Proceedings of the 16th International Conference on Availability, Reliability and Security最新文献_第9页

A Hybrid CNN-LSTM Based Approach for Anomaly Detection Systems in SDNs 基于CNN-LSTM混合方法的sdn异常检测系统

Proceedings of the 16th International Conference on Availability, Reliability and Security Pub Date : 2021-08-16 DOI: 10.1145/3465481.3469190

Mahmoud Abdallah, Nhien-An Le-Khac, Hamed Z. Jahromi, A. Jurcut

{"title":"A Hybrid CNN-LSTM Based Approach for Anomaly Detection Systems in SDNs","authors":"Mahmoud Abdallah, Nhien-An Le-Khac, Hamed Z. Jahromi, A. Jurcut","doi":"10.1145/3465481.3469190","DOIUrl":"https://doi.org/10.1145/3465481.3469190","url":null,"abstract":"Software-Defined Networking (SDN) is a promising technology for the future Internet. However, the SDN paradigm introduces new attack vectors that do not exist in the conventional distributed networks. This paper develops a hybrid Intrusion Detection System (IDS) by combining the Convolutional Neural Network (CNN) and Long Short-Term Memory Network (LSTM). The proposed model is capable of capturing the spatial and temporal features of the network traffic. Two regularization techniques i.e., L2 Regularization () and dropout method are used to overcome with the overfitting problem. The proposed method improves the intrusion detection performance of zero-day attacks. The InSDN dataset — the most recent dataset for SDN networks is used to test and evaluate the performance of the proposed model. The results indicate that integrating the CNN with LSTM improves the intrusion detection performance and achieves an accuracy of 96.32%. The estimated accuracy is higher than the accuracy of each individual model. In addition, it is established that the regularization techniques improves the performance of the CNN algorithms in detecting new intrusions when compared to the standard CNN. The findings of this study facilitates the development of robust IDS systems for SDN environment.","PeriodicalId":417395,"journal":{"name":"Proceedings of the 16th International Conference on Availability, Reliability and Security","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121544525","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: 28

Proceedings of the 16th International Conference on Availability, Reliability and Security Pub Date : 2021-08-16 DOI: 10.1145/3465481.3470088

D. Megías, M. Kuribayashi, A. Rosales, W. Mazurczyk

{"title":"DISSIMILAR: Towards fake news detection using information hiding, signal processing and machine learning","authors":"D. Megías, M. Kuribayashi, A. Rosales, W. Mazurczyk","doi":"10.1145/3465481.3470088","DOIUrl":"https://doi.org/10.1145/3465481.3470088","url":null,"abstract":"Digital media have changed the classical model of mass media that considers the transmitter of a message and a passive receiver, to a model where users of the digital media can appropriate the contents, recreate, and circulate them. In this context, online social media are a suitable circuit for the distribution of fake news and the spread of disinformation. Particularly, photo and video editing tools and recent advances in artificial intelligence allow non-professionals to easily counterfeit multimedia documents and create deep fakes. To avoid the spread of disinformation, some online social media deploy methods to filter fake content. Although this can be an effective method, its centralized approach gives an enormous power to the manager of these services. Considering the above, this paper outlines the main principles and research approach of the ongoing DISSIMILAR project, which is focused on the detection of fake news on social media platforms using information hiding techniques, in particular, digital watermarking, combined with machine learning approaches.","PeriodicalId":417395,"journal":{"name":"Proceedings of the 16th International Conference on Availability, Reliability and Security","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124031777","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

SoK: Remote Power Analysis 远程功率分析

Proceedings of the 16th International Conference on Availability, Reliability and Security Pub Date : 2021-08-16 DOI: 10.1145/3465481.3465773

M. Martínez-Rodríguez, Ignacio M. Delgado-Lozano, B. Brumley

引用次数: 3

MI-LXC: A Small-Scale Internet-Like Environment for Network Security Teaching MI-LXC:小型类互联网环境下的网络安全教学

Proceedings of the 16th International Conference on Availability, Reliability and Security Pub Date : 2021-08-16 DOI: 10.1145/3465481.3469181

François Lesueur, Camille Noûs

引用次数: 0

Enabling Privacy-Preserving Rule Mining in Decentralized Social Networks 在分散的社交网络中实现隐私保护规则挖掘

Proceedings of the 16th International Conference on Availability, Reliability and Security Pub Date : 2021-08-16 DOI: 10.1145/3465481.3465482

A. Wainakh, Aleksej Strassheim, Tim Grube, Jörg Daubert, Max Mühlhäuser

引用次数: 0

Discovery of Single-Vendor Marketplace Operators in the Tor-Network tor网络中单一供应商市场运营商的发现

Proceedings of the 16th International Conference on Availability, Reliability and Security Pub Date : 2021-08-16 DOI: 10.1145/3465481.3470026

