Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference最新文献

Exposed-mode of Wormhole Attack in Opportunistic Mobile Networks: Impact Study and Analysis 机会主义移动网络中暴露模式的虫洞攻击:影响研究与分析

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference Pub Date : 2023-06-14 DOI: 10.1145/3590777.3590781

S. Aslam, A. Altaweel, I. Kamel

{"title":"Exposed-mode of Wormhole Attack in Opportunistic Mobile Networks: Impact Study and Analysis","authors":"S. Aslam, A. Altaweel, I. Kamel","doi":"10.1145/3590777.3590781","DOIUrl":"https://doi.org/10.1145/3590777.3590781","url":null,"abstract":"Wormhole attack has exposed-mode (internal attack with exposed attacker nodes identities) and hidden-mode (external attack with hidden attacker nodes identities). In exposed-mode, the pair-wise connected attacker nodes fool the legitimate nodes by using a hidden link to route packets and yield high packet delivery ratio. As the packets reach the wormhole nodes, attackers can initiate traffic analysis, packet dropping, and/or packet modification attacks. This paper studies and analyzes the impact of the exposed-mode of wormhole attack in Opportunistic Mobile Networks (OMNs) and the parameters affecting it. The impacts of the exposed-mode of wormhole attack are analyzed using the amount of extra routed packets the attacker nodes will obtain. The attack was launched by varying different parameters (i.e., number of wormhole nodes, attack frequency, and attack duration) that influence its intensity against four main routing protocols in OMNs (i.e., Prophet, Spray and Wait, Epidemic, and First Contact). The simulation experiments employed two widely-used mobility traces (real-world and synthetic) in OMNs and were analyzed in terms of the most vulnerable routing protocol and the most influential attack parameter. We concluded that attackers can smartly overthrow safe communications in OMNs using deep analysis of routing mechanisms and nodes density.","PeriodicalId":231403,"journal":{"name":"Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117229372","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

CLOUDOSCOPE: Detecting Anti-Forensic Malware using Public Cloud Environments CLOUDOSCOPE:使用公有云环境检测反取证恶意软件

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference Pub Date : 2023-06-14 DOI: 10.1145/3590777.3590793

Mordechai Guri

{"title":"CLOUDOSCOPE: Detecting Anti-Forensic Malware using Public Cloud Environments","authors":"Mordechai Guri","doi":"10.1145/3590777.3590793","DOIUrl":"https://doi.org/10.1145/3590777.3590793","url":null,"abstract":"Many modern malware employs runtime anti-forensic techniques in order to evade detection. Anti-forensic tactics can be categorized as anti-virtualization (anti-VM), anti-debugging, anti-sandbox, and anti forensic-tools. The detection of such malware is challenging since they do not reveal their malicious behavior and are therefore considered benign. We present CLOUDOSCOPE, a novel architecture for detecting anti-forensic malware using the power of public cloud environments. The method we use involves running samples on bare metal machines, then running and monitoring them in multiple forensic environments deployed in the cloud. That includes virtual machines, debugging, sandboxes, and forensic environments. We identify anti-forensic behavior by comparing results in forensic and non-forensic environments. Anti-forensic malware would expose a difference between bare-metal, non-forensic, and virtualized forensic executions. Furthermore, our method enables the identification of the specific anti-forensic technique(s) used by the malware. We provide background on anti-forensic malware, present the architecture, design and implementation of CLOUDOSCOPE, and the evaluation of our system. Public cloud environments can be used to identify and detect stealthy, anti-forensic malware, as shown in our evaluation.","PeriodicalId":231403,"journal":{"name":"Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122728367","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: 0

Older adults and tablet computers: Adoption and the role of perceived threat of cyber attacks 老年人和平板电脑:网络攻击的采用和感知威胁的作用

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference Pub Date : 2023-06-14 DOI: 10.1145/3590777.3590814

Anže Mihelič, Igor Bernik, Simon L. R. Vrhovec

引用次数: 0

Digital safety alarms – Exploring the understandings of the cybersecurity practice in Norwegian municipalities 数字安全警报-探索对挪威市政当局网络安全实践的理解

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference Pub Date : 2023-06-14 DOI: 10.1145/3590777.3590798

Alvhild Skjelvik, Arnstein Vestad

引用次数: 0

Acceptance Factors and Obstacles for Cryptocurrency Adoption 加密货币采用的接受因素和障碍

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference Pub Date : 2023-06-14 DOI: 10.1145/3590777.3590782

