Artificial intelligence-based malware detection, analysis, and mitigation

A Djenna, A Bouridane, S Rubab, IM Marou - Symmetry, 2023 - mdpi.com
Malware, a lethal weapon of cyber attackers, is becoming increasingly sophisticated, with
rapid deployment and self-propagation. In addition, modern malware is one of the most …

Sentiment analysis of Amazon smartphone reviews using machine learning & deep learning

N Sharm, T Jain, SS Narayan… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The past few years have been marked by quite a few developments in e-commerce and
online shopping with the biggest of them being in the smartphone segment. India is now the …

[PDF][PDF] Federated learning for scam classification in small Indonesian language dataset: an initial study

M Chen, DK Halim - Indonesian Journal of Electrical Engineering and …, 2023 - academia.edu
Most digital phishing or scam trick users into fraudulent links and is more effective against
users with low technology literacy, like in Indonesia. Machine learning is widely used for …

Feature selection-based spam detection system in SMS and email domain

SA Chaturvedi, L Purohit - … Analysis and Deep Learning: Proceedings of …, 2023 - Springer
Spam exists in several domains including SMS and Emails which are usually targeted by
spammers to steal personal information, money, data, etc. There are several models exist for …

Analyzing of political tweets in hindi language using machine learning and deep learning

T Jain, S Mathur, A Ninnad, B Nikshep… - … Conference on Data …, 2022 - ieeexplore.ieee.org
Sentiment Analysis is a natural language processing task where we identify and categorize
opinions based on piece of text. It is the mostly used when determining the sentiment of a …

Spam Detection in Short Message Service (SMS) Using Naïve Bayes, SVM, LSTM, and CNN

E Wijaya, G Noveliora, KD Utami… - 2023 10th …, 2023 - ieeexplore.ieee.org
Short Message Services (SMS) has been most people's habits. The numbers of SMS usage
have been growing rapidly since text messages are more effective than emails. However …

Application of AI-based Models for Online Fraud Detection and Analysis

A Papasavva, S Johnson, E Lowther… - arXiv preprint arXiv …, 2024 - arxiv.org
Fraud is a prevalent offence that extends beyond financial loss, causing psychological and
physical harm to victims. The advancements in online communication technologies alowed …

Detection of Multilingual Spam SMS Using NaïveBayes Classifier

K Aparna, S Halder - 2023 IEEE 5th International Conference …, 2023 - ieeexplore.ieee.org
The exponential growth of mobile communication has led to an increase in the volume of
spam SMS messages, posing a significant challenge to users. This research paper focuses …

XAI-based Feature Selection for SMS Spam Classification in Dravidian Languages

KG Thirumalai, KS Prakash, AM Abirami… - … on Innovative Trends …, 2024 - ieeexplore.ieee.org
With the exponential growth of mobile communication, the prevalence of SMS spam has
become a significant concern, necessitating robust filtering mechanisms. This research …

[PDF][PDF] An intelligent auto-response short message service categorization model using semantic index

B Padmaja, MM Bala, EKR Patro… - International Journal of …, 2024 - academia.edu
Short message service (SMS) is one of the quickest and easiest ways used for
communication, used by businesses, government organizations, and banks to send short …