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Meta-SonifiedDroid: Metaheuristics for Optimizing Sonified Android Malware Detection
P Tarwireyi, A Terzoli, MO Adigun - IEEE Access, 2024 - ieeexplore.ieee.org
To mitigate the rising threat of Android malware, researchers have been actively looking for
mechanisms that will enable rapid and accurate malware detection. Recently, attention has …
mechanisms that will enable rapid and accurate malware detection. Recently, attention has …
[PDF][PDF] Penta-NLP at EXIST 2024 Task 1–3: sexism identification, source intention, sexism categorization in tweets
Social media platforms contains a vast user base and offers ease with which information can
be shared. This can adversely facilitate the spread of sexist content which is infeasible for …
be shared. This can adversely facilitate the spread of sexist content which is infeasible for …
FSSDroid: Feature subset selection for Android malware detection
Android malware has become an increasingly important threat to individuals, organizations,
and society, posing significant risks to data security, privacy, and infrastructure. As malware …
and society, posing significant risks to data security, privacy, and infrastructure. As malware …
Multi-class Malware Detection via Deep Graph Convolutional Networks Using TF-IDF-Based Attributed Call Graphs
The proliferation of malware in the Android ecosystem poses significant security risks and
financial losses for enterprises and developers. Malware constantly evolves, exhibiting …
financial losses for enterprises and developers. Malware constantly evolves, exhibiting …
Security detection algorithm using CNN: Anomaly detection for API call sequence
J Chang, L Shi, Z Li, X Zuo… - Journal of Computational …, 2025 - journals.sagepub.com
This study proposes a security detection algorithm based on convolutional neural networks
(CNNs) to enhance anomaly detection in API call sequences, addressing the challenges of …
(CNNs) to enhance anomaly detection in API call sequences, addressing the challenges of …
Classification of Android Malware from Binary Code Using Ensemble Method with Recursive Feature Elimination
N Tippayasem, K Piromsopa - 2024 21st International Joint …, 2024 - ieeexplore.ieee.org
In response to the burgeoning Android market and the concurrent proliferation of both
applications and malware, we propose a direct analysis approach to classify Android …
applications and malware, we propose a direct analysis approach to classify Android …
Feature-Driven Malware Detection using Cascade Machine Learning Models
Malware proliferation continues to jeopardize global data security and user privacy,
necessitating robust detection and classification mechanisms. In this research, we propose …
necessitating robust detection and classification mechanisms. In this research, we propose …
Using Artificial Intelligence in the Security of Cyber Physical Systems
The prominence of cyber security continues to increase on a daily basis. Following the cyber
attacks in recent years, governments have implemented a range of regulations. The …
attacks in recent years, governments have implemented a range of regulations. The …
Malware Detection for Android TV
G Ozogur, MA Erturk, MA AYDIN - Available at SSRN 4766983, 2024 - papers.ssrn.com
Security of Android applications is a well-studied area in the literature but it is very limited for
other types of devices like Android TVs. Android TVs are growing in popularity with …
other types of devices like Android TVs. Android TVs are growing in popularity with …