Fabian Brenner, Florian Platzer, M. Steinebach

{"title":"Discovery of Single-Vendor Marketplace Operators in the Tor-Network","authors":"Fabian Brenner, Florian Platzer, M. Steinebach","doi":"10.1145/3465481.3470026","DOIUrl":"https://doi.org/10.1145/3465481.3470026","url":null,"abstract":"In the Tor-network are many single-vendor marketplace web sites with a wide range of offers. Some of these vendor websites could be hosted by the same operators. In this paper, a method is presented to find out similarities between these vendor websites to discover possible operational structures between them. In order to accomplish this, similarity values are determined between the darknet websites by combining various features from the different categories structure, content and metadata. A dataset is determined by a first execution of the method and manual validation. Based on this data set, important features are extracted using decision trees. The features of the category structure HTML-Tag, HTML-Class, HTML-DOM-Tree as well as the metadata features File Content and Links-To have proven to be particularly important and can very effectively highlight similarities between darknet web sites. Supported by the similarity detection method, it was found that only 49% of 258 single-vendor marketplaces were unique, i.e. no similar sites existed. In addition, it was possible to find several duplicates of vendor websites, which made up 20%.","PeriodicalId":417395,"journal":{"name":"Proceedings of the 16th International Conference on Availability, Reliability and Security","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124521179","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

Secure Open Fronthaul Interface for 5G Networks 5G网络安全开放前传接口

Proceedings of the 16th International Conference on Availability, Reliability and Security Pub Date : 2021-08-16 DOI: 10.1145/3465481.3470080

J. Cho, Andrew Sergeev

引用次数: 3

Implementing CRYSTALS-Dilithium Signature Scheme on FPGAs 在fpga上实现晶体-二锂签名方案

Proceedings of the 16th International Conference on Availability, Reliability and Security Pub Date : 2021-08-16 DOI: 10.1145/3465481.3465756

Sara Ricci, L. Malina, P. Jedlicka, D. Smekal, J. Hajny, Peter Cíbik, P. Dobias

{"title":"Implementing CRYSTALS-Dilithium Signature Scheme on FPGAs","authors":"Sara Ricci, L. Malina, P. Jedlicka, D. Smekal, J. Hajny, Peter Cíbik, P. Dobias","doi":"10.1145/3465481.3465756","DOIUrl":"https://doi.org/10.1145/3465481.3465756","url":null,"abstract":"In July 2020, the lattice-based CRYSTALS-Dilithium digital signature scheme has been chosen as one of the three third-round finalists in the post-quantum cryptography standardization process by the National Institute of Standards and Technology (NIST). In this work, we present the first Very High Speed Integrated Circuit Hardware Description Language (VHDL) implementation of the CRYSTALS-Dilithium signature scheme for Field-Programmable Gate Arrays (FPGAs). Due to our parallelization-based design requiring only low numbers of cycles, running at high frequency and using reasonable amount of hardware resources on FPGA, our implementation is able to sign 15832 messages per second and verify 10524 signatures per second. In particular, the signing algorithm requires 68461 Look-Up Tables (LUTs), 86295 Flip-Flops (FFs), and the verification algorithm takes 61738 LUTs and 34963 FFs on Virtex 7 UltraScale+ FPGAs. In this article, experimental results for each Dilithium security level are provided and our VHDL-based implementation is compared with related High-Level Synthesis (HLS)-based implementations. Our solution is ca 114 times faster (in the signing algorithm) and requires less hardware resources.","PeriodicalId":417395,"journal":{"name":"Proceedings of the 16th International Conference on Availability, Reliability and Security","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133037747","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: 32

V2C: A Trust-Based Vehicle to Cloud Anomaly Detection Framework for Automotive Systems V2C:汽车系统基于信任的车辆到云异常检测框架

Proceedings of the 16th International Conference on Availability, Reliability and Security Pub Date : 2021-08-16 DOI: 10.1145/3465481.3465750

Thomas Rosenstatter, T. Olovsson, M. Almgren

{"title":"V2C: A Trust-Based Vehicle to Cloud Anomaly Detection Framework for Automotive Systems","authors":"Thomas Rosenstatter, T. Olovsson, M. Almgren","doi":"10.1145/3465481.3465750","DOIUrl":"https://doi.org/10.1145/3465481.3465750","url":null,"abstract":"Vehicles have become connected in many ways. They communicate with the cloud and will use Vehicle-to-Everything (V2X) communication to exchange warning messages and perform cooperative actions such as platooning. Vehicles have already been attacked and will become even more attractive targets due to their increasing connectivity, the amount of data they produce and their importance to our society. It is therefore crucial to provide cyber security measures to prevent and limit the impact of attacks. As it is problematic for a vehicle to reliably assess its own state when it is compromised, we investigate how vehicle trust can be used to identify compromised vehicles and how fleet-wide attacks can be detected at an early stage using cloud data. In our proposed V2C Anomaly Detection framework, peer vehicles assess each other based on their perceived behavior in traffic and V2X-enabled interactions, and upload these assessments to the cloud for analysis. This framework consists of four modules. For each module we define functional demands, interfaces and evaluate solutions proposed in literature allowing manufacturers and fleet owners to choose appropriate techniques. We detail attack scenarios where this type of framework is particularly useful in detecting and identifying potential attacks and failing software and hardware. Furthermore, we describe what basic vehicle data the cloud analysis can be based upon.","PeriodicalId":417395,"journal":{"name":"Proceedings of the 16th International Conference on Availability, Reliability and Security","volume":"23 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131593989","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

Privacy-Preserving Online Parking Based on Smart Contracts 基于智能合约的隐私保护在线停车

Proceedings of the 16th International Conference on Availability, Reliability and Security Pub Date : 2021-08-16 DOI: 10.1145/3465481.3470058

Petr Dzurenda, Carles Angles-Tafalla, Sara Ricci, L. Malina

引用次数: 3