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 …

[HTML][HTML] Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey

F Nawshin, R Gad, D Unal, AK Al-Ali… - Computers and Electrical …, 2024 - Elsevier
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 …

DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms

H Bakır, R Bakır - Computers and Electrical Engineering, 2023 - Elsevier
Android Malware detection became a hot topic over the last several years. Although
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 …

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 …

[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 …

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 …

Obfuscated Malware Detection in IoT Android Applications Using Markov Images and CNN

KA Dhanya, P Vinod, SY Yerima, A Bashar… - IEEE Systems …, 2023 - ieeexplore.ieee.org
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 …

Malware classification approaches utilizing binary and text encoding of permissions

M Zyout, R Shatnawi, H Najadat - International Journal of Information …, 2023 - Springer
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 …

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 …