The Overview of Database Security Threats’ Solutions: Traditional and Machine Learning

As an information-rich collective, there are always some people who choose to take risks for some ulterior purpose and others are committed to finding ways to deal with database security threats. The purpose of database security research is to prevent the database from being illegally used or destroyed. This paper introduces the main literature in the field of database security research in recent years. First of all, we classify these papers, the classification criteria are the influencing factors of database security. Compared with the traditional and machine learning (ML) methods, some explanations of concepts are interspersed to make these methods easier to understand. Secondly, we find that the related research has achieved some gratifying results, but there are also some shortcomings, such as weak generalization, deviation from reality. Then, possible future work in this research is proposed. Finally, we summarize the main contribution.

A Novel Database Watermarking Technique Using Blockchain as Trusted Third Party

With widespread use of relational database in various real-life applications,maintaining integrity and providing copyright protection is gaining keen interest of the researchers.For this purpose,watermarking has been used for quite a long time.Watermarking requires the role of trusted third party and a mechanism to extract digital signatures(watermark)to prove the ownership of the data under dispute.This is often inefficient as lots of processing is required.Moreover,certain malicious attacks,like additive attacks,can give rise to a situation when more than one parties can claim the ownership of the same data by inserting and detecting their own set of watermarks from the same data.To solve this problem,we propose to use blockchain technology—as trusted third party—along with watermarking for providing a means of rights protection of relational databases.Using blockchain for writing the copyright information alongside watermarking helps to secure the watermark as changing the blockchain is very difficult.This way,we combined the resilience of our watermarking scheme and the strength of blockchain technology—for protecting the digital rights information from alteration—to design and implement a robust scheme for digital right protection of relational databases.Moreover,we also discuss how the proposed scheme can also be used for version control.The proposed technique works with nonnumeric features of relational database and does not target only selected tuple or portion(subset)from the database for watermark embedding unlike most of the existing techniques;as a result,the chances of subset selection containing no watermark decrease automatically.The proposed technique employs zerowatermarking approach and hence no intentional error(watermark)is added to the original dataset.The results of the experiments proved the effectiveness of the proposed scheme.

Highly Secure Residents Life Event Management System Based on Blockchain by Hyperledger Fabric

This article describes the design and implementation of Residents Life Event Management System (hereinafter called as RLEMS) with high level reliability and security by blockchain technology. The data access environment provided by blockchain is highly secure and trustworthy. In Blockchain system, some data fragments are grouped into one piece called as blocks, and all blocks are connected to create a chain of blocks in database. When blocks are connected, hash value is used to connect blocks properly. Blockchain technology enables highly secure and reliable data management system under relatively poor ICT environment. For example, developing countries such as African countries do not have sufficient ICT environment. Therefore adopting blockchain technology is suitable for such countries. Based on this consideration, we have started to build RLEMS on the blockchain system. In previous work, we used the MultiChain as a blockchain platform. However, as MultiChain platform is mainly for private blockchain system, it is not suitable for government-level data management system. Therefore, we tried to use another blockchain framework. We selected Hyperledger Fabric which was developed by Linux Foundation. It enables to implement all styles of blockchain system. This article describes the design and implementation of RLEMS by using Hyperledger Fabric. Furthermore, to provide the best user experience, we also built the web application interface with Java web application framework named PrimeFace. The implementation of a prototype revealed that the Hyperledger Fabric blockchain technology is more suitable than MultiChain.

Review about Wireless Sensor Networks and the Internet of Things

Wireless sensor networks(WSNs)are created and affect our daily lives.You can find applications in various fields such as health,accident,life,manufacturing,production management,network management and many other fields.WSN now connects to the Internet of Things,connects the sensor to the Internet,and then uses it for collaboration and collaboration.However,when WSN is part of the internet we need to be able to study and analyze related terms.In this article,we’re going to look at different ways to getWSN online and identify the challenges that address in future as well.

A fine-grained access control model for relational databases

Fine-grained access control (FGAC) must be supported by relational databases to satisfy the requirements of privacy preserving and Internet-based applications.Though much work on FGAC models has been conducted,there are still a number of ongoing problems.We propose a new FGAC model which supports the specification of open access control policies as well as closed access control policies in relational databases.The negative authorization is supported,which allows the security administrator to specify what data should not be accessed by certain users.Moreover,multiple policies defined to regulate user access together are also supported.The definition and combination algorithm of multiple policies are thus provided.Finally,we implement the proposed FGAC model as a component of the database management system (DBMS) and evaluate its performance.The performance results show that the proposed model is feasible.

A method for detecting code security vulnerability based on variables tracking with validated-tree

SQL injection poses a major threat to the application level security of the database and there is no systematic solution to these attacks.Different from traditional run time security strategies such as IDS and fire-wall,this paper focuses on the solution at the outset;it presents a method to find vulnerabilities by analyzing the source codes.The concept of validated tree is developed to track variables referenced by database operations in scripts.By checking whether these variables are influenced by outside inputs,the database operations are proved to be secure or not.This method has advantages of high accuracy and efficiency as well as low costs,and it is universal to any type of web application platforms.It is implemented by the software code vulnerabilities of SQL injection detector(CVSID).The validity and efficiency are demonstrated with an example.

TIFAflow: Enhancing Traffic Archiving System with Flow Granularity for Forensic Analysis in Network Security

The archiving of Internet traffic is an essential function for retrospective network event analysis and forensic computer communication. The state-of-the-art approach for network monitoring and analysis involves storage and analysis of network flow statistic. However, this approach loses much valuable information within the Internet traffic. With the advancement of commodity hardware, in particular the volume of storage devices and the speed of interconnect technologies used in network adapter cards and multi-core processors, it is now possible to capture 10 Gbps and beyond real-time network traffic using a commodity computer, such as n2disk. Also with the advancement of distributed file system （such as Hadoop, ZFS, etc.） and open cloud computing platform （such as OpenStack, CloudStack, and Eucalyptus, etc.）, it is practical to store such large volume of traffic data and fully in-depth analyse the inside communication within an acceptable latency. In this paper, based on well- known TimeMachine, we present TIFAflow, the design and implementation of a novel system for archiving and querying network flows. Firstly, we enhance the traffic archiving system named TImemachine＋FAstbit （TIFA） with flow granularity, i.e., supply the system with flow table and flow module. Secondly, based on real network traces, we conduct performance comparison experiments of TIFAflow with other implementations such as common database solution, TimeMachine and TIFA system. Finally, based on comparison results, we demonstrate that TIFAflow has a higher performance improvement in storing and querying performance than TimeMachine and TIFA, both in time and space metrics.