Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Nowadays, people use smartphones and tablets with the very same purposes as desktop computers: b browsing, social networking and home-banking, just to name a few. Hover,  are often facing the problem of keeping our information protected and trustworthy. As a result of their popularity and functionality, mobile devices are a growing target for malicious activities. In such context, mobile malwares have gained significant ground since the emergence and growth of smartphones and handheld devices, becoming a real threat. ,  introduced a recently developed pattern recognition technique called Optimum-Path Forest in the context of malware detection, as ll  present "DroidWare", a new public dataset to foster the research on mobile malware detection. In addition,  also proposed to use Restricted Boltzmann Machines for unsupervised feature learning in the context of malware identification.
['Kelton Augusto Pontara da Costa', 'Luis. A. da Silva', 'Guilherme B. Martins', 'Gustavo H. Rosa', 'Clayton R. Pereira', 'João Paulo Papa']
I am writing a research paper on a idea Malware Detection in Android-Based Mobile Environments Using Optimum-Path Forest
[{"from": "human", "value": "I am writing a research paper on a idea Malware Detection in Android-Based Mobile Environments Using Optimum-Path Forest"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Nowadays, people use smartphones and tablets with the very same purposes as desktop computers: b browsing, social networking and home-banking, just to name a few. Hover,  are often facing the problem of keeping our information protected and trustworthy. As a result of their popularity and functionality, mobile devices are a growing target for malicious activities. In such context, mobile malwares have gained significant ground since the emergence and growth of smartphones and handheld devices, becoming a real threat. ,  introduced a recently developed pattern recognition technique called Optimum-Path Forest in the context of malware detection, as ll  present \"DroidWare\", a new public dataset to foster the research on mobile malware detection. In addition,  also proposed to use Restricted Boltzmann Machines for unsupervised feature learning in the context of malware identification."}]