Malware analysis in IoT & android systems with defensive mechanism
CS Yadav, J Singh, A Yadav, HS Pattanayak, R Kumar… - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) and the Android operating system have made cutting-edge
technology accessible to the general public. These are affordable, easy-to-use, and open …
technology accessible to the general public. These are affordable, easy-to-use, and open …
[HTML][HTML] Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey
Mobile devices have become an essential element in our day-to-day lives. The chances of
mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting …
mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting …
DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms
Android Malware detection became a hot topic over the last several years. Although
considerable studies have been conducted utilizing machine learning-based methods, little …
considerable studies have been conducted utilizing machine learning-based methods, little …
A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection
MA Hossain, MS Islam - Scientific Reports, 2023 - nature.com
In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex
security challenge. Existing detection systems are continually outmaneuvered by the …
security challenge. Existing detection systems are continually outmaneuvered by the …
Ensemble machine learning techniques for accurate and efficient detection of botnet attacks in connected computers
S Afrifa, V Varadarajan, P Appiahene, T Zhang… - Eng, 2023 - mdpi.com
The transmission of information, ideas, and thoughts requires communication, which is a
crucial component of human contact. The utilization of Internet of Things (IoT) devices is a …
crucial component of human contact. The utilization of Internet of Things (IoT) devices is a …
[PDF][PDF] Terrorism Attack Classification Using Machine Learning: The Effectiveness of Using Textual Features Extracted from GTD Dataset.
M Abdalsalam, C Li, A Dahou… - … -Computer Modeling in …, 2024 - cdn.techscience.cn
One of the biggest dangers to society today is terrorism, where attacks have become one of
the most significant risks to international peace and national security. Big data, information …
the most significant risks to international peace and national security. Big data, information …
Electro search optimization based long short‐term memory network for mobile malware detection
P Shanmugam, B Venkateswarulu… - Concurrency and …, 2022 - Wiley Online Library
Mobile malware is malicious software designed specifically for targeting various mobile
gadgets like tablets, smartphones, and so forth, in which any type of malicious code affecting …
gadgets like tablets, smartphones, and so forth, in which any type of malicious code affecting …
Obfuscated Malware Detection in IoT Android Applications Using Markov Images and CNN
The threat of malware in the Internet of Things (IoT) is ever-present given that many IoT
systems today rely on the Android operating system. There has been a consistent rise in …
systems today rely on the Android operating system. There has been a consistent rise in …
Malware classification approaches utilizing binary and text encoding of permissions
With the advancement of smartphone technology, the development of mobile applications is
rapidly growing. These apps are designed to help mobile users with a variety of everyday …
rapidly growing. These apps are designed to help mobile users with a variety of everyday …
A deep learning-enhanced botnet detection system based on Android manifest text mining
SY Yerima, YM To - … on Digital Forensics and Security (ISDFS), 2022 - ieeexplore.ieee.org
Android botnets remain a significant threat to mobile and IoT systems and networks as they
continue to infect millions of devices worldwide. Therefore, there is a need to develop more …
continue to infect millions of devices worldwide. Therefore, there is a need to develop more …