources including SD, Scopus, IEEE, WoS, encompasses 846 retrieved studies. Through rigorous selection process, 54 papers were identified as relevant, forming basis for specific taxonomy Metaverse. Our examination spans diverse dimensions Metaverse, encompassing augmented reality, mixed Blockchain, Agent Systems, Intelligent NPCs, Societal Educational Impact, HCI Systems Design, Technical Aspects. Emphasizing necessity adopting trustworthy findings underscore enhance experience, safeguard privacy, promote responsible technology use. This paper not only sheds light scholarly Metaverse but also explores impact human behavior, education, societal norms, community dynamics. Serving foundation development implementation concept, identifies addresses seven open issues, providing indispensable insights subsequent studies integration

Язык: Английский

Процитировано

20
The Integration of AI and Metaverse in Education: A Systematic Literature Review DOI Creative Commons
Khalid Almeman, Faycel El Ayeb, Mouhebeddine Berrima

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(2), С. 863 - 863

Опубликована: Янв. 16, 2025

The use of the metaverse in educational environments has grown significantly recent years, particularly following shift major tech companies towards virtual worlds and immersive technologies. Virtual reality augmented technologies are employed to construct learning environments. is generally understood as a vast digital ecosystem or space, facilitating transition individuals from physical environments, applicable domains where practical experiments challenging fraught with risks, such space exploration, chemical experimentation, flight simulation training. In addition, integration artificial intelligence within contexts enriched environment, giving rise AI-driven teaching systems tailored each student’s individual pace modalities. As result, number research articles have been conducted explore applications education. This paper provides systematic literature review PRISMA methodology analyze investigate significance impact education, specific focus on AI metaverse. We address inquiries regarding applications, challenges, academic disciplines, effects integrating education that not yet explored most articles. Additionally, we study techniques used their roles. affirms utilization will enrich by improving students’ understanding comprehension across diverse disciplines.

Язык: Английский

Процитировано

3
Comprehensive survey on resource allocation for edge-computing-enabled metaverse DOI

Tanmay Baidya,

Sangman Moh

Computer Science Review, Год журнала: 2024, Номер 54, С. 100680 - 100680

Опубликована: Сен. 9, 2024

Язык: Английский

Процитировано

6
MetaPrism: Intelligent Personalized Engagement Policy for User's Security and Privacy in Metaverse Environment DOI Open Access
Ankur Gupta, Pal Patel,

Krisha Darji

и другие.

Security and Privacy, Год журнала: 2025, Номер 8(2)

Опубликована: Март 1, 2025

ABSTRACT Early iterations of the metaverse have exposed serious flaws pertaining to user privacy and engagement with other users/entities. Users been able collude block movement an individual user, abuse demean them, violate their privacy. Such security may hamper widespread adoption metaverse. The bad experiences largely unregulated social networks, manifesting in fake profiles, sentiment manipulation through news potential law order problems, weighs heavily on future commercial success Amidst calls for tighter regulation media new platforms by national governments, platform designers would need address these existing loopholes priority. This article presents MetaPrism , a novel user‐defined personal policy governing interactions users entities environment. MetaPrism's unique integration deep learning‐based intrusion detection system (DL‐IDS) provides unprecedented combination autonomy capability real‐time threat detection. enables fine‐grained control over how engage including extent scope interactions. Beyond improving safety privacy, establishes scalable, flexible model that aligns emerging regulatory frameworks, ensuring ethical secure growth Our proposed approach also encompasses pressing Intrusion Detection System (IDS) virtual assistant, human‐computer interfaces, Internet Things (IoT) device‐enabled environments. By empowering comprehensive controls delivering reliable cyber detection, paves way broader trust thus assuages concerns large extent. Experimental results demonstrate DL‐IDS achieves classification accuracy 95.46% F1‐score 95.8%, threats such as DDoS, DoS, reconnaissance attacks. framework not only mitigates risks but fosters safer, user‐driven ecosystem, realizes its full transformative digital space.

Язык: Английский

Процитировано

0
How Far Has the Public Accepted the Metaverse? – An Analysis of the Topic Evolution Based on China’s Largest Video Barrage Website DOI
Yiping Zhu, Yang Hu, Ying Zhang

