DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International...最新文献_第5页

C3-Sex: a Chatbot to Chase Cyber Perverts 性:一个追逐网络变态的聊天机器人

DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International... Pub Date : 2019-01-01 DOI: 10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00024

Jossie Murcia Triviño, Sebastián Moreno Rodríguez, D. D. López, Félix Gómez Mármol

{"title":"C3-Sex: a Chatbot to Chase Cyber Perverts","authors":"Jossie Murcia Triviño, Sebastián Moreno Rodríguez, D. D. López, Félix Gómez Mármol","doi":"10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00024","DOIUrl":"https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00024","url":null,"abstract":"Amongst the myriad of applications of Natural Language Processing (NLP), assisting Law Enforcement Agencies (LEA) in chasing cyber criminals is one of the most recent and promising ones. The paper at hand proposes C^3-Sex, a smart chatbot to interact with suspects in order to profile their interest regarding a given topic. This solution is based on our Artificial Conversational Entity (ACE) that connects to different online chat services to start a conversation regarding a specific matter, in our case child pornography, as this is one sensitive sexual crime that requires special efforts and contributions to be tackled. The ACE was designed using generative and rule-based models in charge of generating the posts and replies constituting the conversation from the chatbot side. The proposed solution also includes a module to analyze the conversations performed by the chatbot and to classify the suspects into three different profiles (indifferent, interested and pervert) according to the responses that they provide in the conversation. Exhaustive experiments were conducted obtaining an initial amount of 320 suspect chats from Omegle, which after filtering were reduced to 35 useful chats, that were classified by C^3-Sex as 26 indifferent, 4 interested and 5 pervert individuals.","PeriodicalId":92346,"journal":{"name":"DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International...","volume":"6 1","pages":"50-57"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83708419","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

DYCUSBoost: Adaboost-Based Imbalanced Learning Using Dynamic Clustering and Undersampling DYCUSBoost:基于adaboost的不平衡学习，使用动态聚类和欠采样

DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International... Pub Date : 2018-01-01 DOI: 10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00045

Lingchi Chen, Xiaoheng Deng, Hai-lan Shen, Congxu Zhu, L-C. Chang

引用次数: 0

Intelligent Perioperative System: Towards Real-time Big Data Analytics in Surgery Risk Assessment. 智能围手术期系统:面向手术风险评估的实时大数据分析。

DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International... Pub Date : 2017-11-01 DOI: 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.201

Zheng Feng, Rajendra Rana Bhat, Xiaoyong Yuan, Daniel Freeman, Tezcan Baslanti, Azra Bihorac, Xiaolin Li

{"title":"Intelligent Perioperative System: Towards Real-time Big Data Analytics in Surgery Risk Assessment.","authors":"Zheng Feng, Rajendra Rana Bhat, Xiaoyong Yuan, Daniel Freeman, Tezcan Baslanti, Azra Bihorac, Xiaolin Li","doi":"10.1109/DASC-PICom-DataCom-CyberSciTec.2017.201","DOIUrl":"https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.201","url":null,"abstract":"<p><p>Surgery risk assessment is an effective tool for physicians to manage the treatment of patients, but most current research projects fall short in providing a comprehensive platform to evaluate the patients' surgery risk in terms of different complications. The recent evolution of big data analysis techniques makes it possible to develop a real-time platform to dynamically analyze the surgery risk from large-scale patients information. In this paper, we propose the Intelligent Perioperative System (IPS), a real-time system that assesses the risk of postoperative complications (PC) and dynamically interacts with physicians to improve the predictive results. In order to process large volume patients data in real-time, we design the system by integrating several big data computing and storage frameworks with the high through-output streaming data processing components. We also implement a system prototype along with the visualization results to show the feasibility of system design.</p>","PeriodicalId":92346,"journal":{"name":"DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International...","volume":"2017 ","pages":"1254-1259"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.201","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36539181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

A novel UL power control scheme for a digital cellular repeater 一种新的数字蜂窝中继器UL功率控制方案

DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International... Pub Date : 2017-08-01 DOI: 10.1109/DESEC.2017.8073866

