Results 51 to 60 of about 2,863,518 (175)

SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection [PDF]

In this study, we introduce SpamDam, a SMS spam detection framework designed to overcome key challenges in detecting and understanding SMS spam, such as the lack of public SMS spam datasets, increasing privacy concerns of collecting SMS data, and the ...
Zhang, Rufan, Li, Yekai, Mi, Xianghang, Rong, Wenxin   +3 more
core   +1 more source

AI‐Driven SMS Intelligence Framework for Detecting Fraud, Disinformation, and Threat Patterns in Pakistan’s Communication Networks

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Fraudulent SMS messages are a significant threat in Pakistan, impacting financial security, identity theft, and misinformation and enabling exploitation by adversaries. This study proposes a localized AI‐based framework for SMS fraud detection, utilizing machine learning (logistic regression [LR], random forest [RF], support vector machine [SVM ...
Maryam Zaman, Mohib Ullah, Rafiullah Khan, Irfan Ullah Khan, Nida Aslam, May Issa Aldossary, Muhammad Inam Ul Haq, Iqtidar Ali, Pramita Mishra   +8 more
wiley   +1 more source

Short Message Spam Classification using Decision Tree, Naive Bayes, and Logistic Regression

CoreID Journal
The increasing use of Short Message Service (SMS) in digital communication has been accompanied by a rise in spam messages, which threaten user convenience and information security.
Citra Aulia, Azalia Fathimah Dinah, Dzilan Nazira Zahratunnisa, Rofik Efendi   +3 more
doaj   +1 more source

SpamLLM: Leveraging Large Language Models for Robust Spam Email Classification

International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
Spam email detection remains an ongoing challenge due to the increasing sophistication and evolving tactics employed by spammers. Traditional rule–based and machine learning (ML) detection methods have demonstrated limitations in adaptability and generalization.
Zhiyong He, Chang Liu, Boyang Hu, Duo Jia, Richard Murray   +4 more
wiley   +1 more source

Large Language Models for Security Operations Centers: A Comprehensive Survey

Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
Security operations centers (SOCs) face escalating challenges from alert fatigue and a critical skills gap, leading to delayed incident response times. Addressing these persistent issues calls for innovative automation and decision‐support approaches.
Ali Habibzadeh, Farid Feyzi, Reza Ebrahimi Atani, Kusum Verma   +3 more
wiley   +1 more source

Analysis of Robustness and Interpretability of Multinomial Naïve Bayes and Tiny Text CNN Models for SMS Spam Detection Under Adversarial Attacks

Information
The growing complexity of unwanted messages, especially SMS spam, presents a serious challenge to the security of digital communication and user experience.
Murad A. Rassam, Redhwan Shaddad
doaj   +1 more source

A Review of Automatic Identification System Approaches for Maritime Cyber Security

Security and Communication Networks, Volume 2026, Issue 1, 2026.
The Automatic Identification System (AIS) has become a cornerstone of modern maritime navigation, traffic management, and situational awareness, enabling continuous exchange of vessel identity, position, speed, and voyage‐related information across global maritime networks. While AIS significantly enhances navigational safety and operational efficiency,
S. M. Ashfaq Uz Zaman, Faizan Qamar, Masnizah Mohd, Nur Hanis Sabrina Suhaimi, Amith Khandakar, Nadeem Sarwar   +5 more
wiley   +1 more source

KLASIFIKASI SMS SPAM MENGGUNAKAN SUPPORT VECTOR MACHINE

Pilar Nusa Mandiri, 2019
It is now common for a cellphone to receive spam messages. Great number of received messages making it difficult for human to classify those messages to Spam or no Spam.
Agus Setiyono, Hilman F Pardede
doaj   +1 more source

Membrane‐forming phospholipids allosterically modulate native‐state prolyl isomerization in a CNG channel

Protein Science, Volume 34, Issue 12, December 2025.
Abstract Ion channel activity is intricately linked to the surrounding lipid environment, yet the molecular effects of lipid‐mediated regulation remain largely understudied. Here, we show that membrane‐forming phospholipids, which are known to modulate the activity of the cyclic nucleotide‐gated channel SthK from Spirochaeta thermophila, exhibit ...
Ashley J. Newton, Robert D. Latvala, Adefoluke E. Kuforiji, Philipp A. M. Schmidpeter   +3 more
wiley   +1 more source

Graph-based learning model for detection of SMS spam on smart phones [PDF]

2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC), 2012
Short Message Service (SMS) has been increasingly exploited through spam propagation schemes in recent years. This paper presents a new method for graph-based learning and classification of spam SMS on mobile devices and smart phones. Our approach is based on modeling the content and patterns of SMS syntax into a direct ed-weighted graph through ...
M. Zubair Rafique, Muhammad Abulaish
openaire   +3 more sources