… security software requires a lot of human efforts to identify threats in such networks. This
labor-intensive process can be more efficient by applying machine learning … the best coverage of …

… , practical and efficient framework to improve the security of … an essential part of mobile
security frameworks. The SML … coverage. In case of dynamic analysis, however, a malicious …

… frameworks to create a secure ecosystem of networks. … range of inside coverage. Due to the
sheer uncertainty of the … models to address a problem in the most efficient manner possible. …

… method enable the best possible code coverage for effective detection of Android malware?
… a dynamic analysis framework that uses machine learning to classify Android apps. MADAM …

… Deep learning-based secured advanced web application … developing a framework for the
transfer of information using the … detection, comprehensive security coverage, scalability, cost-…

… found that these frameworks lack domain coverage and have … using Dyna architecture and
reinforcement learning process. … efficient and secure applications: • Highly proficient hybrid …

… deep learning software could be executed efficiently on … Meanwhile, to enrich the malicious
behavior coverage of our … proposed for testing the deep learning frameworks. We leave …

… Therefore, it is import to uncover this security issue prior to its … of the machine learning
classifiers in establishing an effective … rich UI capabilities providing deep code coverage which can …

… applications. In serious cases, it will greatly affect the efficiency of mobile communication
and threaten the security … deploy and extend unpacking framework called deepaud (hereinafter …

… Deep Learning (DL) models as they provide efficient detection … techniques used for
cybersecurity in mobile networks. Some of … [145] propose a framework for network intrusion …