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Hybrid cloud is an emerging cloud deployment model that integrates public and private clouds. The key technology in building a hybrid cloud environment is the method of integration of different types of clouds. However, research on cloud integration technology and related solutions is lacking. Therefore, the adoption of hybrid cloud environment has been delayed. In this paper, we propose a hybrid...
As one of the most common and aggressive means, denial-of-service (DoS) attacks cause serious impact on computing systems and networks. This paper presents a system for detecting denial of service (DoS) attacks in a network using a combination of the dendritic cell algorithm (DCA) and the negative selection algorithm (NSA). The proposed system classifies incoming network traffic into either of two...
Cloud Computing has emerged as a popular technology that support computing on demand services by allowing users to follow the pay-per-use-on-demand model. Minimizing energy consumption in cloud systems has many benefits that enable green computing. Energy aware task scheduling in cloud to the users by service cloud providers has non negligible influences on optimal resources utilization and thereby...
This paper evaluates a mechanism for applying machine learning (ML) to identify over-constrained IaaS virtual machines (VMs). Herein, over-constrained VMs are defined as those who are not given sufficient system resources to meet their workload specific objective functions. To validate our approach, a variety of workload-specific benchmarks inspired by common Infrastructure-as-a-Service (IaaS) cloud...
Information quality in social media is an increasingly important issue, but web-scale data hinders experts' ability to assess and correct much of the inaccurate content, or "fake news," present in these platforms. This paper develops a method for automating fake news detection on Twitter by learning to predict accuracy assessments in two credibility-focused Twitter datasets: CREDBANK, a...
Reliable and scalable storage systems are key to cloud-based applications. In cloud storage, users store their data on remote servers rather than their local computers. Secure storage is used to ensure the safety of data in clouds. As more and more users rely on third-party cloud vendors to store their data, concerns have arisen among users and cloud providers. Encryption-based approaches are commonly...
In this paper, we review big data characteristics and security challenges in the cloud and visit different cloud domains and security regulations. We propose using integrated auditing for secure data storage and transaction logs, real-time compliance and security monitoring, regulatory compliance, data environment, identity and access management, infrastructure auditing, availability, privacy, legality,...
Mobile devices like smartphones and tablets hold private and critical data of users. Mobile apps often require access to data on mobile devices, thus data privacy becomes an issue. Most time, mobile systems grant apps with excessive permission to data such as images and location. It allows apps to collect data more than they need without notifying the user again. This study focuses on a new approach...
The unprecedented urbanization and the staggering development of modern information and communication technologies (ICT) demonstrate that the concept of Smart City is attractive and achievable. Beyond the scope of traditional city services and applications, Smart Cities provide urban planners and policy makers proactive and timely information to obtain a dynamic and comprehensive understanding about...
Cloud computing is increasingly becoming a significant solution for providing scalable computing resources via Internet [1]. However, as the increasing of data size in cloud computing applications and precision requirement in some special scenarios, bandwidth and precision are highly valued in floating-point associated applications, optimizing existing floating-point arithmetic is a significant way...
Dynamic spectrum access is considered to be an emerging technology for enhancing RF spectrum efficiency where secondary unlicensed users access primacy licensed RF bands in an opportunistic manner for wireless communications. In dynamic spectrum access, RF spectrum geolocation database-driven approach has relieved the wireless devices from uncertainties caused by spectrum sensing at low signal levels...
Image fusion aims at integrating complementary or ambiguous information of different images. In order to bridge the semantic gap during the image fusion, a hierarchical semantic labeling model of images is proposed and an image fusion algorithm based on semantic labeling and fuzzy clustering is presented. Images are segmented into regions which are classified into different types using low-level features...
Cloud computing is the universal area where the data owners will outsource their relevant data to the untrusted public cloud, which allows the data users to retrieve the data with full integrity. To provide data privacy and integrity, most of the research works were focused under single data owner for secure searching of encrypted data over the cloud. Provided, various cloud service providers in day...
There are billions of devices in smart grid nowadays. For every data source, it produces thousands of data records every day. Classical relational databases are malfunctioned when dealing with these large-scale data sets. Powerful big data platform is needed to process the information in private clouds of smart grid. HBase is a promising platform to solve these problems. However, finding an effective...
Among the various carcinoma occurrences, breast cancer remains the most female malignancy in the world. The existence of MicroCalcifications (MCs) is a primary sign of breast cancer and their diagnosis process is still a complex problem. Nowadays, digital mammography technique is used as the most common and effective tool in screening mammography. In this study, an automated MCs classification system...
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