Yung-Ting Lee, Chunn-Yenn Lin, Ming-Jhou Wang

{"title":"A novel UL power control scheme for a digital cellular repeater","authors":"Yung-Ting Lee, Chunn-Yenn Lin, Ming-Jhou Wang","doi":"10.1109/DESEC.2017.8073866","DOIUrl":"https://doi.org/10.1109/DESEC.2017.8073866","url":null,"abstract":"The ideal application scenario of a digital repeater is to let the repeater be operated as a transparent node in the radio access network, which means the repeater has to keep a linear gain all the time when it is forwarding data among base stations and handsets. For a handset in a cellular network, its UL transmitted power may be dramatically fluctuated by the closed loop power control to meet the required signal quality and to compensate the propagation loss due to wireless channel. When a repeater is serving the handset, it may not be able to keep a linear gain in dealing with such variant received signal strength and sometimes results in transmitting over-powered UL signal to desensitize base station reception and even to interfere the base station. In this paper, we propose a novel power control scheme, which is to adaptively adjust the maximum UL output power of a digital cellular repeater to cope with the problem mentioned above. Field test results are presented to show the effectiveness of the proposed scheme.","PeriodicalId":92346,"journal":{"name":"DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International...","volume":"23 1","pages":"471-472"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75546264","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

Secure group key distribution in constrained environments with IKEv2 使用IKEv2在受限环境下安全的组密钥分发

DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International... Pub Date : 2017-08-01 DOI: 10.1109/DESEC.2017.8073823

N. Felde, T. Guggemos, T. Heider, D. Kranzlmüller

引用次数: 7

High performance CAN/FlexRay gateway design for in-vehicle network 车载网络高性能CAN/FlexRay网关设计

DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International... Pub Date : 2017-08-01 DOI: 10.1109/DESEC.2017.8073848

Trong-Yen Lee, Chia-Wei Kuo, I-An Lin

引用次数: 9

A practical and effective approach to implementing High Availability Seamless Redundancy (HSR) 一种实用有效的实现高可用性无缝冗余(HSR)的方法

DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International... Pub Date : 2017-08-01 DOI: 10.1109/DESEC.2017.8073824

James T. Yu

引用次数: 7

A novel public key encryption model based on transformed biometrics 一种新的基于转换生物特征的公钥加密模型

DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International... Pub Date : 2017-08-01 DOI: 10.1109/DESEC.2017.8073861

Bin Yan, Lin You

{"title":"A novel public key encryption model based on transformed biometrics","authors":"Bin Yan, Lin You","doi":"10.1109/DESEC.2017.8073861","DOIUrl":"https://doi.org/10.1109/DESEC.2017.8073861","url":null,"abstract":"In the fuzzy identity-based encryption scheme, a trusted KGC (key generation center) is needed to generate the corresponding private key corresponding to the user's biometric public key. In order to deal with the decentralization problem and the verification problem of the users identity, we propose a public key encryption model based on transformed biometrics. In this model, the user uses the transformed biometrics as his public key and his inherent real biometrics as his private key. In order to protect the user's biometrics information from being leaked, we take some appropriate security measures such as biometric template protection technology and irreversible random conversion technology. These operations are performed locally by the user, and once the public key is generated, the random transformation matrix is deleted or destroyed. The user connects the device serial number in parallel with the modulus N as the input value of the SHA-256 function and uses the output message digest as the public information. The user uses the inner product encryption to complete the encryption process. In this model, the security parameter and the private keys do not require any trusted organization for their generation, and these sensitive information does not need to be transmitted over a public network. The communication parties do not need to know the public key information of the other party in advance. When the user needs to transmit the secret message, the user can query the corresponding public key and related information. We have effectively linked the biological identities with the digital identities. Our thorough analysis shows that the proposed encryption model is both secure and efficient for an encryption algorithm.","PeriodicalId":92346,"journal":{"name":"DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International...","volume":"25 1","pages":"424-428"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85895094","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

Interactive simulation platform using processing-based visualization for safe collision-free autonomous driving development 采用基于处理的可视化交互式仿真平台进行安全无碰撞自动驾驶开发

DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International... Pub Date : 2017-08-01 DOI: 10.1109/DESEC.2017.8073886

Dongkyu Lee, Jeonghun Cho, Daejin Park

引用次数: 3

Multi-object splicing forgery detection using noise level difference 基于噪声级差的多目标拼接伪造检测

DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International... Pub Date : 2017-08-01 DOI: 10.1109/DESEC.2017.8073884

Bo Liu, Chi-Man Pun

引用次数: 3