2021 IEEE International Conference on Cyber Security and Resilience (CSR)最新文献_第7页

Impact assessment of anomaly propagation in a naval water distribution cyber-physical system 海军配水网络物理系统异常传播影响评估

2021 IEEE International Conference on Cyber Security and Resilience (CSR) Pub Date : 2021-07-26 DOI: 10.1109/CSR51186.2021.9527952

Nicolas Pelissero, Pedro Merino Laso, J. Puentes

{"title":"Impact assessment of anomaly propagation in a naval water distribution cyber-physical system","authors":"Nicolas Pelissero, Pedro Merino Laso, J. Puentes","doi":"10.1109/CSR51186.2021.9527952","DOIUrl":"https://doi.org/10.1109/CSR51186.2021.9527952","url":null,"abstract":"Cyber-Physical Systems (CPS) are composed by multiple subsystems that encompass numerous interdependencies. Although indispensable and highly performant from a functional perspective, complex interconnectivity constitutes paradoxically a significant vulnerability when an anomaly occurs. Anomalies could propagate and impact the entire CPS with irreversible consequences. This paper presents an approach to assess the anomaly propagation impact risk on a three layers oriented graph which represents the physical, digital, and system variables of a CPS components and interdependencies. Anomalies are detected applying information quality measures, while potential propagation paths are assessed computing the cumulated risk represented by weights assigned to the graph edges. To verify the cascading impact of different anomalies four cyber-attacks - denial of service, sensor offset alteration, false data injection, and replay attack - were implemented on a simulated naval water distribution CPS. The propagation impact of three anomalies was successfully assessed and the corresponding estimated propagation path, if applicable, confirmed.","PeriodicalId":253300,"journal":{"name":"2021 IEEE International Conference on Cyber Security and Resilience (CSR)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132018175","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: 3

The Current State of The Art and Future of European Cyber Range Ecosystem 欧洲网络范围生态系统的现状和未来

2021 IEEE International Conference on Cyber Security and Resilience (CSR) Pub Date : 2021-07-26 DOI: 10.1109/CSR51186.2021.9527931

Csaba Virág, Jakub Cegan, Tomáš Lieskovan, Matteo Merialdo

引用次数: 2

Cyber Resilience for Self-Monitoring IoT Devices 自我监控物联网设备的网络弹性

2021 IEEE International Conference on Cyber Security and Resilience (CSR) Pub Date : 2021-07-26 DOI: 10.1109/CSR51186.2021.9527995

M. Medwed, V. Nikov, Joost Renes, Tobias Schneider, Nikita Veshchikov

引用次数: 3

Fast Dual-Field ECDSA Accelerator with Increased Resistance against Horizontal SCA Attacks 快速双场ECDSA加速器增加抵抗水平SCA攻击

2021 IEEE International Conference on Cyber Security and Resilience (CSR) Pub Date : 2021-07-26 DOI: 10.1109/CSR51186.2021.9527912

I. Kabin, D. Klann, Z. Dyka, P. Langendoerfer

{"title":"Fast Dual-Field ECDSA Accelerator with Increased Resistance against Horizontal SCA Attacks","authors":"I. Kabin, D. Klann, Z. Dyka, P. Langendoerfer","doi":"10.1109/CSR51186.2021.9527912","DOIUrl":"https://doi.org/10.1109/CSR51186.2021.9527912","url":null,"abstract":"Elliptic Curve Cryptography (ECC) is one of the common used standard methods for encrypting and signing messages which is essential when it comes to IoT communication. In this paper we discuss the side channel analysis attack resistance of our fast dual-field ECDSA accelerator. We present our implementation of a design supporting four different NIST Elliptic Curves to allow the reader to understand the discussion of the resistance aspects. Our key findings concerning the resistance are that the dual field design is by far more resistant against SCA than individual designs for B-curves. Here we were able to determine only two key candidates with a correctness above 85% for B-233 compared to the individual design of B-233 for which 6 key candidates with a correctness of more than 95% were revealed. In addition we were able to retrieve 4 candidates with a correctness of more than 97% for P-224 and even 3 fully correct key candidates for P-256. This is especially important as the design for ECs over GF(p) is realized using atomic patterns which is considered in the literature to ensure resistance against horizontal side-channel analysis attacks.","PeriodicalId":253300,"journal":{"name":"2021 IEEE International Conference on Cyber Security and Resilience (CSR)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126714800","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: 1

Analyzing Cascading Effects of Spoofing Attacks on ADS-B Using a Discrete Model of Air Traffic Control Responses and AGMOD Dynamics 利用空中交通管制响应和AGMOD动力学的离散模型分析ADS-B欺骗攻击的级联效应

2021 IEEE International Conference on Cyber Security and Resilience (CSR) Pub Date : 2021-07-26 DOI: 10.1109/CSR51186.2021.9527914

