2019 2nd International Conference on Data Intelligence and Security (ICDIS)最新文献_第2页

Mining Survey Data 采矿调查数据

2019 2nd International Conference on Data Intelligence and Security (ICDIS) Pub Date : 2019-06-01 DOI: 10.1109/ICDIS.2019.00037

H. Lei, M. Quweider, Liyu Zhang, Fitratullah Khan

引用次数: 2

Detection of Tor Traffic Hiding Under Obfs4 Protocol Based on Two-Level Filtering 基于两级过滤的Obfs4协议下Tor流量隐藏检测

2019 2nd International Conference on Data Intelligence and Security (ICDIS) Pub Date : 2019-06-01 DOI: 10.1109/ICDIS.2019.00036

Yongzhong He, Liping Hu, Ruimei Gao

{"title":"Detection of Tor Traffic Hiding Under Obfs4 Protocol Based on Two-Level Filtering","authors":"Yongzhong He, Liping Hu, Ruimei Gao","doi":"10.1109/ICDIS.2019.00036","DOIUrl":"https://doi.org/10.1109/ICDIS.2019.00036","url":null,"abstract":"Tor (The second generation Onion Router) is the most popular anonymous communication network. In order to protect Tor user from traffic analysis attack, many obfuscation techniques are adopted and Obfs4 is one of the states of art techniques used in Tor. It is very hard to detect the Tor traffic camouflaged under Obfs4, especially in the real world when there is a large volume of various traffic, because of random padding and randomization of time sequence. In this paper, we propose a novel scheme for Obfs4 traffic detection based on two-level filtering. We sequentially utilize coarse-grained fast filtering and fine-grained accurate identification to achieve high-precision, real-time recognition of Obfs4 traffic. In the coarse-grained filtering phase, we use the randomness detection algorithm to detect the randomness of the handshake packet payload in the communication and use the timing sequence characteristics of the packet in the handshake process to remove other interference traffic. In the fine-grained identification phase, we analyze its statistical feature on a large number of Obfs4 traffic and use the classification algorithms to identify the Obfs4 traffic. We train and test with different classifiers. The experiments show that the accuracy for identifying Obfs4 is above 99% when using the SVM (Support Vector Machine) algorithm, which indicates that Obfs4 cannot effectively counteract traffic analysis attacks in practical applications.","PeriodicalId":181673,"journal":{"name":"2019 2nd International Conference on Data Intelligence and Security (ICDIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129055263","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: 12

Using Bro with a Simulation Model to Detect Cyber-Physical Attacks in a Nuclear Reactor 利用Bro和仿真模型检测核反应堆中的网络物理攻击

2019 2nd International Conference on Data Intelligence and Security (ICDIS) Pub Date : 2019-06-01 DOI: 10.1109/ICDIS.2019.00011

Zachary Hill, J. Hale, M. Papa, P. Hawrylak

引用次数: 3

[Copyright notice] (版权)

2019 2nd International Conference on Data Intelligence and Security (ICDIS) Pub Date : 2019-06-01 DOI: 10.1109/icdis.2019.00003

引用次数: 0

An Experimental Study of Multi-Layer Multi-Valued Neural Network 多层多值神经网络的实验研究

2019 2nd International Conference on Data Intelligence and Security (ICDIS) Pub Date : 2019-06-01 DOI: 10.1109/ICDIS.2019.00043

J. Bassey, Xiangfang Li, Lijun Qian

引用次数: 2

Towards Adaptive Replication for Hot/Cold Blocks in HDFS using MemCached 使用MemCached实现HDFS热/冷块的自适应复制

2019 2nd International Conference on Data Intelligence and Security (ICDIS) Pub Date : 2019-06-01 DOI: 10.1109/ICDIS.2019.00035

Pinchao Liu, Adnan Maruf, F. Yusuf, Labiba Jahan, Hailu Xu, Boyuan Guan, Liting Hu, S. S. Iyengar

{"title":"Towards Adaptive Replication for Hot/Cold Blocks in HDFS using MemCached","authors":"Pinchao Liu, Adnan Maruf, F. Yusuf, Labiba Jahan, Hailu Xu, Boyuan Guan, Liting Hu, S. S. Iyengar","doi":"10.1109/ICDIS.2019.00035","DOIUrl":"https://doi.org/10.1109/ICDIS.2019.00035","url":null,"abstract":"With the advancement of ever-growing online services, distributed Big Data storage i.e. Hadoop, Dryad gained much more attention than ever and the fundamental requirements like fault tolerance and data availability become the concern for these platforms. Data replication policies in Big Data applications are shifting towards dynamic approaches based on the popularity of files. Formulation of dynamic replication factor paved the way of solving the issues generated by existing data contention in hotspots and ensuring timely data availability. But from the empirical observations, it can be deduced that popularity of files is temporal rather than perpetual in nature and, after a certain period, content's popularity ceases most of the time which introduces the I/O bottleneck of updating replication in the disk. To handle such temporal skewed popularity of contents, we propose a dynamic data replication toolset using the power of in-memory processing by integrating MemCached server into Hadoop for getting improved performance. We compare the proposed algorithm with the traditional infrastructure and vanilla memory algorithm, as the evidence from the experimental results, the proposed design performs better i.e throughput and execution period.","PeriodicalId":181673,"journal":{"name":"2019 2nd International Conference on Data Intelligence and Security (ICDIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126171275","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

