2019 21st International Conference on Advanced Communication Technology (ICACT)最新文献_第10页

Personal Data Privacy Challenges of the Fourth Industrial Revolution 第四次工业革命对个人数据隐私的挑战

2019 21st International Conference on Advanced Communication Technology (ICACT) Pub Date : 2019-02-01 DOI: 10.23919/ICACT.2019.8701932

Md. Mehedi Hassan Onik, Chul-Soo Kim, Jinhong Yang

{"title":"Personal Data Privacy Challenges of the Fourth Industrial Revolution","authors":"Md. Mehedi Hassan Onik, Chul-Soo Kim, Jinhong Yang","doi":"10.23919/ICACT.2019.8701932","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8701932","url":null,"abstract":"Fourth industrial revolution (Industry 4.0) promises a connected and smart manufacturing system where internet, machine (physical system) and humans lumped together. Unlike other industrial revolutions, this industrial revolution deals more with information. Device to device (D2D) and Machine to Machine (M2M) communications often generate, preserve and share private information. Personal data has already turned out to be a new commodity and currently identified as a ‘new oil’ or ‘new domain of warfare’. The more information gets generated and accumulated, the more extensive and risky the personal information becomes. Although privacy and security are often bundled together, they are different. This study investigates the privacy attack surfaces of key Industry 4.0 components (i.e. Cyber-Physical System, Artificial Intelligence, additive manufacturing, autonomous vehicle, big data, cloud computing, internet of things, distributed ledger etc). Multi-dimensional privacy challenges, data breaching incidents, regulations and need of a contextual privacy awareness is discussed in this study. Finally, this work elaborates the risk of Personally Identifiable Information (PII) leaking in the era of industry 4.0.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116412300","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: 27

Log Layering Based on Natural Language Processing 基于自然语言处理的日志分层

2019 21st International Conference on Advanced Communication Technology (ICACT) Pub Date : 2019-02-01 DOI: 10.23919/ICACT.2019.8702019

Hanji Shen, Chun Long, Wei Wan, Jun Li, Yakui Qin, Yuhao Fu, Xiaofan Song

{"title":"Log Layering Based on Natural Language Processing","authors":"Hanji Shen, Chun Long, Wei Wan, Jun Li, Yakui Qin, Yuhao Fu, Xiaofan Song","doi":"10.23919/ICACT.2019.8702019","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8702019","url":null,"abstract":"With the increasing number and variety of logs, the requirement of storage space is growing rapidly. Meantime, the speed and accuracy of querying in massive logs are becoming increasingly important. Although the well-built distributed storage technique solves the problem of mass storage and fast query, the cost is too high. As logs are created as the method to trace the historical operation, the requirement for query rate is not high. To balance the storage cost and query rate, this paper proposes a real-time log layering storage technique based on natural language processing. According to the characteristics of the log data, this technique is combined with the text language processing technique. It compresses the real-time log data effectively while considering the query efficiency. Firstly, the method extracts the feature of each log that flows in, which will be the type name of the log. Then, the method performs word segmentation on the log and encodes each word to store the key value pairs. Finally, the key value pairs of the log are stored in the memory, and the code of each log is stored in the database. Experiments show that this method can ensure the integrity of the data effectively, decompression time dropped to 40%, compression rate down to 35%.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124700924","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: 2

A Resource Saving MAC/IP Handling Method for Low-Power Wireless TCP Packet Network 低功耗无线TCP分组网络中节省资源的MAC/IP处理方法

2019 21st International Conference on Advanced Communication Technology (ICACT) Pub Date : 2019-02-01 DOI: 10.23919/ICACT.2019.8701905

Jong-Beom Kim, Jae-Woo Ahn, J. O. Kim, S. Choi

引用次数: 0

Power Optimization for Energy Efficiency in Cell-Free Massive MIMO with ZF Receiver 基于ZF接收机的无单元大规模MIMO能效的功率优化

2019 21st International Conference on Advanced Communication Technology (ICACT) Pub Date : 2019-02-01 DOI: 10.23919/ICACT.2019.8702035

Yao Zhang, Haotong Cao, Meng Zhou, Longxiang Yang

引用次数: 16

Counterfeit Fingerprint Detection of Outbound HTTP Traffic with Recurrent Neural Network 基于递归神经网络的出境HTTP流量伪造指纹检测

2019 21st International Conference on Advanced Communication Technology (ICACT) Pub Date : 2019-02-01 DOI: 10.23919/ICACT.2019.8701951

