Security and privacy in metaverse: A comprehensive survey

Y Huang, YJ Li, Z Cai - Big Data Mining and Analytics, 2023 - ieeexplore.ieee.org
Metaverse describes a new shape of cyberspace and has become a hot-trending word since
2021. There are many explanations about what Meterverse is and attempts to provide a …

[PDF][PDF] The significance of machine learning and deep learning techniques in cybersecurity: A comprehensive review

MM Mijwil, IE Salem, MM Ismaeel - Iraqi Journal For Computer Science and …, 2023 - iasj.net
People in the modern era spend most of their lives in virtual environments that offer a range
of public and private services and social platforms. Therefore, these environments need to …

Extending the technology acceptance model (TAM) to Predict University Students' intentions to use metaverse-based learning platforms

AS Al-Adwan, N Li, A Al-Adwan, GA Abbasi… - Education and …, 2023 - Springer
Metaverse, which combines a number of information technologies, is the Internet of the
future. A media for immersive learning, metaverse could set future educational trends and …

Trustworthy llms: a survey and guideline for evaluating large language models' alignment

Y Liu, Y Yao, JF Ton, X Zhang, R Guo, H Cheng… - arxiv preprint arxiv …, 2023 - arxiv.org
Ensuring alignment, which refers to making models behave in accordance with human
intentions [1, 2], has become a critical task before deploying large language models (LLMs) …

Foundational challenges in assuring alignment and safety of large language models

U Anwar, A Saparov, J Rando, D Paleka… - arxiv preprint arxiv …, 2024 - arxiv.org
This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories …

[PDF][PDF] Large language models can be used to effectively scale spear phishing campaigns

J Hazell - arxiv preprint arxiv:2305.06972, 2023 - newsletter.radensa.ru
Recent progress in artificial intelligence (AI), particularly in the domain of large language
models (LLMs), has resulted in powerful and versatile dual-use systems. Indeed, cognition …

Metaverse: Security and privacy issues

R Di Pietro, S Cresci - … conference on trust, privacy and security …, 2021 - ieeexplore.ieee.org
The metaverse promises a host of bright opportunities for business, economics, and society.
Though, a number of critical aspects are still to be considered and the analysis of their …

[HTML][HTML] Behavioral analysis of cybercrime: Paving the way for effective policing strategies

G Sarkar, SK Shukla - Journal of Economic Criminology, 2023 - Elsevier
This comprehensive survey paper offers a panoramic exploration of the dynamic realm of
cybercrime policing, encompassing a wide spectrum of intricacies from cybercrime …

A review on social spam detection: Challenges, open issues, and future directions

S Rao, AK Verma, T Bhatia - Expert Systems with Applications, 2021 - Elsevier
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …

Deepfakes: Current and future trends

ÁF Gambín, A Yazidi, A Vasilakos, H Haugerud… - Artificial Intelligence …, 2024 - Springer
Abstract Advances in Deep Learning (DL), Big Data and image processing have facilitated
online disinformation spreading through Deepfakes. This entails severe threats including …