Pub Date : 2022-09-08DOI: 10.48550/arXiv.2209.03679
Robert Cantaragiu, A. Michalas, E. Frimpong, Alexandros Bakas
Social networks such as Facebook (FB) and Instagram are known for tracking user online behaviour for commercial gain. To this day, there is practically no other way of achieving privacy in said platforms other than renouncing their use. However, many users are reluctant in doing so because of convenience or social and professional reasons. In this work, we propose a means of balancing convenience and privacy on FB through obfuscation. We have created MetaPriv, a tool based on simulating user interaction with FB. MetaPriv allows users to add noise interactions to their account so as to lead FB's profiling algorithms astray, and make them draw inaccurate profiles in relation to their interests and habits. To prove our tool's effectiveness, we ran extensive experiments on a dummy account and two existing user accounts. Our results showed that, by using our tool, users can achieve a higher degree of privacy in just a couple of weeks. We believe that MetaPriv can be further developed to accommodate other social media platforms and help users regain their privacy, while maintaining a reasonable level of convenience. To support open science and reproducible research, our source code is publicly available online.
{"title":"MetaPriv: Acting in Favor of Privacy on Social Media Platforms","authors":"Robert Cantaragiu, A. Michalas, E. Frimpong, Alexandros Bakas","doi":"10.48550/arXiv.2209.03679","DOIUrl":"https://doi.org/10.48550/arXiv.2209.03679","url":null,"abstract":"Social networks such as Facebook (FB) and Instagram are known for tracking user online behaviour for commercial gain. To this day, there is practically no other way of achieving privacy in said platforms other than renouncing their use. However, many users are reluctant in doing so because of convenience or social and professional reasons. In this work, we propose a means of balancing convenience and privacy on FB through obfuscation. We have created MetaPriv, a tool based on simulating user interaction with FB. MetaPriv allows users to add noise interactions to their account so as to lead FB's profiling algorithms astray, and make them draw inaccurate profiles in relation to their interests and habits. To prove our tool's effectiveness, we ran extensive experiments on a dummy account and two existing user accounts. Our results showed that, by using our tool, users can achieve a higher degree of privacy in just a couple of weeks. We believe that MetaPriv can be further developed to accommodate other social media platforms and help users regain their privacy, while maintaining a reasonable level of convenience. To support open science and reproducible research, our source code is publicly available online.","PeriodicalId":269657,"journal":{"name":"Security and Privacy in Communication Networks","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125642836","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}
Pub Date : 2022-06-24DOI: 10.48550/arXiv.2206.12236
Qi Song, Yongzheng Zhang, Shuhao Li
Cross-architecture binary similarity comparison is essential in many security applications. Recently, researchers have proposed learning-based approaches to improve comparison performance. They adopted a paradigm of instruction pre-training, individual binary encoding, and distance-based similarity comparison. However, instruction embeddings pre-trained on external code corpus are not universal in diverse real-world applications. And separately encoding cross-architecture binaries will accumulate the semantic gap of instruction sets, limiting the comparison accuracy. This paper proposes a novel cross-architecture binary similarity comparison approach with multi-relational instruction association graph. We associate mono-architecture instruction tokens with context relevance and cross-architecture tokens with potential semantic correlations from different perspectives. Then we exploit the relational graph convolutional network (R-GCN) to perform type-specific graph information propagation. Our approach can bridge the gap in the cross-architecture instruction representation spaces while avoiding the external pre-training workload. We conduct extensive experiments on basic block-level and function-level datasets to prove the superiority of our approach. Furthermore, evaluations on a large-scale real-world IoT malware reuse function collection show that our approach is valuable for identifying malware propagated on IoT devices of various architectures.