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Март 31, 2025

Язык: Английский

Процитировано

0
Towards a secure Metaverse: Leveraging hybrid model for IoT anomaly detection DOI Creative Commons

Sanchit Vashisht,

Shalli Rani, Mohammad Shabaz

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(4), С. e0321224 - e0321224

Опубликована: Апрель 14, 2025

The seamless interaction between the virtual and real worlds is due to unprecedented degrees of decentralization, immersiveness connectedness made possible by Internet Things (IoT) metaverse. In this light, it brings important ethical, privacy, security considerations into play, hence calling for strong protection IoT-enabled metaverse systems. Anomaly detection critical solving aforementioned issues ensuring dependability connected devices identification preventing malicious activity in IoT networks. With networks being highly dynamic complex, robust anomaly frameworks are essential trust This paper proposed a hybrid model combining Random Forest (RF) Neural Network (NN) compared with variety machine learning (ML) techniques including Decision Tree (DT), Naive Bayes (NB), K-Nearest Neighbor (KNN), RF Logistic Regression (LR) detect anomalies environments. These models were trained tested using CIC-IDS 2017 Intrusion Dataset, comprehensive benchmark used evaluating intrusion systems (IDS). Indeed, outstanding accuracy equaling staggering 99.99%, algorithm performed better than other ML under study. illustrates its vast potential high-accuracy false positives.

Язык: Английский

Процитировано

0
A Theoretical Review and Case Analysis of Mihoyo's Immersive Strategies in The Metaverse Within Media Studies DOI
Xiaogang Liu

Highlights in Business Economics and Management, Год журнала: 2025, Номер 52, С. 7 - 14

Опубликована: Март 25, 2025

This essay examines the metaverse's impact on media industry and its performance in communication ecosystem. We also examine how virtual worlds immersive technology affect content generation, dissemination, consumption, audience involvement. Meanwhile, study talks about a lot of problems that need to be solved, such as come up because issues with AR VR technology, for changing laws, moral concerns data safety accessibility. These challenges include exploration potential new revenue streams economy, innovative storytelling formats, enhanced engagement. In order explain main advantages disadvantages adopting metaverse, combines case studies theoretical research analysis. Analysis shows metaverse has grown established is ready alter ecosystem by people connect somewhat infinite online or Because special convenience, collaboration between various businesses facilitated. Moreover, goods advertising are causing huge explosion. Ultimately, it calls modernization transformation economy's payment system better accommodate features. Which providing support organizations navigating through this fast expanding digital terrain.

Язык: Английский

Процитировано

0
Metaverse Security Monitoring Based on Virtual Environment Analysis Using Machine Learning Techniques DOI
Samuel J. Oliver,

A. Chinnasamy,

P Varun

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 337 - 362

Опубликована: Апрель 24, 2025

A NextG Internet platform allows users to participate in many kinds of virtual events and communicate with avatars a 3D environment perform activities this environment. Building an intrusion detection system is computationally challenging the Metaverse because its interactive nature as well large number user interactions that take place within settings. This research proposes novel techniques Metaverse-based security monitoring using machine learning techniques. Here, was carried out reinforcement-federated regressive Gaussian neural networks. The metaverse has been deployed, analysis cloud edge network software-defined infrastructure. Experimental terms scalability, quality service, latency, accuracy, integrity. proposed model attained scalability 94%, service 95%, accuracy 97%, latency 96%, integrity 93%.

Язык: Английский

Процитировано

0
Artificial Intelligence-Enabled Metaverse for Sustainable Smart Cities: Technologies, Applications, Challenges, and Future Directions DOI Open Access
Zita Lifelo, Jianguo Ding, Huansheng Ning

и другие.

Electronics, Год журнала: 2024, Номер 13(24), С. 4874 - 4874

Опубликована: Дек. 10, 2024

Rapid urbanisation has intensified the need for sustainable solutions to address challenges in urban infrastructure, climate change, and resource constraints. This study reveals that Artificial Intelligence (AI)-enabled metaverse offers transformative potential developing smart cities. AI techniques, such as machine learning, deep generative (GAI), large language models (LLMs), enhance metaverse’s capabilities data analysis, decision making, personalised user experiences. The further examines how these advanced facilitate key technologies big analytics, natural processing (NLP), computer vision, digital twins, Internet of Things (IoT), Edge AI, 5G/6G networks. Applications across various city domains—environment, mobility, energy, health, governance, economy, real-world use cases virtual cities like Singapore, Seoul, Lisbon are presented, demonstrating AI’s effectiveness However, AI-enabled presents related acquisition management, privacy, security, interoperability, scalability, ethical considerations. These challenges’ societal technological implications discussed, highlighting robust governance frameworks ethics guidelines. Future directions emphasise advancing model architectures algorithms, enhancing privacy security measures, promoting practices, addressing performance fostering stakeholder collaboration. By challenges, full can be harnessed sustainability, adaptability, livability

Язык: Английский

Процитировано

3
Stylized facts of metaverse non-fungible tokens DOI
Stephen Chan,

Durga Chandrashekhar,

Ward Almazloum

и другие.

Physica A Statistical Mechanics and its Applications, Год журнала: 2024, Номер unknown, С. 130103 - 130103

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

2