Online romance fraud is an increasingly common phenomenon, which can affect people of all ages worldwide. This type of fraud occurs when a malicious individual or members of a criminal organization engage with users online pretending to be romantically interested in...
Security
A new inference attack that could enable access to sensitive user data
As the use of machine learning (ML) algorithms continues to grow, computer scientists worldwide are constantly trying to identify and address ways in which these algorithms could be used maliciously or inappropriately. Due to their advanced data analysis capabilities,...
A new AI-based tool to detect DDoS attacks
Cybercriminals are coming up with increasingly savvy ways to disrupt online services, access sensitive data or crash internet user's devices. A cyber-attack that has become very common over the past decades is the so-called Distributed Denial of Service (DDoS) attack.
A three-stage authentication system for the metaverse
In recent years, many computer scientists have been exploring the notion of metaverse, an online space in which users can access different virtual environments and immersive experiences, using VR and AR headsets. While navigating the metaverse, users might also share...
An architecture that gives users full control of their smartphones
In recent years, many smartphone users have become concerned about the privacy of their data and the extent to which companies might have access to this data. As things stand today, the applications that users can run on their phone and what they can do with these...
The strengths and limitations of approaches to detect deepfake text
Advances in the field of machine learning have recently enabled the development of computational tools that can create convincing but artificially produced texts, also known as deepfake texts. While the automatic creation of texts could have some interesting...
The vulnerability of transformers-based malware detectors to adversarial attacks
Cyber attackers are coming up with increasingly sophisticated techniques to steal users' sensitive information, encrypt documents to receive a ransom, or damage computer systems. As a result, computer scientists have been trying to create more effective techniques to...
TypoSwype: An image recognition tool to detect typosquatting attacks
In recent decades, cyberattacks have become increasingly varied, introducing various strategies to lure users onto malicious websites or prompt them to share sensitive data. As a result, computer scientists are continuously trying to develop more advanced tools to...
Twin physically unclonable functions (PUFs) based on carbon nanotube arrays to enhance the security of communications
As the amount of data stored in devices and shared over the internet continuously increases, computer scientists worldwide are trying to devise new approaches to secure communications and protect sensitive information. Some of the most well-established and valuable...
A deep learning technique to generate DNS amplification attacks
Deep learning techniques have recently proved to be highly promising for detecting cybersecurity attacks and determining their nature. Concurrently, many cybercriminals have been devising new attacks aimed at interfering with the functioning of various deep learning...