{"title":"Multi-relational Instruction Association Graph for Cross-architecture Binary Similarity Comparison","authors":"Qi Song, Yongzheng Zhang, Shuhao Li","doi":"10.48550/arXiv.2206.12236","DOIUrl":"https://doi.org/10.48550/arXiv.2206.12236","url":null,"abstract":"Cross-architecture binary similarity comparison is essential in many security applications. Recently, researchers have proposed learning-based approaches to improve comparison performance. They adopted a paradigm of instruction pre-training, individual binary encoding, and distance-based similarity comparison. However, instruction embeddings pre-trained on external code corpus are not universal in diverse real-world applications. And separately encoding cross-architecture binaries will accumulate the semantic gap of instruction sets, limiting the comparison accuracy. This paper proposes a novel cross-architecture binary similarity comparison approach with multi-relational instruction association graph. We associate mono-architecture instruction tokens with context relevance and cross-architecture tokens with potential semantic correlations from different perspectives. Then we exploit the relational graph convolutional network (R-GCN) to perform type-specific graph information propagation. Our approach can bridge the gap in the cross-architecture instruction representation spaces while avoiding the external pre-training workload. We conduct extensive experiments on basic block-level and function-level datasets to prove the superiority of our approach. Furthermore, evaluations on a large-scale real-world IoT malware reuse function collection show that our approach is valuable for identifying malware propagated on IoT devices of various architectures.","PeriodicalId":269657,"journal":{"name":"Security and Privacy in Communication Networks","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116850935","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}
Pub Date : 2022-04-06DOI: 10.1007/978-3-031-25538-0_3
Ehsan Aghaei, Xi Niu, W. Shadid, E. Al-Shaer
{"title":"SecureBERT: A Domain-Specific Language Model for Cybersecurity","authors":"Ehsan Aghaei, Xi Niu, W. Shadid, E. Al-Shaer","doi":"10.1007/978-3-031-25538-0_3","DOIUrl":"https://doi.org/10.1007/978-3-031-25538-0_3","url":null,"abstract":"","PeriodicalId":269657,"journal":{"name":"Security and Privacy in Communication Networks","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130525480","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}
Pub Date : 2021-07-18DOI: 10.1007/978-3-030-90022-9_6
Nikolay Ivanov, Qiben Yan
{"title":"System-Wide Security for Offline Payment Terminals","authors":"Nikolay Ivanov, Qiben Yan","doi":"10.1007/978-3-030-90022-9_6","DOIUrl":"https://doi.org/10.1007/978-3-030-90022-9_6","url":null,"abstract":"","PeriodicalId":269657,"journal":{"name":"Security and Privacy in Communication Networks","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124716344","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}
Pub Date : 2020-10-21DOI: 10.1007/978-3-030-63086-7_10
F. Rezaei, Shahrzad Naseri, Ittay Eyal, A. Houmansadr
{"title":"The Bitcoin Hunter: Detecting Bitcoin Traffic over Encrypted Channels","authors":"F. Rezaei, Shahrzad Naseri, Ittay Eyal, A. Houmansadr","doi":"10.1007/978-3-030-63086-7_10","DOIUrl":"https://doi.org/10.1007/978-3-030-63086-7_10","url":null,"abstract":"","PeriodicalId":269657,"journal":{"name":"Security and Privacy in Communication Networks","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115816726","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}
Pub Date : 2020-10-21DOI: 10.1007/978-3-030-63086-7_14
Zhifan Xu, M. Baykal-Gursoy
{"title":"A Cooperative Jamming Game in Wireless Networks Under Uncertainty","authors":"Zhifan Xu, M. Baykal-Gursoy","doi":"10.1007/978-3-030-63086-7_14","DOIUrl":"https://doi.org/10.1007/978-3-030-63086-7_14","url":null,"abstract":"","PeriodicalId":269657,"journal":{"name":"Security and Privacy in Communication Networks","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133677849","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}
Pub Date : 2020-09-24DOI: 10.1007/978-3-030-63086-7_2
Ehsan Aghaei, W. Shadid, E. Al-Shaer
{"title":"ThreatZoom: CVE2CWE using Hierarchical Neural Network","authors":"Ehsan Aghaei, W. Shadid, E. Al-Shaer","doi":"10.1007/978-3-030-63086-7_2","DOIUrl":"https://doi.org/10.1007/978-3-030-63086-7_2","url":null,"abstract":"","PeriodicalId":269657,"journal":{"name":"Security and Privacy in Communication Networks","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124674572","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}
Pub Date : 2020-06-28DOI: 10.1007/978-3-030-63086-7_18
A. Ali, Birhanu Eshete
{"title":"Best-Effort Adversarial Approximation of Black-Box Malware Classifiers","authors":"A. Ali, Birhanu Eshete","doi":"10.1007/978-3-030-63086-7_18","DOIUrl":"https://doi.org/10.1007/978-3-030-63086-7_18","url":null,"abstract":"","PeriodicalId":269657,"journal":{"name":"Security and Privacy in Communication Networks","volume":"15 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113957107","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}
Pub Date : 2019-10-23DOI: 10.1007/978-3-030-37231-6_29
M. Narouei, Hassan Takabi
{"title":"A Nature-Inspired Framework for Optimal Mining of Attribute-Based Access Control Policies","authors":"M. Narouei, Hassan Takabi","doi":"10.1007/978-3-030-37231-6_29","DOIUrl":"https://doi.org/10.1007/978-3-030-37231-6_29","url":null,"abstract":"","PeriodicalId":269657,"journal":{"name":"Security and Privacy in Communication Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125141832","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}
{"title":"An Enhanced Verifiable Inter-domain Routing Protocol Based on Blockchain","authors":"Yaping Liu, Shuo Zhang, Haojin Zhu, P. Wan, Lixin Gao, Yaoxue Zhang","doi":"10.1007/978-3-030-37228-6_4","DOIUrl":"https://doi.org/10.1007/978-3-030-37228-6_4","url":null,"abstract":"","PeriodicalId":269657,"journal":{"name":"Security and Privacy in Communication Networks","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116878411","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}
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