Performance comparison and current challenges of using machine learning techniques in cybersecurity
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …
world is becoming more and more dependent on the internet for everyday living. The …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
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
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 …
A comparative study of spam SMS detection using machine learning classifiers
M Gupta, A Bakliwal, S Agarwal… - 2018 eleventh …, 2018 - ieeexplore.ieee.org
With technological advancements and increment in content based advertisement, the use of
Short Message Service (SMS) on phones has increased to such a significant level that …
Short Message Service (SMS) on phones has increased to such a significant level that …
Bert against social engineering attack: Phishing text detection
Social engineering attack uses a wide range of human interaction tricks with the goal of
achieving sensitive information. Certain tricks involve sending malicious SMS to the victim …
achieving sensitive information. Certain tricks involve sending malicious SMS to the victim …
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 …
Semi-supervised learning using frequent itemset and ensemble learning for SMS classification
Abstract Short Message Service (SMS) has become one of the most important media of
communications due to the rapid increase of mobile users and it's easy to use operating …
communications due to the rapid increase of mobile users and it's easy to use operating …
[PDF][PDF] Support vector machine algorithm for SMS spam classification in the telecommunication industry
NNA Sjarif, Y Yahya, S Chuprat… - Int. J. Adv. Sci. Eng. Inf …, 2020 - pdfs.semanticscholar.org
In recent years, we have withnessed a dramatic increment volume in the number of mobile
users grows in telecommunication industry. However, this leads to drastic increase to the …
users grows in telecommunication industry. However, this leads to drastic increase to the …
Spam detection in short message service using natural language processing and machine learning techniques
A Ora - 2020 - norma.ncirl.ie
As the usage of mobile phones increased, the use of Short Message Service increased
significantly. Due to the lower costs of text messages, people started using it for promotional …
significantly. Due to the lower costs of text messages, people started using it for promotional …