Pub Date : 2023-06-29DOI: 10.48550/arXiv.2306.16652
K. Bagher, S. Cui, X. Yuan, C. Rudolph, X. Yi
Cloud platforms are widely adopted by many systems, such as time series processing systems, to store and process massive amounts of sensitive time series data. Unfortunately, several incidents have shown that cloud platforms are vulnerable to internal and external attacks that lead to critical data breaches. Adopting cryptographic protocols such as homomorphic encryption and secure multi-party computation adds high computational and network overhead to query operations. We present TimeClave, a fully oblivious in-enclave time series processing system: TimeClave leverages Intel SGX to support aggregate statistics on time series with minimal memory consumption inside the enclave. To hide the access pattern inside the enclave, we introduce a non-blocking read-optimised ORAM named RoORAM. TimeClave integrates RoORAM to obliviously and securely handle client queries with high performance. With an aggregation time interval of $10s$, $2^{14}$ summarised data blocks and 8 aggregate functions, TimeClave run point query in $0.03ms$ and a range query of 50 intervals in $0.46ms$. Compared to the ORAM baseline, TimeClave achieves lower query latency by up to $2.5times$ and up to $2times$ throughput, with up to 22K queries per second.
{"title":"TimeClave: Oblivious In-enclave Time series Processing System","authors":"K. Bagher, S. Cui, X. Yuan, C. Rudolph, X. Yi","doi":"10.48550/arXiv.2306.16652","DOIUrl":"https://doi.org/10.48550/arXiv.2306.16652","url":null,"abstract":"Cloud platforms are widely adopted by many systems, such as time series processing systems, to store and process massive amounts of sensitive time series data. Unfortunately, several incidents have shown that cloud platforms are vulnerable to internal and external attacks that lead to critical data breaches. Adopting cryptographic protocols such as homomorphic encryption and secure multi-party computation adds high computational and network overhead to query operations. We present TimeClave, a fully oblivious in-enclave time series processing system: TimeClave leverages Intel SGX to support aggregate statistics on time series with minimal memory consumption inside the enclave. To hide the access pattern inside the enclave, we introduce a non-blocking read-optimised ORAM named RoORAM. TimeClave integrates RoORAM to obliviously and securely handle client queries with high performance. With an aggregation time interval of $10s$, $2^{14}$ summarised data blocks and 8 aggregate functions, TimeClave run point query in $0.03ms$ and a range query of 50 intervals in $0.46ms$. Compared to the ORAM baseline, TimeClave achieves lower query latency by up to $2.5times$ and up to $2times$ throughput, with up to 22K queries per second.","PeriodicalId":244480,"journal":{"name":"International Conference on Information, Communications and Signal Processing","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123362295","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}
Passwords, a first line of defense against unauthorized access, must be secure and memorable. However, people often struggle to create secure passwords they can recall. To address this problem, we design Password inspiration by eXploring information (PiXi), a novel approach to nudge users towards creating secure passwords. PiXi is the first of its kind that employs a password creation nudge to support users in the task of generating a unique secure password themselves. PiXi prompts users to explore unusual information right before creating a password, to shake them out of their typical habits and thought processes, and to inspire them to create unique (and therefore stronger) passwords. PiXi's design aims to create an engaging, interactive, and effective nudge to improve secure password creation. We conducted a user study ($N=238$) to compare the efficacy of PiXi to typical password creation. Our findings indicate that PiXi's nudges do influence users' password choices such that passwords are significantly longer and more secure (less predictable and guessable).
