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Domain-Checker: A Classification of Malicious and Benign Domains Using Multitier Filtering
The loopholes of Internet are exploited by cyber-attackers to forward spam, commit fiscal frauds, execute phishing, wallow in command-and-control,...
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A 3D prediction model for benign or malignant of pulmonary nodules based on neural architecture search
Lung cancer poses a huge threat to human life and health. Early diagnosis and early treatment are the most effective means to improve patient...
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Ensemble Classifiers for Classification of Imbalanced Dataset of Malicious and Benign Websites
Today, we have millions of websites on the internet and it is important for users to be able to distinguish between potentially hazardous websites...
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Android decompiler performance on benign and malicious apps: an empirical study
Decompilers are indispensable tools in Android malware analysis and app security auditing. Numerous academic works also employ an Android decompiler...
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Identification of Benign Tumor Masses Using Deep Learning Techniques Based on Semantic Segmentation
Ovarian tumors affect women of all ages and the main challenge for optimal therapeutic management is to determine whether there is a benign or...
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Noninvasive identification of Benign and malignant eyelid tumors using clinical images via deep learning system
Eyelid tumors accounts for 5–10% of skin tumors. It is important but difficult to identify malignant eyelid tumors from benign lesions in a...
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Automated deep learning approach for classification of malignant melanoma and benign skin lesions
Skin cancer becomes a significant health problem worldwide with an increasing incidence over the past decades. Due to the fine-grained differences in...
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Comparative Analysis of Various Machine Learning Algorithms for Detection of Malware and Benign
The expansion of the cyberspace world has paved the way for numerous attacks and misuses of online resources and networks. For instance, malware is...
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Generation of Adversarial Malware and Benign Examples Using Reinforcement Learning
Machine learning is becoming increasingly popular among antivirus developers as a key factor in defence against malware. While machine learning is...
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Classification of Breast Micro-calcifications as Benign or Malignant Using Subtraction of Temporally Sequential Digital Mammograms and Machine Learning
Cancer ranks as the second leading cause of mortality worldwide with breast cancer accounting for approximately 20% of all new cancer cases reported...
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Machine Learning and Network Traffic to Distinguish Between Malware and Benign Applications
Virus detection software is widely used for servers, systems, and devices that seek to maintain security and reliability. Although these programs...
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Three-Dimensional Fractional Operator for Benign Tumor Region Detection
Cancer has become one of the most serious threats to human society. The mortality rate is increasing day by day due to cancer. More than 100...
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MGBN: Convolutional neural networks for automated benign and malignant breast masses classification
Automated benign and malignant breast masses classification is a crucial yet challenging topic. Recently, many studies based on convolutional neural...
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Mayfly-Algorithm Selected Features for Classification of Breast Histology Images into Benign/Malignant Class
Incidence rate of Breast Cancer (BC) is rising globally and the early detection is important to cure the disease. The detection of BC consist...
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Context for API Calls in Malware vs Benign Programs
The current progress in computer technology is matched by the increase in the malware and cyber-attacks, resulting in a nearly constant battle...
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Delimitation of Benign and Malignant Masses in Breast Ultrasound by Clustering of Intuitionistic Fuzzy Superpixels Using DBSCAN Algorithm
In this study, we propose a scheme to delimit benign and malignant masses in breast ultrasound images. It consists of two stages: superpixels...
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AI in Healthcare: Malignant or Benign?
Despite a slightly tumultuous past, the popularity and growth of Artificial intelligence are observable in every nook and cranny. AI has engrained...
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Predicting Malignancy and Benign Thyroid Nodule Using Multi-Scale Feature Fusion and Deep Learning
AbstractNowadays, thyroid ultrasound examination faces some problems such as weak effective feature information, plentiful noise, and small samples....
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Classification of Benign-Malignant Pulmonary Nodules Based on Multi-view Improved Dense Network
Lung cancer is one of the most common cancers in the world, and the detection and classification of benign-malignant lung nodules are critical during...
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Benign Interaction of Security Domains
Whenever data is communicated outside a security domain there is the risk that it may influence data coming back in a way that is not permitted by...