A systematic literature review on spam content detection and classification

S Kaddoura, G Chandrasekaran, DE Popescu… - PeerJ Computer …, 2022 - peerj.com
The presence of spam content in social media is tremendously increasing, and therefore the
detection of spam has become vital. The spam contents increase as people extensively use …

Identifying and mitigating phishing attack threats in IoT use cases using a threat modelling approach

SG Abbas, I Vaccari, F Hussain, S Zahid, UU Fayyaz… - Sensors, 2021 - mdpi.com
Internet of things (IoT) is a technology that enables our daily life objects to connect on the
Internet and to send and receive data for a meaningful purpose. In recent years, IoT has led …

Spam detection through feature selection using artificial neural network and sine–cosine algorithm

R Talaei Pashiri, Y Rostami, M Mahrami - Mathematical Sciences, 2020 - Springer
Detection of spam and non-spam emails is considered a great challenge for email service
providers and users alike. Spam emails waste the Internet traffic and also contain malicious …

Transfer learning-based forensic analysis and classification of e-mail content

F Iqbal, AR Javed, RH Jhaveri, A Almadhor… - ACM Transactions on …, 2023 - dl.acm.org
Email has been a dependable, secure, and official communication medium. People's
dependence on email has increased as people have gained confidence in its reliability and …

BigSet: An Efficient Set Intersection Approach

S Zhang, J Yang, W Zhang, S Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Set intersection is a fundamental operation in many applications, such as common neighbor
computation in graph-based algorithms, set similarity computation, item recommendation …

[PDF][PDF] Botnet attack detection in internet of things using optimization techniques

S Rethinavalli, R Gopinath - International Journal of Electrical …, 2020 - researchgate.net
The corporation is currently operating in a hyper-connected world in which scores of
heterogeneous devices are constantly sharing information in a variety of application …

Class‐index corpus‐index measure: A novel feature selection method for imbalanced text data

B Parlak - Concurrency and Computation: Practice and …, 2022 - Wiley Online Library
In the field of text classification, some of the datasets are unbalanced datasets. In these
datasets, feature selection stage is important to increase performance. There are many …

Detecting illegal online gambling (IOG) services in the mobile environment

M Min, JJ Lee, K Lee - Security and Communication Networks, 2022 - Wiley Online Library
Despite the extensive ramifications of illegal online gambling (IOG) services, actions taken
by government authorities have had little effect in halting these operations. In order to …

Spam email classification and sentiment analysis based on semantic similarity methods

U Srinivasarao, A Sharaff - International Journal of …, 2023 - inderscienceonline.com
Electronic mail has widely been used for communication purposes, and the spam filter is
required in the e-mail to save storage and protect from security issues. Various techniques …

Analyzing the past, improving the future: a multiscale opinion tracking model for optimizing business performance

S Sigari, A Gandomi - Humanities and Social Sciences …, 2022 - nature.com
The complexity of business decision-making has increased over the years. It is essential for
managers to gain a confident understanding of their business environments in order to make …