{"title":"PiXi: Password Inspiration by Exploring Information","authors":"Shengqian Wang, Amirali Salehi-Abari, Julie Thorpe","doi":"10.48550/arXiv.2304.10728","DOIUrl":"https://doi.org/10.48550/arXiv.2304.10728","url":null,"abstract":"Passwords, a first line of defense against unauthorized access, must be secure and memorable. However, people often struggle to create secure passwords they can recall. To address this problem, we design Password inspiration by eXploring information (PiXi), a novel approach to nudge users towards creating secure passwords. PiXi is the first of its kind that employs a password creation nudge to support users in the task of generating a unique secure password themselves. PiXi prompts users to explore unusual information right before creating a password, to shake them out of their typical habits and thought processes, and to inspire them to create unique (and therefore stronger) passwords. PiXi's design aims to create an engaging, interactive, and effective nudge to improve secure password creation. We conducted a user study ($N=238$) to compare the efficacy of PiXi to typical password creation. Our findings indicate that PiXi's nudges do influence users' password choices such that passwords are significantly longer and more secure (less predictable and guessable).","PeriodicalId":244480,"journal":{"name":"International Conference on Information, Communications and Signal Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114996671","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 : 2020-09-16DOI: 10.1007/978-3-031-15777-6_22
Zhi Wang, Chaoge Liu, Xiang Cui, Jie Yin, Jiaxi Liu, Di Wu, Qixu Liu
{"title":"DeepC2: AI-Powered Covert Command and Control on OSNs","authors":"Zhi Wang, Chaoge Liu, Xiang Cui, Jie Yin, Jiaxi Liu, Di Wu, Qixu Liu","doi":"10.1007/978-3-031-15777-6_22","DOIUrl":"https://doi.org/10.1007/978-3-031-15777-6_22","url":null,"abstract":"","PeriodicalId":244480,"journal":{"name":"International Conference on Information, Communications and Signal Processing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134345949","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 : 2020-08-24DOI: 10.1007/978-3-030-61078-4_3
Erik Bergenholtz, E. Casalicchio, D. Ilie, Andrew Moss
{"title":"Detection of Metamorphic Malware Packers Using Multilayered LSTM Networks","authors":"Erik Bergenholtz, E. Casalicchio, D. Ilie, Andrew Moss","doi":"10.1007/978-3-030-61078-4_3","DOIUrl":"https://doi.org/10.1007/978-3-030-61078-4_3","url":null,"abstract":"","PeriodicalId":244480,"journal":{"name":"International Conference on Information, Communications and Signal Processing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126316713","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 : 2020-08-24DOI: 10.1007/978-3-030-61078-4_17
M. Fischlin, Felix Günther, Philip A. Muth
{"title":"Information-Theoretic Security of Cryptographic Channels","authors":"M. Fischlin, Felix Günther, Philip A. Muth","doi":"10.1007/978-3-030-61078-4_17","DOIUrl":"https://doi.org/10.1007/978-3-030-61078-4_17","url":null,"abstract":"","PeriodicalId":244480,"journal":{"name":"International Conference on Information, Communications and Signal Processing","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134303625","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 : 2020-08-24DOI: 10.1007/978-3-030-61078-4_1
J. Takahashi, Keiichi Okabe, Hiroki Itoh, X. Ngo, S. Guilley, R. Shrivastwa, M. Ahmed, Patrick Lejoly
{"title":"Machine Learning Based Hardware Trojan Detection Using Electromagnetic Emanation","authors":"J. Takahashi, Keiichi Okabe, Hiroki Itoh, X. Ngo, S. Guilley, R. Shrivastwa, M. Ahmed, Patrick Lejoly","doi":"10.1007/978-3-030-61078-4_1","DOIUrl":"https://doi.org/10.1007/978-3-030-61078-4_1","url":null,"abstract":"","PeriodicalId":244480,"journal":{"name":"International Conference on Information, Communications and Signal Processing","volume":"24 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123077752","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 : 2020-08-24DOI: 10.1007/978-3-030-61078-4_29
Zihan Yang, Bo Qin, Qianhong Wu, Wenchang Shi, Bin Liang
{"title":"Experimental Comparisons of Verifiable Delay Functions","authors":"Zihan Yang, Bo Qin, Qianhong Wu, Wenchang Shi, Bin Liang","doi":"10.1007/978-3-030-61078-4_29","DOIUrl":"https://doi.org/10.1007/978-3-030-61078-4_29","url":null,"abstract":"","PeriodicalId":244480,"journal":{"name":"International Conference on Information, Communications and Signal Processing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129552177","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 : 2020-08-20DOI: 10.1007/978-3-030-61078-4_4
Anisa Halimi, Erman Ayday
{"title":"Profile Matching Across Online Social Networks","authors":"Anisa Halimi, Erman Ayday","doi":"10.1007/978-3-030-61078-4_4","DOIUrl":"https://doi.org/10.1007/978-3-030-61078-4_4","url":null,"abstract":"","PeriodicalId":244480,"journal":{"name":"International Conference on Information, Communications and Signal Processing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127749351","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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