Android ransomware detection based on a hybrid evolutionary approach in the context of highly imbalanced data
In recent years, Ransomware has been a critical threat that attacks smartphones.
Ransomware is a kind of malware that blocks the mobile's system and prevents the user of …
Ransomware is a kind of malware that blocks the mobile's system and prevents the user of …
Detecting ransomware attacks using intelligent algorithms: Recent development and next direction from deep learning and big data perspectives
Recently, cybercriminals have infiltrated different sectors of the human venture to launch
ransomware attacks against information technology infrastructure. They demand ransom …
ransomware attacks against information technology infrastructure. They demand ransom …
A hybrid deep learning approach for bottleneck detection in IoT
Cloud computing is perhaps the most enticing innovation in the present figuring situation. It
gives an expense-effective arrangement by diminishing the enormous forthright expense of …
gives an expense-effective arrangement by diminishing the enormous forthright expense of …
Android ransomware detection from traffic analysis using metaheuristic feature selection
Among the prevalent cyberattacks on Android devices, a ransomware attack is the most
common and damaging. Although there are many solutions for detecting Android …
common and damaging. Although there are many solutions for detecting Android …
[PDF][PDF] Enhanced android malware detection and family classification, using conversation-level network traffic features.
Signature-based malware detection algorithms are facing challenges to cope with the
massive number of threats in the Android environment. In this paper, conversation-level …
massive number of threats in the Android environment. In this paper, conversation-level …
Behavioral based detection of android ransomware using machine learning techniques
After the pandemic, the whole world is transforming digital, due to the increased usage of
handheld devices like smartphones and due to the evolution of the internet. All the …
handheld devices like smartphones and due to the evolution of the internet. All the …
Android ransomware detection using supervised machine learning techniques based on traffic analysis
A Albin Ahmed, A Shaahid, F Alnasser, S Alfaddagh… - Sensors, 2023 - mdpi.com
In today's digitalized era, the usage of Android devices is being extensively witnessed in
various sectors. Cybercriminals inevitably adapt to new security technologies and utilize …
various sectors. Cybercriminals inevitably adapt to new security technologies and utilize …
A static feature selection-based android malware detection using machine learning techniques
With an increase in popularity and usage of smartphones, attackers are constantly trying to
get sensitive information from smartphones. To protect the information, researchers are …
get sensitive information from smartphones. To protect the information, researchers are …
A hybrid DL-based detection mechanism for cyber threats in secure networks
The astonishing growth of sophisticated ever-evolving cyber threats and attacks throws the
entire Internet-of-Things (IoT) infrastructure into chaos. As the IoT belongs to the …
entire Internet-of-Things (IoT) infrastructure into chaos. As the IoT belongs to the …
Deep learning based malware detection for android systems: A Comparative Analysis
Sažetak Nowadays, cyber attackers focus on Android, which is the most popular open-
source operating system, as main target by applying some malicious software (malware) to …
source operating system, as main target by applying some malicious software (malware) to …