Identifying Users' Concerns in Lodging Sharing Economy Using Unsupervised Machine Learning Approach 利用无监督机器学习方法识别住宿共享经济中用户关注的问题

2019 2nd International Conference on Data Intelligence and Security (ICDIS) Pub Date : 2019-06-01 DOI: 10.1109/ICDIS.2019.00031

M. Al-Ramahi, Ali Ahmed

引用次数: 1

Energy Depletion Attack in Low Power and Lossy Networks: Analysis and Defenses 低功耗和有损网络中的能量损耗攻击:分析与防御

2019 2nd International Conference on Data Intelligence and Security (ICDIS) Pub Date : 2019-06-01 DOI: 10.1109/ICDIS.2019.00010

Cong Pu, Bryan N. Groves

{"title":"Energy Depletion Attack in Low Power and Lossy Networks: Analysis and Defenses","authors":"Cong Pu, Bryan N. Groves","doi":"10.1109/ICDIS.2019.00010","DOIUrl":"https://doi.org/10.1109/ICDIS.2019.00010","url":null,"abstract":"With increasingly popular computing devices endowed with sensing and communicating capabilities, low power and lossy networks (LLNs) are rapidly emerging as an important part of ubiquitous computing and communication infrastructure. In order to support the vision of Internet-of-Things (IoT) and its applications, a novel routing protocol for low power and lossy networks, also referred to as RPL, has been proposed to provide efficient and reliable communication and enable the integration of resource-constrained devices into the Internet. However, due to the shared wireless medium, the lack of physical protection, and instinctive resource constraints, RPL-based LLNs are undeniably vulnerable to various Denial-of-Service (DoS) attacks. In this paper, we propose a misbehavior-aware detection scheme, called MAD, against energy depletion attack in RPL-based LLNs, where a malicious node intentionally generates and sends a large number of packets to legitimate node to excessively consume the energy resource of intermediate nodes located along the forwarding path, and finally makes the resource-constrained network suffer from denial of service. In the MAD, each node maintains a count of the number of received packets from its child node within a specific time window, and then compares the count with a dynamically calculated threshold to detect potential energy depletion attack. We conduct extensive simulation experiments for performance evaluation and comparison with the original RPL with and without adversary, respectively. The simulation results show that the proposed scheme is a viable approach against energy depletion attack in RPL-based LLNs.","PeriodicalId":181673,"journal":{"name":"2019 2nd International Conference on Data Intelligence and Security (ICDIS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134531689","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: 11

Nash Equilibrium of Multiple, Non-Uniform Bitcoin Block Withholding Attackers 多个非均匀比特币区块扣留攻击者的纳什均衡

2019 2nd International Conference on Data Intelligence and Security (ICDIS) Pub Date : 2019-06-01 DOI: 10.1109/ICDIS.2019.00029

S. Elliott

{"title":"Nash Equilibrium of Multiple, Non-Uniform Bitcoin Block Withholding Attackers","authors":"S. Elliott","doi":"10.1109/ICDIS.2019.00029","DOIUrl":"https://doi.org/10.1109/ICDIS.2019.00029","url":null,"abstract":"This research analyzes a seemingly malicious behavior known as a block withholding (BWH) attack between pools of cryptocurrency miners in Bitcoin-like systems featuring blockchain distributed databases. This work updates and builds on a seminal paper, The Miner's Dilemma, which studied a simplified scenario and showed that a BWH attack can be rational behavior that is profitable for the attacker. The new research presented here provides an in-depth profit analysis of a more complex and realistic BWH attack scenario, which includes mutual attacks between multiple, non-uniform Bitcoin mining pools. As a result of mathematical analysis and MATLAB modeling, this paper illustrates the Nash equilibrium conditions of a system of independent mining pools with varied mining rates and computes the equilibrium rates of mutual BWH attack. The analysis method quantifies the additional profit the largest pools extract from the system at the expense of the smaller pools. The results indicate that while the presence of BWH is a net negative for smaller pools, they must participate in BWH to maximize their remaining profits, and the results quantify the attack rates the smaller pools must maintain. Also, the smallest pools maximize profit by not attacking at all-that is, retaliation is not a rational move for them.","PeriodicalId":181673,"journal":{"name":"2019 2nd International Conference on Data Intelligence and Security (ICDIS)","volume":"153 6S 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115981583","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

Automatic Identification of Critical Digital Assets 关键数字资产的自动识别

2019 2nd International Conference on Data Intelligence and Security (ICDIS) Pub Date : 2019-06-01 DOI: 10.1109/ICDIS.2019.00040

Jonathan West, J. Hale, M. Papa, P. Hawrylak

引用次数: 5