Data theft through web applications that emulate legitimate platforms constitutes a major
network security issue. Countermeasures using artificial intelligence (AI)-based systems are …

Android phones are widely recognised as the most popular mobile phone operating system.
Additionally, tasks like browsing the internet, taking pictures, making calls, and sending …

The prevalence of malicious Android applications targeting the platform has introduced
significant challenges in the realm of security testing. Traditional solutions have proven …

Android malware recognition is the procedure of mitigating and identifying malicious
software (malware) planned to target Android operating systems (OS) that are extremely …

Malware is a significant threat to the field of cyber security. There is a wide variety of
malware, which can be programmed to threaten computer security by exploiting various …

Securing Android apps presents a formidable challenge due to the incessant threat of
malicious applications. Traditional solutions have grown less effective in the face of the vast …

Dynamic malware detection refers to detecting mal-ware by inferring the run-time trace of
malware, ie, a sequence of API calls. In this paper, we proposed HeteroNet, a novel dynamic …

Data security assurance is crucial due to the increasing prevalence of cloud computing and
its widespread use across different industries, especially in light of the growing number of …

Android-based devices are currently a prime target for cyber-attackers. New malware is
being developed and released, with devastating effects on sensitive information lost and …

Detecting and preventing malware infections in systems is become a critical necessity. This
paper presents a hybrid method for malware detection, utilizing data mining algorithms such …