Preserving Privacy of Software-Defined Networking Policies by Secure Multi-Party Computation

In software-defined networking (SDN), controllers are sinks of information such as network topology collected from switches. Organizations often like to protect their internal network topology and keep their network policies private. We borrow techniques from secure multi-party computation (SMC) to preserve the privacy of policies of SDN controllers about status of routers. On the other hand, the number of controllers is one of the most important concerns in scalability of SMC application in SDNs. To address this issue, we formulate an optimization problem to minimize the number of SDN controllers while considering their reliability in SMC operations. We use Non-Dominated Sorting Genetic Algorithm II (NSGA-II) to determine the optimal number of controllers, and simulate SMC for typical SDNs with this number of controllers. Simulation results show that applying the SMC technique to preserve the privacy of organization policies causes only a little delay in SDNs, which is completely justifiable by the privacy obtained.

     

一种适用于科研单位的混合组网方式

基于网络逻辑隔离概念，利用业务随行、Vxlan、SDN等网络新技术进行网络架构规划。在减少基础建设投资的前提下，通过精准逻辑隔离的方式对某科研院所的办公网、科研网和数据中心网络进行整体架构设计。该方式在不能单独组网（传统物理隔离）的条件下实现了网络终端、服务器、试验装置的访问可控和权限可控，可保障科研院所的整体网络运行在相对安全的环境，同时提高网络性能，降低人力成本，并为“智能化科研院所”建设提供相对完善的网络平台。     

基于车辆行驶数据的驾驶人行为谱分析方法

针对我国驾驶人行为谱的研究尚不完善，专业领域内没有相应的行为谱分析工具的问题，提出了一套针对营运客车的完整的驾驶人驾驶行为谱体系并设计了一套分析工具。首先，设计并定义了驾驶人行为谱的特征指标和评价指标；其次，给出了驾驶人行为谱的特征指标分析、计算方法，采用基于马尔可夫链蒙特卡洛采样和离群点剔除的K-means算法对驾驶人的驾驶风格进行分析，采用回归学习对驾驶人的驾驶技能进行分析；然后，设计了基于车联网、大数据的驾驶人行为谱的基础数据采集和预处理方法；最后，采用Java语言、Spring MVC架构开发出驾驶人行为谱分析工具。将机器学习中的数据挖掘、数据分析算法与交通安全领域相结合，对完善我国驾驶人行为谱框架体系具有理论意义，为我国驾驶人行为谱的研究提供了一个科学、定量化分析的工具，对交管部门规范驾驶人驾驶行为、提高道路安全指数、制定合理的交通安全管理策略具有指导意义。     

Creating Legitimacy for Citizen Initiatives: Representation,Identity and Strategic Networking

ABSTRACT

Citizen-led initiatives raise practical and theoretical questions about the criteria by which their democratic legitimacy should be judged. While existing analytical and normative frameworks are problematically based on a `state'/`citizen' binary, a network ontology which sees these as strategically-deployed constructs is more practically adequate for analysis. We demonstrate this through a case of a successful citizen initiative, and conclude that such analysis should examine processes of strategic networking, along with claims and constructions of representation and identity. This means not taking participants' categories, identities, and evaluations for granted, and privileging the possibility of challenge as a fundamental democratic criterion.     

DTN performance analysis of multi-asset Mars-Earth communications

The delay-/disruption-tolerant networking (DTN) architecture is considered the key enabling technology for future space communications, as confirmed by the current standardization within CCSDS and the experiments carried out onboard the International Space Station. Despite the scientific community efforts to analyze DTN architecture performance, most of the studies have focused on individual protocols, or have considered simple test cases, thus missing a whole system view. To bridge these research gaps, this paper presents a comprehensive analysis of DTN performance in Mars-Earth communications, considering a realistic and complex end-to-end scenario, where multiple assets and multiple data flows are involved, as envisioned for future space missions. To this end, a virtualized testbed based on ION software was used for an extensive emulation campaign, focusing particularly on Bundle and Licklider Protocol interaction with the CGR routing algorithm.     

