韩国《个人信息保护法》的最新修正及其对我国之启示

基于提升对核心资源数据的利用活性化,发展新产业等目的,韩国立法机关在2020年对《个人信息保护法》进行了幅度最大且最具有现实意义的一次修正。此次新增“假名信息”的概念并明确其具体的含义,否认需要耗费极多时间和费用、运用超前技术才能被识别的信息属于个人信息。与此同时,还扩大了“知情同意原则”的例外情形,认为只要与收集信息的目的合理关联,在满足一定条件的前提下可以不经信息主体的同意利用或者向第三者提供个人信息。若是出于统计、科学研究、公益记录保存等目的,亦可无须信息主体的同意对个人信息进行假名处理。这些修正内容为今后《中华人民共和国个人信息保护法》的进一步完善提供了诸多有价值的启发,可以积极地予以借鉴。具体而言,应当在《中华人民共和国个人信息保护法》中肯定匿名化信息的相对性,确立目的相关联原则以及合理框定不适用“知情同意原则”的情形。

信息素养与信息技术教育

在<中小学信息技术课程指导纲要(试行)>里,把"培养学生良好的信息素养,把信息技术作为支持学生终身学习和合作学习的手段,为适应信息化的学习、工作和生活打下必要的基础",写上这一段话,充分说明了培养学生信息素养的重要性.作为一线的信息技术教师,我们必须正确理解"信息素养"的科学含义并在教育教学中紧紧抓住培养学生良好信息素养这一中心任务来制定教学策略.

Quantitative Seismicity Analysis for the Risk of Historical Large Earthquake Rupture Zone:Application to the Mid-North Segment of the North-South Seismic Belt

Although seismic gap theory plays an important role in the med-and long-term earthquake prediction,the potential risk of the non-seismic gap in historical earthquake rupture areas will need to be simultaneously taken into account in the study of med-and long-term earthquake prediction,due to the temporally clustering or non-linear behavior of large earthquake recurrence.In order to explore technical methods which can be based on observational data,and identify historical earthquake rupture zones( including the seismic gap in historical and prehistoric earthquake rupture zones),we select eight historical large earthquake rupture zones with different elapsed times on the mid-north segment of the North-South Seismic Belt to make quantitative analysis on the characteristics of modern seismicity of these zones and preliminarily explore the seismicity method for determining the urgency degree of potential earthquake hazards.The results mainly show that the pvalue,which reflects the attenuation of earthquake sequence,and the a-value,which reflects the seismicity rate,are strongly related to the elapsed time of the latest earthquake in the rupture zone.However,the corresponding relationships in some rupture areas are not clear perhaps due to the complex fault structure and faulting behavior.The b-value,which represents the state of tectonic stress accumulation,does not easily reflect the elapsed time information of different evolution stages.The b-value temporal scanning shows a steady evolution over time in most of the rupture zones,but in the rupture zone of the Wudu M8.0 earthquake of 1879,the b-value shows significant fluctuations with a decreasing trend for 20 years.By comparative analysis,we conclude that the rupture zones of the 1933 M7.5 Maoxian earthquake and the 1976 M7.2 Songpan-Pingwu earthquake are still in the decaying period of earthquake sequences,and thus do not have the background for recurrence of M7.0 earthquakes.The low b-value Maqu segment,which is located at the north margin of the rupture zone of the 842A.D.M7.0 Diebu earthquake,is more dangerous than the Diebu segment.The continuous decline of the b-value in the 1879 M8.0 Wudu earthquake rupture zone may also indicate a new round of seismogenic process.

Application of ICT in Schools

The rhythm and lifestyle of the twenty-first century are closely connected to information and communication technology （ICT） which is essential for further development of the economy and society. In the world of globalization and rapid changes, the application of ICT in schools has become a significant factor of social development. Classic methods of teaching as well as managing a school interweave with the modern ones. Lifelong learning has become a necessity. The extent of ICT application is demonstrated in this paper.

Secure Mobile Crowdsensing Based on Deep Learning

To improve the quality of multimedia services and stimulate secure sensing in Internet of Things applications, such as healthcare and traffic monitoring, mobile crowdsensing(MCS) systems must address security threats such as jamming, spoofing and faked sensing attacks during both sensing and information exchange processes in large-scale dynamic and heterogeneous networks. In this article, we investigate secure mobile crowdsensing and present ways to use deep learning(DL) methods, such as stacked autoencoder, deep neural networks, convolutional neural networks, and deep reinforcement learning, to improve approaches to MCS security, including authentication, privacy protection, faked sensing countermeasures, intrusion detection and anti-jamming transmissions in MCS. We discuss the performance gain of these DLbased approaches compared to traditional security schemes and identify the challenges that must be addressed to implement these approaches in practical MCS systems.

Context-Aware Scheduling Algorithm in Smart Home System

The main idea of pervasive computing is to make computing exist everywhere in the physical world.The smart home system is an important realisation of pervasive computing whose aim is to provide system users with an intelligent life experience.The key technique used to realise this is context awareness.Contexts in the living space can provide large amounts of information regarding users’behaviours and habits.Together with an information system,it can automatically execute many common operations of applications,instead of users,and can make the applications"smart".However,since contexts in the environment are diverse and sensitive,it is difficult to choose the ones that are most useful to the users’current activity.A proper scheduling strategy should first consider the users’demand.This paper proposes a context-aware scheduling algorithm that is based on correlation,with the purpose of improving the utilization rate of context collections.Experiments show that with the priority based on correlation in low-level contexts,the scheduling of reasoning tasks can reduce the cost of transmission.

The Application of GNSS to Fault Deformation Studies

Great earthquakes often occur along or near active fault belts. Thus,monitoring and research on fault deformation are quite important. Methods such as short-leveling,shortbaseline and integrated monitoring profile across fault belts have been used to monitor fault activities for many years. GNSS observations are mainly used to obtain the horizontal velocity field in large areas and to study the activities and deformation of major blocks.GNSS technology has been used to monitor and study the deformation of faults from a different aspects. In this paper,some applications and new explorations of GNSS are discussed. They are:( 1) Research and monitoring of strike-slip activities of faults with GNSS.( 2) Research and monitoring of vertical activities of faults with GNSS.( 3)Investigating the laws of deformation of blocks on the sides of fault zone and setting up strain models to deduce the activities and deformation of faults with respective models and compare the deduced results with the actual measurements across fault. It is concluded that a larger discrepancy between the deduced and the observed deformation indicates a stronger interaction between the blocks,which can be important for predicting the location of a strong earthquake and assessing seismic hazard,as well as the seismicity trend.