Detecting spams in social networks using ML algorithms-a review

NS Murugan, GU Devi - International Journal of …, 2018 - inderscienceonline.com
The social network, by the name which has popularised in today's world and growing rapidly
at all times and controlling over mankind. The social networks like Twitter, Facebook, and …

HybridORAM: Practical oblivious cloud storage with constant bandwidth

B Li, Y Huang, Z Liu, J Li, Z Tian, SM Yiu - Information Sciences, 2019 - Elsevier
Along with the popularity of outsourcing data to the cloud server, data privacy becomes a
central consideration. Because encryption alone has been proved insecure for the leakages …

Spam detection using rating and review processing method

R Ghai, S Kumar, AC Pandey - … : Proceedings of ICSICCS 2017, Volume 2, 2019 - Springer
In recent times, e-commerce sites have become an essential part of people lifestyle. Viewers
give feedback and firsthand account of the online products, and these reviews thus play an …

Artificial Intuition for Automated Decision-Making

M Trovati, K Teli, N Polatidis, UA Cullen… - Applied Artificial …, 2023 - Taylor & Francis
Automated decision-making techniques play a crucial role in data science, AI, and general
machine learning. However, such techniques need to balance accuracy with computational …

Abusing Public {Third-Party} Services for {EDoS} Attacks

H Wang, Z Xi, F Li, S Chen - 10th USENIX Workshop on Offensive …, 2016 - usenix.org
Cloud computing has been widely adopted nowadays as it provides economical, elastic and
scalable services to customers. The cloud resources are offered in an on demand manner …

Classification spam email with elimination of unsuitable features with hybrid of GA-naive Bayes

OME Ebadati, F Ahmadzadeh - Journal of Information & Knowledge …, 2019 - World Scientific
Email spam is a security problem that involves different techniques in machine learning to
solve this problem. The rise of this security issue makes organisation email service …

Performance evaluation of clustering-based classification algorithms for detection of online spam reviews

N Krishnaveni, V Radha - … and Cognitive Informatics: Proceedings of ICDICI …, 2021 - Springer
The social Web contains enormous content, in which a higher range of online users believes
the online reviews for their decision making before any online purchase or using services …

Feature dimensionality reduction via homological properties of observability

M Trovati, E Farsimadan - Evolving Systems, 2024 - Springer
Feature selection and its subsequent dimensionality reduction are significant problems in
machine learning and it is at the core of several data science techniques. The 'shape'of data …

Composite sequential modeling for identifying fake reviews

R Bhargava, A Baoni, Y Sharma - Journal of Intelligent Systems, 2019 - degruyter.com
This paper presents a comprehensive analysis and comparison of various proposed
sequential models based on different deep networks such as the convolutional neural …

[PDF][PDF] Survey of E-mail Classification: Review and Open Issues

EG Abdulkadhim, MA Hayder - Iraqi Journal for Computers and Informatics, 2020 - iasj.net
Email is an economical facet of communication, the importance of which is increasing in
spite of access to other approaches, such as electronic messaging, social networks, and …