A review on mobile SMS spam filtering techniques
Under short messaging service (SMS) spam is understood the unsolicited or undesired
messages received on mobile phones. These SMS spams constitute a veritable nuisance to …
messages received on mobile phones. These SMS spams constitute a veritable nuisance to …
A review of soft techniques for SMS spam classification: Methods, approaches and applications
O Abayomi-Alli, S Misra, A Abayomi-Alli… - … Applications of Artificial …, 2019 - Elsevier
Background: The easy accessibility and simplicity of Short Message Services (SMS) have
made it attractive to malicious users thereby incurring unnecessary costing on the mobile …
made it attractive to malicious users thereby incurring unnecessary costing on the mobile …
Deep learning to filter SMS Spam
The popularity of short message service (SMS) has been growing over the last decade. For
businesses, these text messages are more effective than even emails. This is because while …
businesses, these text messages are more effective than even emails. This is because while …
On the use of artificial malicious patterns for android malware detection
Malware programs currently represent the most serious threat to computer information
systems. Despite the performed efforts of researchers in this field, detection tools still have …
systems. Despite the performed efforts of researchers in this field, detection tools still have …
A fog-augmented machine learning based SMS spam detection and classification system
Smart cities and societies are driving unprecedented technological and socioeconomic
growth in everyday life albeit making us increasingly vulnerable to infinitely and …
growth in everyday life albeit making us increasingly vulnerable to infinitely and …
Evolutionary algorithms for classification of malware families through different network behaviors
MZ Rafique, P Chen, C Huygens… - Proceedings of the 2014 …, 2014 - dl.acm.org
The staggering increase of malware families and their diversity poses a significant threat
and creates a compelling need for automatic classification techniques. In this paper, we first …
and creates a compelling need for automatic classification techniques. In this paper, we first …
Detection of phishing websites using a novel twofold ensemble model
K Nagaraj, B Bhattacharjee, A Sridhar… - Journal of Systems and …, 2018 - emerald.com
Purpose Phishing is one of the major threats affecting businesses worldwide in current
times. Organizations and customers face the hazards arising out of phishing attacks …
times. Organizations and customers face the hazards arising out of phishing attacks …
[PDF][PDF] An analysis of various algorithms for text spam classification and clustering using RapidMiner and Weka
This paper reported and summarized findings of spam management for Short Message
Service (SMS) which consists of classification and clustering of spam using two different …
Service (SMS) which consists of classification and clustering of spam using two different …
An efficient incremental learning mechanism for tracking concept drift in spam filtering
JJ Sheu, KT Chu, NF Li, CC Lee - PloS one, 2017 - journals.plos.org
This research manages in-depth analysis on the knowledge about spams and expects to
propose an efficient spam filtering method with the ability of adapting to the dynamic …
propose an efficient spam filtering method with the ability of adapting to the dynamic …
Real-time signature-based detection approach for SMS botnet
AJ Alzahrani, AA Ghorbani - 2015 13th Annual Conference on …, 2015 - ieeexplore.ieee.org
As an open platform for mobile electronic devices, Android is experiencing a steady growth
in the number of published applications (apps). Features of the Android platform have …
in the number of published applications (apps). Features of the Android platform have …