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Proactive caching is a novel smart communication resource management method that can offer intelligent and economic networking services in the next generation cellular networks. In proactive caching, a common operation is using k-means ...

While decision-making task is critical in knowledge transfer, particularly from multi-source domains, existing knowledge transfer approaches are not generally designed to be privacy preserving. This has potential legal and financial ...

• We propose a privacy-preserving multi-party knowledge transfer for financial market forecasting.

• A coarse to refined network (C2RNet) is proposed for image forgery detection.
• C2RNet is a progressive process deep neural network.
• We replace the patch-level CNN with image-level CNN for time efficiency.
• The proposed method ...

This paper proposes a splicing forgery detection method with two parts: a coarse-to-refined convolutional neural network (C2RNet) and diluted adaptive clustering. The proposed C2RNet cascades a coarse convolutional neural network (C-CNN) and a ...

Detecting user communities in online social networks (OSNs) is of great importance for understanding social dynamics. Compared to user connections, user interactions have been shown to be more meaningful for reflecting peer ...

In smart applications such as smart medical equipment, more data needs to be processed and trained locally and near the local end to prevent privacy leaks. However, the storage and computing capabilities of smart devices are limited, so some computing ...

With more organizational and individual data owners storing their data in the cloud, there is a corresponding need to ensure that such outsourced data can be computed by the data owners or some authorized third parties. In other words, the cloud server ...

DNS tunneling is a typical DNS attack that has been used for stealing information for many years. The stolen data is encoded and encapsulated into the DNS request to evade intrusion detection. The popular detection methods of machine learning use ...

In the centralized Internet of Things (IoT) archi- tecture there exists gateways, which gather sensed data from sensor nodes frequently. Due to numerous security threats and attacks in wireless sensor networks (WSNs), how to achieve device-to-device ...

Deep learning algorithms, especially convolution neural networks, have attracted huge attention in the field of medical image analysis. A hospital could train a neural network to detect disease based on medical images possessing. However, the number of ...

Nowadays, Electronic Medical Records (EHRs) are closely linked to people's social lives. In order to ensure the convenience of medical services, many related organizations need to share EHRs across organizations to exchange information. The existing ...

Before the final attack happens, clandestine attackers conduct sequenced stages for being stealthy and elusive. These attacks can leave clues in several different log files. Howeverexisting approaches can only detect the anomalies using single type of log ...

In Software-defined network (SDN), SDN applications and administrators rely on the logically centralized view of the network topology to make management decisions. Therefore, the correctness of SDN controller cluster’s network topology view ...

As a representative sequential pattern mining problem, counting the frequency of serial episodes from a streaming sequence has drawn continuous attention in academia due to its wide application in practice, e.g., telecommunication ...

• We propose a new quaternion image orthogonal moment named as QSBFM to effectively perform color image processing.

Moments with capable of representing global features have been widely used in image analysis, pattern recognition and computer vision applications. However, existing image moment theories are still mainly paid close attention to gray-...

• We develop a novel feature descriptor, named Legendre Circularly Orthogonal Moment (LCOM).

In the image outsourcing system, image privacy is still an increasing concern since the cloud service provider and image owners are not in the same trusted domain. The most straightforward method for guaranteeing image privacy is to ...

Bitcoin is one of the most influential digital cryptocurrencies in the world, of which the security is under serious threat. One of the most serious security problems is facing several attacking strategies on the bitcoin protocol, ...

With the growing use of cloud storage facilities, outsourced data security becomes a major concern. However, assured deletion for outsourced data, as an important issue for users, but received less attention in academia and industry. Most of ...

As one of the most important manners of personal and business communications, cloud emails have been widely employed due to its advantages of low-cost and convenience. However, with the occurrence of large-scale email leakage events and the ...

The explosive growth of Android malware has led to a strong interest in developing efficient and precise malware detection approach. Recent efforts have shown that machine learning-based malware classification is a promising direction, and the API-...

Most of the existing GPS spoofing detection schemes are vulnerable to the complex generative GPS spoofing attack, and require additional auxiliary equipments and extensive signal processing capabilities, leading to defects such as low real-time ...