Proceedings of the 2020 European Interdisciplinary Cybersecurity Conference最新文献_第2页

A Novel Approach for Acquiring Training and Software Security Requirements 获取培训和软件安全需求的新方法

Proceedings of the 2020 European Interdisciplinary Cybersecurity Conference Pub Date : 2020-11-18 DOI: 10.1145/3424954.3424964

Damjan Fujs, Simon L. R. Vrhovec, Damjan Vavpotič

引用次数: 1

AIT Cyber Range: Flexible Cyber Security Environment for Exercises, Training and Research AIT网络靶场:演习、训练和研究的灵活网络安全环境

Proceedings of the 2020 European Interdisciplinary Cybersecurity Conference Pub Date : 2020-11-18 DOI: 10.1145/3424954.3424959

Maria Leitner, Maximilian Frank, Wolfgang Hotwagner, Gregor Langner, O. Maurhart, Timea Pahi, Lenhard Reuter, Florian Skopik, Paul Smith, M. Warum

{"title":"AIT Cyber Range: Flexible Cyber Security Environment for Exercises, Training and Research","authors":"Maria Leitner, Maximilian Frank, Wolfgang Hotwagner, Gregor Langner, O. Maurhart, Timea Pahi, Lenhard Reuter, Florian Skopik, Paul Smith, M. Warum","doi":"10.1145/3424954.3424959","DOIUrl":"https://doi.org/10.1145/3424954.3424959","url":null,"abstract":"With the evolution of threats and attacks and the speed of automation, new modern training and learning environments are needed to support the challenges of digital organizations and societies. In recent years, cyber ranges, i.e., virtual environments that support the simulation of diverse infrastructures, have emerged and are often utilized for cyber security exercises or training. With these environments, organizations or individuals can increase their preparedness and dexterity, for example, by training to identify and mitigate incidents and attacks. In this paper, we present the AIT Cyber Range which was designed based on several principles such as scalability, flexibility and the utilization of Open Source technologies. This paper outlines the building blocks of the architecture and implementation: computing platform, infrastructure provisioning, software provisioning and scenario engine. Furthermore, the implementation is demonstrated by three use cases: cyber exercises, training as well as security research and development. For future work, we aim to further extend the building blocks and to address federation and interoperability with other cyber ranges.","PeriodicalId":166844,"journal":{"name":"Proceedings of the 2020 European Interdisciplinary Cybersecurity Conference","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133888811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Towards Reconstructing Multi-Step Cyber Attacks in Modern Cloud Environments with Tripwires 用绊线重建现代云环境中的多步骤网络攻击

Proceedings of the 2020 European Interdisciplinary Cybersecurity Conference Pub Date : 2020-09-25 DOI: 10.1145/3424954.3424968

Mario Kahlhofer, M. Hölzl, A. Berger

引用次数: 0

Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis 基于贝叶斯趋势分析评估COVID-19对网络欺凌的影响

Proceedings of the 2020 European Interdisciplinary Cybersecurity Conference Pub Date : 2020-08-07 DOI: 10.1145/3424954.3424960

Sayar Karmakar, Sanchari Das

{"title":"Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis","authors":"Sayar Karmakar, Sanchari Das","doi":"10.1145/3424954.3424960","DOIUrl":"https://doi.org/10.1145/3424954.3424960","url":null,"abstract":"COVID-19's impact has surpassed from personal and global health to our social life. In terms of digital presence, it is speculated that during pandemic, there has been a significant rise in cyberbullying. In this paper, we have examined the hypothesis of whether cyberbullying and reporting of such incidents have increased in recent times. To evaluate the speculations, we collected cyberbullying related public tweets (N = 454, 046) posted between January 1st, 2020 - June 7th, 2020. A simple visual frequentist analysis ignores serial correlation and does not depict changepoints as such. To address correlation and a relatively small number of time points, Bayesian estimation of the trends is proposed for the collected data via an autoregressive Poisson model. We show that this new Bayesian method detailed in this paper can clearly show the upward trend on cyberbullying-related tweets since mid-March 2020. However, this evidence itself does not signify a rise in cyberbullying but shows a correlation of the crisis with the discussion of such incidents by individuals. Our work emphasizes a critical issue of cyberbullying and how a global crisis impacts social media abuse and provides a trend analysis model that can be utilized for social media data analysis in general.","PeriodicalId":166844,"journal":{"name":"Proceedings of the 2020 European Interdisciplinary Cybersecurity Conference","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123203903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21