A survey of android malware detection with deep neural models
Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber
security research. Deep learning models have many advantages over traditional Machine …
security research. Deep learning models have many advantages over traditional Machine …
Deep learning algorithms for cybersecurity applications: A technological and status review
P Dixit, S Silakari - Computer Science Review, 2021 - Elsevier
Cybersecurity mainly prevents the hardware, software, and data present in the system that
has an active internet connection from external attacks. Organizations mainly deploy …
has an active internet connection from external attacks. Organizations mainly deploy …
IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture
The volume, type, and sophistication of malware is increasing. Deep convolutional neural
networks (CNNs) have lately proven their effectiveness in malware binary detection through …
networks (CNNs) have lately proven their effectiveness in malware binary detection through …
A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU
The human population is growing at a very rapid scale. With this progressive growth, it is
extremely important to ensure that healthy food is available for the survival of the inhabitants …
extremely important to ensure that healthy food is available for the survival of the inhabitants …
A new malware classification framework based on deep learning algorithms
Recent technological developments in computer systems transfer human life from real to
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …
SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles
The current advancement in Unmanned Aerial Vehicles (UAVs) and the proliferation of the
Internet of Things (IoT) devices is revolutionizing conventional farming operations into …
Internet of Things (IoT) devices is revolutionizing conventional farming operations into …
A review of machine learning algorithms for cloud computing security
Cloud computing (CC) is on-demand accessibility of network resources, especially data
storage and processing power, without special and direct management by the users. CC …
storage and processing power, without special and direct management by the users. CC …
Image-based malware classification using VGG19 network and spatial convolutional attention
In recent years the amount of malware spreading through the internet and infecting
computers and other communication devices has tremendously increased. To date …
computers and other communication devices has tremendously increased. To date …
MCFT-CNN: Malware classification with fine-tune convolution neural networks using traditional and transfer learning in Internet of Things
S Kumar - Future Generation Computer Systems, 2021 - Elsevier
With ever-increasing, internet-connected devices provide an opportunity to fulfil the
attacker's malicious intention. They use malicious programs to compromise the devices and …
attacker's malicious intention. They use malicious programs to compromise the devices and …
Deep learning based cross architecture internet of things malware detection and classification
The number of publicly exposed Internet of Things (IoT) devices has been increasing, as
more number of these devices connected to the internet with default settings. The devices …
more number of these devices connected to the internet with default settings. The devices …