Advances in Knowledge Discovery and Data Mining
23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I
Page
%P
131 Result(s)
within
**qi Zhou
Artificial Intelligence
Information Systems Applications (incl. Internet)
Systems and Data Security
-
Chapter and Conference Paper
HuntFlow: Search the Arithmetic Vulnerability in Ethereum Smart Contract
With the development of blockchain technology, smart contracts have been applied in more and more industries. Smart contracts are immutable once deployed, so unaudited smart contracts can easily cause economic...
-
Chapter and Conference Paper
Neural Watermarking for 3D Morphable Models
3D morphable models (3DMMs) have been widely used in computer graphics applications. Therefore, digital watermarking for 3DMMs can also become a valuable research direction in the near future. However, previou...
-
Chapter and Conference Paper
A Learning-Based Feature Extraction Method for Detecting Malicious Code
The identification of new malicious code has become an important research direction in the field of network security, nevertheless, most malicious programs can only get a small amount of operation code after a...
-
Chapter and Conference Paper
Dynamic Encryption of Power Internet of Things Data Based on National Secret Algorithm
The power Internet of Things is the evolution direction of the power industry. While improving the convenience of power grid operations, it also brings emerging network security risks to traditional industries...
-
Chapter and Conference Paper
Mobile Terminal Security Protection Method Based on Community Detection Algorithms and Graph Matching Networks
The rapid growth in the number of malware apps poses a great danger to users of power mobile terminals. Among smart devices, devices using the Android system are very popular and thus are easy targets for malw...
-
Chapter and Conference Paper
Succinct Scriptable NIZK via Trusted Hardware
Non-interactive zero-knowledge proof or argument (NIZK) systems are widely used in many security sensitive applications to enhance computation integrity, privacy and scalability. In such systems, a prover want...
-
Chapter and Conference Paper
An Effective Occlusion Edge Prediction Method in Light Field Depth Estimation
Occlusion is one of the most complicated and difficult problem to deal with in light field depth estimation. Previous methods usually use edge detection of central view as the basis for subsequent depth estima...
-
Chapter and Conference Paper
Privacy Prediction of Lightweight Convolutional Neural Network
The growing popularity of cloud-based deep learning raises a problem about accurate prediction and data privacy. Previous studies have implemented privacy prediction for simple neural networks. Since more comp...
-
Chapter and Conference Paper
Research on Database Anomaly Access Detection Based on User Profile Construction
As a platform for data storage and administration, database contains private and large information, which makes it a target of malicious personnel attacks. To prevent attacks from outsiders, database administr...
-
Chapter and Conference Paper
Privacy-Preserving and Outsourced Density Peaks Clustering Algorithm
With the powerful platform of cloud, it is attractive for an organization with massive data to outsource to a cloud provider. However, the data owner may have concerns about the privacy of its data. In this pa...
-
Book and Conference Proceedings
-
Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III
-
Book and Conference Proceedings
Advances in Knowledge Discovery and Data Mining
23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II
-
Chapter and Conference Paper
A New Quantitative Evaluation Method for Fuzzing
In order to ensure the network system security, many fuzzing strategies have been proposed recently, how to formally measure the performance of various fuzzing strategies, and choose the optimal strategy to im...
-
Chapter and Conference Paper
A Recency Effect Hidden Markov Model for Repeat Consumption Behavior Prediction
With the rapid development of mobile payment technology in China, people can use smartphone with some mobile payment apps (such as Alipay, WeChat pay and Apple pay etc.) to pay bills instead of paying cash. S...
-
Chapter and Conference Paper
Positioning Improvement Algorithm Based on LoRa Wireless Networks
Internet of Things (IOT) has been maturing due to multiple applications and high demand, and LoRa technology is hotter and hotter in this area. This paper explains an optimization of positioning accuracy withi...
-
Chapter and Conference Paper
Multitask Learning for Sparse Failure Prediction
Sparsity is a problem which occurs inherently in many real-world datasets. Sparsity induces an imbalance in data, which has an adverse effect on machine learning and hence reducing the predictability. Previous...
-
Chapter and Conference Paper
Knowledge Graph Embedding by Translation Model on Subgraph
In this paper, we propose a translation model on subgragh representing knowledge graph. The model builds an ensemble TransE model on subgraph divided by features of relations in triplets by training the model...
-
Chapter and Conference Paper
Searching the Internet of Things Using Coding Enabled Index Technology
With the Internet of Things (IoT) becoming a major component of our daily life, IoT search engines, which can crawl heterogeneous data sources and search in highly dynamic contexts, attract increasing attenti...
-
Chapter and Conference Paper
Image Retrieval Using Inception Structure with Hash Layer for Intelligent Monitoring Platform
In view of the problem of low efficiency and accuracy in traditional image retrievals, a method using inception structure with hash layers of image retrieval is presented for intelligent monitoring platform. ...
