2021 IEEE Conference on Dependable and Secure Computing (DSC)最新文献_第5页

Highly Efficient Anonymous IoT Authentication using Composite Hashing 使用复合哈希的高效匿名物联网身份验证

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346263

H. Chien

引用次数: 5

Secure Outsourced Private Set Intersection with Linear Complexity 具有线性复杂度的安全外包私有集交集

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346230

Sumit Kumar Debnath, K. Sakurai, Kunal Dey, Nibedita Kundu

引用次数: 2

A Distributed Ledger Management Mechanism for Storing and Selling Private Data 存储和销售私有数据的分布式账本管理机制

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346258

Sabyasachi Dutta, Arinjita Paul, Rocki H. Ozaki, C. Rangan, K. Sakurai

引用次数: 0

On the Security of Permissionless Blockchain Systems: Challenges and Research Perspective 关于无许可区块链系统的安全性:挑战和研究视角

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346243

Hao Wang, Chunpeng Ge, Zhe Liu

{"title":"On the Security of Permissionless Blockchain Systems: Challenges and Research Perspective","authors":"Hao Wang, Chunpeng Ge, Zhe Liu","doi":"10.1109/DSC49826.2021.9346243","DOIUrl":"https://doi.org/10.1109/DSC49826.2021.9346243","url":null,"abstract":"Blockchain technology enables global mutually trustless participants to reach a consensus on the final state of permissionless distributed and decentralized ledgers. Due to its properties of openness, transparency, irreversibility, and credibility, many systems have been built based on blockchains' structure, such as Bitcoin and Ethereum. With the wide application of blockchains, however, many security problems still exist in blockchains and there have been many malicious attacks against blockchain systems. Although these attacks have been proposed, there lacks a systematic exploration of how these attacks have been conducted and what underlying relationship they have. In this paper, we firstly present and summarize several current attacks on blockchains in three aspects: system deficiency attacks, mining attacks, and network-level attacks. Secondly, we conduct a systematic analysis and evaluation of the possibility of these attacks occurring on major blockchain platforms. Finally, we motivate some research perspectives and challenges for blockchain system security and highlight some potential solutions to these problems.","PeriodicalId":184504,"journal":{"name":"2021 IEEE Conference on Dependable and Secure Computing (DSC)","volume":"383 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134211113","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

Designated Verifier Signature Transformation: A New Framework for One-Time Delegating Verifiability 指定验证者签名转换:一次性授权验证的新框架

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346244

Jian-Feng Lin, Jun-Rui Wang, Che-Chia Chang, Yu-Chi Chen

引用次数: 0

BDF-SDN: A Big Data Framework for DDoS Attack Detection in Large-Scale SDN-Based Cloud BDF-SDN:大规模sdn云环境下DDoS攻击检测的大数据框架

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346269

Phuc Trinh Dinh, Minho Park

{"title":"BDF-SDN: A Big Data Framework for DDoS Attack Detection in Large-Scale SDN-Based Cloud","authors":"Phuc Trinh Dinh, Minho Park","doi":"10.1109/DSC49826.2021.9346269","DOIUrl":"https://doi.org/10.1109/DSC49826.2021.9346269","url":null,"abstract":"Software-defined networking (SDN) nowadays is extensively being used in a variety of practical settings, provides a new way to manage networks by separating the data plane from its control plane. However, SDN is particularly vulnerable to Distributed Denial of Service (DDoS) attacks because of its centralized control logic. Many studies have been proposed to tackle DDoS attacks in an SDN design using machine-learning-based schemes; however, these feature-based detection schemes are highly resource-intensive and they are unable to perform reliably in such a large-scale SDN network where a massive amount of traffic data is generated from both control and data planes. This can deplete computing resources, degrade network performance, or even shut down the network systems owing to being exhausting resources. To address the above challenges, this paper proposes a big data framework to overcome traditional data processing limitations and to exploit distributed resources effectively for the most compute-intensive tasks such as DDoS attack detection using machine learning techniques, etc. We demonstrate the robustness, scalability, and effectiveness of our framework through practical experiments.","PeriodicalId":184504,"journal":{"name":"2021 IEEE Conference on Dependable and Secure Computing (DSC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116405497","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: 5

