Mobile phishing attacks and defence mechanisms: State of art and open research challenges
Phishing is an online identity theft in which an attacker tries to steal user's personal
information, resulting in financial loss of individuals as well as organisations. Nowadays …
information, resulting in financial loss of individuals as well as organisations. Nowadays …
An investigation on cyber security threats and security models
Cyber security has been used interchangeably for information security, where later
considers the role of the human in the security process while former consider this as an …
considers the role of the human in the security process while former consider this as an …
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 …
[PDF][PDF] Data analytics for the identification of fake reviews using supervised learning
Fake reviews, also known as deceptive opinions, are used to mislead people and have
gained more importance recently. This is due to the rapid increase in online marketing …
gained more importance recently. This is due to the rapid increase in online marketing …
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 …
Dendroid: A text mining approach to analyzing and classifying code structures in android malware families
The rapid proliferation of smartphones over the last few years has come hand in hand with
and impressive growth in the number and sophistication of malicious apps targetting …
and impressive growth in the number and sophistication of malicious apps targetting …
SMS spam message detection using term frequency-inverse document frequency and random forest algorithm
The daily traffic of Short Message Service (SMS) keeps increasing. As a result, it leads to
dramatic increase in mobile attacks such as spammers who plague the service with spam …
dramatic increase in mobile attacks such as spammers who plague the service with spam …
Droidscribe: Classifying android malware based on runtime behavior
SK Dash, G Suarez-Tangil, S Khan… - 2016 IEEE Security …, 2016 - ieeexplore.ieee.org
The Android ecosystem has witnessed a surge in malware, which not only puts mobile
devices at risk but also increases the burden on malware analysts assessing and …
devices at risk but also increases the burden on malware analysts assessing and …
Spotspam: Intention analysis–driven sms spam detection using bert embeddings
C Oswald, SE Simon, A Bhattacharya - ACM Transactions on the Web …, 2022 - dl.acm.org
Short Message Service (SMS) is one of the widely used mobile applications for global
communication for personal and business purposes. Its widespread use for customer …
communication for personal and business purposes. Its widespread use for customer …
Dsmishsms-a system to detect smishing sms
With the origin of smart homes, smart cities, and smart everything, smart phones came up as
an area of magnificent growth and development. These devices became a part of daily …
an area of magnificent growth and development. These devices became a part of daily …