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Due to the amount of anonymity afforded to users of the Tor infrastructure, Tor has become a useful tool for malicious users. With Tor, the users are able to compromise the non-repudiation principle of computer security. Also, the potentially hackers may launch attacks such as DDoS or identity theft behind Tor. For this reason, there are needed new systems and models to detect the intrusion in Tor...
Forecasting visitor arrivals is of great importance since it is an indicator of the tourism demand and can serve as the reference for the government policies about tourism and the business strategies of tourism industries. So an accurate forecasting model must be developed. There are two machine learning algorithms, including support vector machine and neural network, which are include in the comparison...
With the rise of Internet technology and development of mobile application, more and more data and information are around us. However, it is not always easy to find the needed information that people want. Therefore, a good recommendation system is required for giving useful or interesting information. To provide useful information for user, a good classification of data is needed for recommendation...
Nowadays the security of computer devices is growing significantly. This is due to more and more devices areconnected to the network. For this reason, optimize the performance of systems able to detect intrusions (IDS) is a goalof common interest. The following work consists of use thegeneralizing power of neural networks to classify the attacks. In particular, we will use multilayer perceptron (MLP)...
Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with people. AmI environments can be diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, vehicles, tourist attractions, stores, sports facilities, and music devices. In this paper, we present the design and implementation...
Existing CAPTCHA methods are able to be read by computers owing to the development of technologies. We proposed a CAPTCHA method with amodal Completion in order to prevent computers from reading CAPTCHA. We also applied aftereffects and colors for the method to enhance visibility. However, our method was completely able to be read by computers with deep learning. However, we were able to discover...
With more companies turning towards cloud computing for storage and processing of their data, the security of the cloud becomes essential. However, cloud computing is vulnerable to many security threats, including data leakages, compromised credentials, presence of unauthorized users or entities, execution of insecure applications or programming interfaces and APIs, shared technology vulnerabilities,...
Recommender systems based on deep learning technology pay huge attention recently. In this paper, we propose a collaborative filtering based recommendation algorithm that utilizes the difference of similarities among users derived from different layers in stacked denoising autoencoders. Since different layers in a stacked autoencoder represent the relationships among items with rating at different...
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