基于SDN的链路故障恢复

网络的灾备与故障恢复作为网络安全的一部分,一直以来是人们关注的重点,传统网络缺少自动化的网络故障检测与恢复工具.SDN打破了传统网络设计理念,实现了控制平面和数据平面的分离,并开放了网络的可编程能力,从而提高了网络的灵活性和可管控性.通过SDN技术,自动化的网络故障恢复与检测成为了可能.设计了一种基于SDN的链路故障检测与自动化恢复方案,通过链路发现协议来获得全网拓扑,监控网络链路状态,并通过SDN的集中管控特性和可编程性实现链路故障快速检测和故障恢复.     

The influence of online professional social media in human resource management: A systematic literature review

Professional social media platforms (PSMs), including LinkedIn, have created better opportunities for students and employees to advance their career aspirations. Though PSMs seem to be an effective human resource management (HRM) tool, in order to leverage PSMs effectively, it is strategically essential to incorporate research inputs from both the employers' and the individuals’ perspectives. Realizing this, academic researchers have been interested in PSMs since the previous decade. However, research on PSMs and their effectiveness continues to be in the embryonic stage. To catalyze scholarly interest and provide a foundation for formulating sound theoretical propositions for the efficient use of PSMs, it is imperative to aggregate and critically evaluate prior findings and provide avenues for future research. Addressing this need, the current study undertakes a systematic literature review to comprehensively understand the influence of PSMs on one particular aspect of HRM—namely, hiring processes. Forty-five studies were selected from existing literature to examine the accumulated knowledge, assess current research boundaries, and derive ways to enrich this area of research further. The study is motivated by the fact that given the short life cycle of social media platforms and information systems, PSMs need to innovate and continuously offer value to their users. The study makes a concrete contribution to PSM literature by generating actionable research avenues for future researchers and providing practical insights for managers and service providers.     

SDN-aware federation of distributed data

The introduction of software defined networking (SDN) has created an opportunity for file access services to get a view of the underlying network and to further optimize large data transfers. This opportunity is still unexplored while the amount of data that needs to be transferred is growing. Data transfers are also becoming more frequent as a result of interdisciplinary collaborations and the nature of research infrastructures. To address the needs for larger and more frequent data transfers, we propose an approach which enables file access services to use SDN. We extend the file access services developed in our earlier work by including network resources in the provisioning for large data transfers. A novel SDN-aware file transfer mechanism is prototyped for improving the performance and reliability of large data transfers on research infrastructure equipped with programmable network switches. Our results show that I/O and data-intensive scientific workflows benefit from SDN-aware file access services.     

WebGIS监测信息管理网站运行平台的设计及应用

介绍了一种为煤矿监控系统联网而设计研发的WebGIS监测信息管理网站的运行平台WebGIS矿端代理服务器和WebGIS局端数据采集服务器。介绍了各运行平台的设计过程及其主要功能，给出了各平台软件在煤矿集团、企业中的实际应用情况。     

For they know not what they do? Target memory and metacognitive monitoring of self-disclosures on social networking sites

To adequately weigh the risks and benefits of self-disclosures on Social Networking Sites (SNS), it is pivotal for users to be aware of the current status of their digital privacy. Cognitive and metacognitive factors seem necessary in this context, for example target memory about who exactly has access to exactly which pieces of information and metacognitive monitoring of the status of one’s own target memory. Transferring paradigms from basic memory and metacognition research, we systematically investigated the impact of risk cues on these variables: In Experiment 1 ninety-eight young SNS users repeatedly disclosed personal or impersonal information (between-subject: information intimacy) to large or small audiences (within-subject: audience size). Afterwards their target memory was assessed and they gave metacognitive confidence judgments regarding each answer. Results indicate that participants remembered well if they had disclosed something but struggled with target memory (correct association between content and specific audience), an effect that was mirrored regarding metacognitive monitoring. Importantly participants’ target memory was significantly better under conditions of risk (personal information, large audience), but they were not metacognitively aware of these risk effects. Experiment 2 (N = 59) replicated the audience size effects and confirmed that these were not artifacts of visual salience.