Peter Hamm, Sebastian Pape, David Harborth

{"title":"Acceptance Factors and Obstacles for Cryptocurrency Adoption","authors":"Peter Hamm, Sebastian Pape, David Harborth","doi":"10.1145/3590777.3590782","DOIUrl":"https://doi.org/10.1145/3590777.3590782","url":null,"abstract":"In spite of all the hype, media attention, and explosion in market valuations, cryptocurrencies have so far failed to find wide acceptance as a means of payment. This has led to a wealth of literature investigating why cryptocurrencies such as Bitcoin failed to establish themselves widely. However, these investigations have generally focused on specific cryptocurrencies and did not highlight which features of cryptocurrencies help or hinder adoption. This paper helps close this gap by conducting a qualitative user study with 960 respondents representative of the German population, obtaining freeform answers on the main adoption factors as well as the main obstacles for cryptocurrencies from both existing and potential users. We identify 33 reasons for and against cryptocurrency adoption, distributed into financial, ideological, benefits-based, technical, acceptance-based, and security-based categories. The contribution of this paper is threefold: We go beyond positive reasons and explicitly consider obstacles to cryptocurrency adoption inside a unified framework. We also identify additional payment system features that differ between different cryptocurrencies and influence their adoption. Thirdly, we identify adoption factors based on perceptions and personalities rather than just measurable features. Therefore, this paper also adds to the ongoing systematization of cryptocurrencies in the current stream of literature on the topic.","PeriodicalId":231403,"journal":{"name":"Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133456161","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: 0

Analysing the Impact of Gender Classification on Age Estimation 性别分类对年龄估计的影响分析

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference Pub Date : 2023-06-14 DOI: 10.1145/3590777.3590813

Petra Grd, Ena Barčić, Igor Tomičić, Bogdan Okreša Đurić

引用次数: 0

Investigating the Availability of Child Sexual Abuse Materials in Dark Web Markets: Evidence Gathered and Lessons Learned 调查暗网市场中儿童性虐待材料的可用性:收集的证据和经验教训

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference Pub Date : 2023-06-14 DOI: 10.1145/3590777.3590812

Yichao Wang, Budi Arief, V. N. Franqueira, Anna Grace Coates, Caoilte Ó Ciardha

{"title":"Investigating the Availability of Child Sexual Abuse Materials in Dark Web Markets: Evidence Gathered and Lessons Learned","authors":"Yichao Wang, Budi Arief, V. N. Franqueira, Anna Grace Coates, Caoilte Ó Ciardha","doi":"10.1145/3590777.3590812","DOIUrl":"https://doi.org/10.1145/3590777.3590812","url":null,"abstract":"Child sexual exploitation and abuse (CSEA) and the associated distribution of child sexual abuse material (CSAM) are serious offences online and offline. They are exacerbated by the increased popularity of dark web markets, in which vendors and buyers can exchange CSAM while hiding their identities. The aim of this paper is to improve our understanding of the CSEA landscape in dark web markets. We reviewed and collated four groups of keywords (a total of 198) for the detection/discovery of potential CSAM on the dark web market. This allowed us to conduct a systematic data collection (i.e., scraping) on dark web markets containing CSAM to create a new text-based dataset and perform further analysis. We found that CSAM is more public in the Chinese market, but not in the mainstream English market. To illustrate this point, we detected 724 CSAM items in the two Chinese dark web markets studied, but none in the eight English markets. While the prices of these CSAM remain low, we found that there were 3,449 sales over the 44-week observation period, implying that CSAM has been commercialised to some extent. We also noticed that mainstream cloud-based data storage services were used for the distribution and sharing of CSAM. We hope that the findings presented in this paper can help relevant stakeholders to understand the CSAM landscape in the dark web market better, which in turn may be used to devise more effective countermeasures to combat CSEA and CSAM.","PeriodicalId":231403,"journal":{"name":"Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131357398","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: 0

ViSDM: A Liquid Democracy based Visual Data Marketplace for Sovereign Crowdsourcing Data Collection ViSDM:基于流动民主的可视化数据市场，用于主权众包数据收集

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference Pub Date : 2023-06-14 DOI: 10.1145/3590777.3590794

Venkata Satya Sai Ajay Daliparthi, Nurul Momen, K. Tutschku, Miguel de Prado

引用次数: 2

A Deep Learning-based Malware Traffic Classifier for 5G Networks Employing Protocol-Agnostic and PCAP-to-Embeddings Techniques 基于深度学习的5G网络恶意软件流量分类器，采用协议不可知和pcap -嵌入技术

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference Pub Date : 2023-06-14 DOI: 10.1145/3590777.3590807

Georgios Agrafiotis, Eftychia Makri, Antonios Lalas, K. Votis, D. Tzovaras, Nikolaos Tsampieris

引用次数: 0

Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis 基于子群发现和复杂网络分析的探索性和解释性网络入侵分析

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference Pub Date : 2023-06-14 DOI: 10.1145/3590777.3590803

Martin Atzmueller, Sophia Sylvester, R. Kanawati

引用次数: 0