The survey and meta-analysis of the attacks, transgressions, countermeasures and security aspects common to the Cloud, Edge and IoT
Cloud computing, edge computing, and Internet-of-Things-these new Internet concepts have
already irreversibly changed and influenced people's lives. The security of the three patterns …
already irreversibly changed and influenced people's lives. The security of the three patterns …
SoK: applications and challenges of using recommender systems in cybersecurity incident handling and response
M Husák, M Čermák - Proceedings of the 17th International Conference …, 2022 - dl.acm.org
Incident handling, a fundamental activity of a cybersecurity incident response team, is a
complex discipline that consumes a significant amount of personnel's time and costs. There …
complex discipline that consumes a significant amount of personnel's time and costs. There …
CoBERT: A Contextual BERT model for recommending employability profiles of information technology students in unstable developing countries
Unemployment constitutes one of the major problems in developing countries, with factors
such as unavailable skills and the proliferation of unskilled workers being cited as main …
such as unavailable skills and the proliferation of unskilled workers being cited as main …
High-Performance Artificial Intelligence Recommendation of Quality Research Papers Using Effective Collaborative Approach
VK Venkatesan, MT Ramakrishna, A Batyuk, A Barna… - Systems, 2023 - mdpi.com
The Artificial Intelligence Recommender System has emerged as a significant research
interest. It aims at helping users find things online by offering recommendations that closely …
interest. It aims at helping users find things online by offering recommendations that closely …
Deep learning and embedding based latent factor model for collaborative recommender systems
A collaborative recommender system based on a latent factor model has achieved
significant success in the field of personalized recommender systems. However, the latent …
significant success in the field of personalized recommender systems. However, the latent …
[HTML][HTML] Automation Bias and Complacency in Security Operation Centers
J Tilbury, S Flowerday - Computers, 2024 - mdpi.com
The volume and complexity of alerts that security operation center (SOC) analysts must
manage necessitate automation. Increased automation in SOCs amplifies the risk of …
manage necessitate automation. Increased automation in SOCs amplifies the risk of …
Recommender systems in cybersecurity
L Ferreira, DC Silva, MU Itzazelaia - Knowledge and Information Systems, 2023 - Springer
With the growth of CyberTerrorism, enterprises worldwide have been struggling to stop
intruders from obtaining private data. Despite the efforts made by Cybersecurity experts, the …
intruders from obtaining private data. Despite the efforts made by Cybersecurity experts, the …
Development of an influencer-brand congruence and complementarity measurement framework for recommender systems
P Weinlich, T Semerádová - Cogent Business & Management, 2024 - Taylor & Francis
Currently, there is a growing interest in identifying the prerequisites of a successful
influencer brand collaboration and for brands to determine the most appropriate matches …
influencer brand collaboration and for brands to determine the most appropriate matches …
An automated compliance framework for critical infrastructure security through Artificial Intelligence
SM Ali, A Razzaque, M Yousaf, RU Shan - IEEE Access, 2024 - ieeexplore.ieee.org
Current data on cybercrime shows a rising influence of online threats, leading to significant
financial impacts across vital industries like finance, healthcare, and energy. These impacts …
financial impacts across vital industries like finance, healthcare, and energy. These impacts …
Accuracy-enhanced E-commerce recommendation based on deep learning and locality-sensitive hashing
D Li, JA Esquivel - Wireless Networks, 2024 - Springer
Recommender systems facilitate the discovery of relevant content in several online
communities by analyzing users' past interactions and preferences. With the expansion of …
communities by analyzing users' past interactions and preferences. With the expansion of …