M. R. Kamaruzzaman, Bernard Ousmane Sané, Doudou Fall, Yuzo Taenaka, Y. Kadobayashi

{"title":"Analyzing Cascading Effects of Spoofing Attacks on ADS-B Using a Discrete Model of Air Traffic Control Responses and AGMOD Dynamics","authors":"M. R. Kamaruzzaman, Bernard Ousmane Sané, Doudou Fall, Yuzo Taenaka, Y. Kadobayashi","doi":"10.1109/CSR51186.2021.9527914","DOIUrl":"https://doi.org/10.1109/CSR51186.2021.9527914","url":null,"abstract":"Cyber attacks on civil aviation critical information infrastructure such as Automatic Surveillance Dependent-Broadcast (ADS-B) spoofing targeting ground stations could cause major detrimental impacts to the performance of Air Traffic Management (ATM) operations. To mitigate the risks of spoofing attacks, a deep understanding of the possible impacts is crucial. Therefore, we analyzed the perturbated states of the flight ‘Arrivals-Ground Movement-Departures’ (AGMOD) dynamics during an emergency using a discrete events model. We simulated attack scenarios and observed the emerged cascading effects in the form of flight delay propagation through quantification of delayed time steps and number of affected aircraft within the AGMOD phases. Besides proving how ADS-B spoofing attacks propagate flight delays, our model is also able to render the dynamics of AGMOD key events based on Air Traffic Controller (ATC)’s response time during cyber-physical incidences. This capability is ideal for decision makers in forming mitigation plans to enhance operational resilience.","PeriodicalId":253300,"journal":{"name":"2021 IEEE International Conference on Cyber Security and Resilience (CSR)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130112621","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: 2

STRIDE-AI: An Approach to Identifying Vulnerabilities of Machine Learning Assets STRIDE-AI:一种识别机器学习资产漏洞的方法

2021 IEEE International Conference on Cyber Security and Resilience (CSR) Pub Date : 2021-07-26 DOI: 10.1109/CSR51186.2021.9527917

Lara Mauri, E. Damiani

引用次数: 4

Web Bot Detection Evasion Using Generative Adversarial Networks 基于生成对抗网络的网络机器人检测规避

2021 IEEE International Conference on Cyber Security and Resilience (CSR) Pub Date : 2021-07-26 DOI: 10.1109/CSR51186.2021.9527915

Christos Iliou, Theodoros Kostoulas, T. Tsikrika, Vasilis Katos, S. Vrochidis, Y. Kompatsiaris

引用次数: 2

On the detection of Channel Switch Announcement Attack in 802.11 networks 802.11网络中信道交换公告攻击检测研究

2021 IEEE International Conference on Cyber Security and Resilience (CSR) Pub Date : 2021-07-26 DOI: 10.1109/CSR51186.2021.9527971

Constantinos Louca, A. Peratikou, S. Stavrou

引用次数: 2

X-BaD: A Flexible Tool for Explanation-Based Bias Detection X-BaD:一个灵活的基于解释的偏差检测工具

2021 IEEE International Conference on Cyber Security and Resilience (CSR) Pub Date : 2021-07-26 DOI: 10.1109/CSR51186.2021.9527956

M. Pacini, F. Nesti, Alessandro Biondi, G. Buttazzo

{"title":"X-BaD: A Flexible Tool for Explanation-Based Bias Detection","authors":"M. Pacini, F. Nesti, Alessandro Biondi, G. Buttazzo","doi":"10.1109/CSR51186.2021.9527956","DOIUrl":"https://doi.org/10.1109/CSR51186.2021.9527956","url":null,"abstract":"As widely known, machine learning has been thriving during the last two decades on the strength of two key factors: significant and continuous improvements in hardware performance and the possibility to produce large datasets through automated procedures. However, it has been shown that datasets often contain biases that can significantly affect the performance and resilience of machine learning models, e.g., when deployed to realize functionality for cyber-physical systems. For this reason, a lot of research has been devoted to methodologies and tools for detecting biases in the dataset.This paper presents X-BaD, a tool for bias detection designed to inject and discover biases in a neural network. It is implemented as an open-source Python library that extends the Spectral Relevance Analysis methodology. It allows data reusability and user customization by parameter configurations, and offers built-in functions to inject artificial biases into popular image datasets such as CIFAR-10, Pascal VOC, and ImageNet, for test purposes. This tool is compatible and extensible with features that are commonly used in machine learning frameworks, such as PyTorch and Pytorch Lightning datasets and models, Captum attributions, and Sci-kit Learn clustering algorithms and clustering performance evaluation methods. It also includes functions to interpret and assess the processed data. A set of experiments is finally presented to evaluate the effectiveness of the proposed tool.","PeriodicalId":253300,"journal":{"name":"2021 IEEE International Conference on Cyber Security and Resilience (CSR)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127579198","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: 2

Towards Selecting Informative Content for Cyber Threat Intelligence 网络威胁情报信息内容选择研究

2021 IEEE International Conference on Cyber Security and Resilience (CSR) Pub Date : 2021-07-26 DOI: 10.1109/CSR51186.2021.9527909

Panos Panagiotou, Christos Iliou, Konstantinos Apostolou, T. Tsikrika, S. Vrochidis, P. Chatzimisios, I. Kompatsiaris

引用次数: 2