Smart Markers in Smart Contracts: Enabling Multiway Branching and Merging in Blockchain for Decentralized Runtime Verification 智能合约中的智能标记:在区块链中启用多路分支和合并以进行分散的运行时验证

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2021-01-30 DOI: 10.1109/DSC49826.2021.9346270

Tieming Geng, L. Njilla, Chin-Tser Huang

{"title":"Smart Markers in Smart Contracts: Enabling Multiway Branching and Merging in Blockchain for Decentralized Runtime Verification","authors":"Tieming Geng, L. Njilla, Chin-Tser Huang","doi":"10.1109/DSC49826.2021.9346270","DOIUrl":"https://doi.org/10.1109/DSC49826.2021.9346270","url":null,"abstract":"The increasing complexity of modern hardware and software platform along with the imperative assurance on stability deems runtime verification of task fulfillment necessary in distributed systems. Distributing the burden of a central verification monitor to individual devices could improve the efficiency. Our previous work shows the possibility of achieving decentralized runtime verification by incorporating some mechanisms of the blockchain technology for locating the accountability when error occurs. However, traditional blockchain technology disallows branching and hence does not support verification of tasks which involves multiway dependencies. In this paper, we introduce a novel approach of smart marker that can be included in a blockchain to enable multiway branching and merging in order to verify the fulfillment of tasks that involve one-to-many and many-to-one dependencies. The design of smart marker satisfies three requirements of recognizability, compatibility, and authenticability. We implement a prototype of the smart marker scheme and analyze its performance.","PeriodicalId":184504,"journal":{"name":"2021 IEEE Conference on Dependable and Secure Computing (DSC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131610198","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: 4

On the Construction of a Post-Quantum Blockchain 后量子b区块链的构建

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2020-12-31 DOI: 10.1109/DSC49826.2021.9346253

Jiahui Chen, Wensheng Gan, Muchuang Hu, Chien‐Ming Chen

引用次数: 29

DualNet: Locate Then Detect Effective Payload with Deep Attention Network DualNet:定位和检测有效载荷与深度关注网络

2021 IEEE Conference on Dependable and Secure Computing (DSC) Pub Date : 2020-10-23 DOI: 10.1109/DSC49826.2021.9346261

Shiyi Yang, Peilun Wu, Hui Guo

{"title":"DualNet: Locate Then Detect Effective Payload with Deep Attention Network","authors":"Shiyi Yang, Peilun Wu, Hui Guo","doi":"10.1109/DSC49826.2021.9346261","DOIUrl":"https://doi.org/10.1109/DSC49826.2021.9346261","url":null,"abstract":"Network intrusion detection (NID) is an essential defense strategy that is used to discover the trace of suspicious user behaviour in large-scale cyberspace, and machine learning (ML), due to its capability of automation and intelligence, has been gradually adopted as a mainstream hunting method in recent years. However, traditional ML based network intrusion detection systems (NIDSs) are not effective to recognize unknown threats and their high detection rate often comes with the cost of high false alarms, which leads to the problem of alarm fatigue. To address the above problems, in this paper, we propose a novel neural network based detection system, DualNet, which is constructed with a general feature extraction stage and a crucial feature learning stage. DualNet can rapidly reuse the spatial-temporal features in accordance with their importance to facilitate the entire learning process and simultaneously mitigate several optimization problems occurred in deep learning (DL). We evaluate the DualNet on two benchmark cyber attack datasets, NSL-KDD and UNSW-NB15. Our experiment shows that DualNet outperforms classical ML based NIDSs and is more effective than existing DL methods for NID in terms of accuracy, detection rate and false alarm rate.","PeriodicalId":184504,"journal":{"name":"2021 IEEE Conference on Dependable and Secure Computing (DSC)","volume":"7 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114026163","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: 8