Chi-Kuan Chiu, Te-En Wei, Hsiao-Hsien Chang, Ching-Hao Mao

{"title":"Counterfeit Fingerprint Detection of Outbound HTTP Traffic with Recurrent Neural Network","authors":"Chi-Kuan Chiu, Te-En Wei, Hsiao-Hsien Chang, Ching-Hao Mao","doi":"10.23919/ICACT.2019.8701951","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8701951","url":null,"abstract":"Most of malwares usually hide their malicious activities into HTTP protocol, such as communicating with the C&C server or accessing some malicious webpages. The previous detection system is mainly based on the blacklist. With the advancement of technology, there are many ways can easily available to evade detection system nowadays, e.g., spoofing the HTTP headers. However, the stealthiest malware still needs to communicate with the destination point. This paper aims to provide a detection system to detect these stealthily malicious activities. Consider machine-learning classifiers with manually handled features have been widely used in malicious URL detection. We propose an end-to-end deep learning framework to learn the URL embedding for application classifier from URL string. We apply the Recurrent Neural Network (RNN) to effectively keep the semantic meaning and sequential patterns in URL strings. The proposed approach is evaluated with real-world data from technology enterprise’s network and compare the performance with the state-of-the-art approach. The result shows that our approach achieves the accuracy rate to 99%, and even the counterfeit fingerprint’s detection reaches up to 100% while the comparison approach failed with the same scenario.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125287715","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

Mathematical Model for Bit-error-rate of a Spread-Spectrum System 扩频系统误码率的数学模型

2019 21st International Conference on Advanced Communication Technology (ICACT) Pub Date : 2019-02-01 DOI: 10.23919/ICACT.2019.8701934

O. Wojuola

引用次数: 0

Cross-correlation index and multiple-access performance of even-degree Gold codes 偶度金码的互相关指标与多址性能

2019 21st International Conference on Advanced Communication Technology (ICACT) Pub Date : 2019-02-01 DOI: 10.23919/ICACT.2019.8702020

O. Wojuola

引用次数: 0

A PDSI-based Online Fault Configuration Approach for Communication Network in Power Grid Simulation 电网仿真中基于pdsi的通信网络在线故障组态方法

2019 21st International Conference on Advanced Communication Technology (ICACT) Pub Date : 2019-02-01 DOI: 10.23919/ICACT.2019.8701924

hao-Tung Yang, Jianlu Wang, Xiang Gao, Huibo Li, D. Kim, Peng Gong

引用次数: 0

PUE or GPUE: A Carbon-Aware Metric for Data Centers PUE或GPUE:数据中心的碳感知度量

2019 21st International Conference on Advanced Communication Technology (ICACT) Pub Date : 2019-02-01 DOI: 10.23919/ICACT.2019.8701895

F. Hazemi, A. F. Y. Mohammed, Lemi Isaac Yoseke Laku, Rayan Alanazi

引用次数: 3

RECSRF: Novel Technique to Evaluate Program Security using Dynamic Disassembly of Machine Instructions 基于机器指令动态拆解的程序安全性评估新技术

2019 21st International Conference on Advanced Communication Technology (ICACT) Pub Date : 2019-02-01 DOI: 10.23919/ICACT.2019.8701914

Asanga Wanniarachchi, C. Gamage

{"title":"RECSRF: Novel Technique to Evaluate Program Security using Dynamic Disassembly of Machine Instructions","authors":"Asanga Wanniarachchi, C. Gamage","doi":"10.23919/ICACT.2019.8701914","DOIUrl":"https://doi.org/10.23919/ICACT.2019.8701914","url":null,"abstract":"Modern software systems have nearly an uncontrolled growth in complex requirements that is fueled by the need to interact with multiple other complex systems. While some of the complexity increases are due to activities such as bug fixes which are unavoidable, other activities such as expanding and enhancing functionality of a software system becomes a risky endeavor to undertake with respect to security as responding to the potential vulnerabilities due to complexity increases require scarce resources including technical expertise and time. This paper introduces RECSRF; a novel framework to quantitatively evaluate the security of an execution in line with the security risk impact it makes over the particular microprocessor on which it executes. RECSRF consists of two components; a novel concept called The Run-time Execution Complexity (REC) of a program execution, which evaluates the trade-off between performance vs. security, while adhering to Control Flow Integrity (CFI) of programs, and an information theoretic technique to approximate the Security Risk Factor (SRF), which approximates the risk of a particular execution by analyzing dynamically disassembled machine instructions of a particular microprocessor. The RECSRF value allows software designers to select the most secure resource combination among a given set of resources, and software implementers to decide whether to proceed or not with a software change. The method can also be used to detect control flow hijacks at runtime by using it as an application level intrusion detection mechanism which allows transforming the same to an application level intrusion preventer upon successful implementation.","PeriodicalId":226261,"journal":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130223948","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