检索结果-内蒙古大学图书馆

2018 International Conference on Computational Intelligence and Data science, ICCIDS 2018

作者： Rajendran, Gayathri Chitturi, Bhadrachalam Poornachandran, Prabaharan Dept. of Computer Science and Engineering Amrita School of Engineering India Amrita Center for Cyber Security and Networks India Amrita Vishwa Vidyapeetham Amritapuri Kerala India

Understanding the user intention from text is a problem of growing interest. The social media like Twitter, Facebook etc. extract user intention to analyze the behaviour of a user which in turn is employed for bot recognition, satire detection, fake news detection etc. The process of identifying stance of a user from the text is called stance detection. This article compares the headline and body pair of a news article and classifies the pair as related or unrelated. The related pair is further classified into agree, disagree, discuss. We call related as detailed classification and unrelated as broad classification. We employ deep neural nets for feature extraction and stance classification. RNN models and its extensions showed significant variations in the classification of detailed class. Bidirectional LSTM model achieved the best accuracy for broad as well as detailed classification. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Social networking (online)

来源：评论

学校读者我要写书评

暂无评论

Implementation analysis of rectangle cipher and its variant 3

Implementation analysis of rectangle cipher and its variant

引用

3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2018

作者： Philip, Merly Annie Vaithiyanathan, V. Jain, Kurunandan Center for Cyber Security Systems and Networks Amrita Vishwa Vidyapeetham Amritapuri India Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9781538624401

Lightweight ciphers are symmetric cryptographic systems with lower area, lower power and lower cost than standard systems like AES and DES. They were designed to provide security in resource constrained devices like smart cards, IoT devices, RFID tags and wireless sensor networks. After a literature survey on the existing ciphers, Rectangle cipher was chosen for implementation analysis and a variant of it is introduced. The Rectangle cipher is a lightweight cipher which is much similar to AES and incorporates bit slice technique by Zhang, et al in 2015. In this paper we discuss the implementation analysis of Rectangle cipher and an increased block size variant of it. Both the ciphers were implemented on low cost Xilinx Spartan 3E XC3S1200EFG. The synthesis reports were compared with each other and it was found that the variant has slightly degraded performance than the existing Rectangle cipher, but it is well suited for cipher block chaining. © 2018 IEEE.

关键词： Smart cards

来源：评论

学校读者我要写书评

暂无评论

STR: Secure computation on additive shares using the share-transform-reveal strategy

arXiv

引用

arXiv 2020年

作者： Xia, Zhihua Gu, Qi Zhou, Wenhao Xiong, Lizhi Weng, Jian Xiong, Naixue N. College of Cyber Security Jinan University Guangzhou510632 China Engineering Research Center of Digital Forensics Ministry of Education School of Computer and Software Jiangsu Engineering Center of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology Nanjing210044 China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin541004 China The College of Intelligence and Computing Tianjin University Tianjin300350 China

The rapid development of cloud computing probably benefits many of us while the privacy risks brought by semi-honest cloud servers have aroused the attention of more and more people and legislatures. In the last two decades, plenty of works seek to outsource various specific tasks to servers while ensuring the security of private data. The tasks to be outsourced are countless;however, the computations involved are similar. In this paper, we construct a series of novel protocols that support the secure computation of various functions on numbers (e.g., the basic elementary functions) and matrices (e.g., the calculation of eigenvectors and eigenvalues) on arbitrary n ≥ 2 servers. All protocols only require constant rounds of interactions and achieve low computation complexity. Moreover, the proposed n-party protocols ensure the security of private data even though n − 1 servers collude. The convolutional neural network models are utilized as the case studies to verify the protocols. The theoretical analysis and experimental results demonstrate the correctness, efficiency, and security of the proposed protocols. Copyright © 2020, The Authors. All rights reserved.

关键词： Additives

来源：评论

学校读者我要写书评

暂无评论

Fine-grained iterative attention network for temporal language localization in videos

arXiv

引用

arXiv 2020年

作者： Qu, Xiaoye Tang, Pengwei Zou, Zhikang Cheng, Yu Dong, Jianfeng Zhou, Pan Xu, Zichuan School of Electronic Information and Communication Huazhong University of Science and Technology Huawei Tech. Hangzhou China School of Electronic Information and Communication Huazhong University of Science and Technology China Baidu Inc. China Microsoft Dynamics 365 AI Research RedmondWA United States School of Computer and Information Engineering Zhejiang Gongshang University China Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Software Dalian University of Technology China

Temporal language localization in videos aims to ground one video segment in an untrimmed video based on a given sentence query. To tackle this task, designing an effective model to extract grounding information from both visual and textual modalities is crucial. However, most previous attempts in this field only focus on unidirectional interactions from video to query, which emphasizes which words to listen and attends to sentence information via vanilla soft attention, but clues from query-by-video interactions implying where to look are not taken into consideration. In this paper, we propose a Fine-grained Iterative Attention Network (FIAN) that consists of an iterative attention module for bilateral query-video in-formation extraction. Specifically, in the iterative attention module, each word in the query is first enhanced by attending to each frame in the video through fine-grained attention, then video iteratively attends to the integrated query. Finally, both video and query information is utilized to provide robust cross-modal representation for further moment localization. In addition, to better predict the target segment, we propose a content-oriented localization strategy instead of applying recent anchor-based localization. We evaluate the proposed method on three challenging public benchmarks: ActivityNet Captions, TACoS, and Charades-STA. FIAN significantly outperforms the state-of-the-art approaches. Copyright © 2020, The Authors. All rights reserved.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Poisoning attack against estimating from pairwise comparisons

arXiv

引用

arXiv 2021年

作者： Ma, Ke Xu, Qianqian Zeng, Jinshan Cao, Xiaochun Huang, Qingming The School of Computer Science and Technology University of Chinese Academy of Sciences Beijing100049 China The Artificial Intelligence Research Center Peng Cheng Laboratory Shenzhen518055 China The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China The School of Computer and Information Engineering Jiangxi Normal University Jiangxi Nanchang330022 China Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China The School of Cyber Security University of Chinese Academy of Sciences Beijing100049 China The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China The School of Computer Science and Technology University of Chinese Academy of Sciences Beijing100049 China The Key Laboratory of Big Data Mining and Knowledge Management The School of Economics and Management University of Chinese Academy of Sciences Beijing100049 China

As pairwise ranking becomes broadly employed for elections, sports competitions, recommendation, information retrieval and so on, attackers have strong motivation and incentives to manipulate or disrupt the ranking list. They could inject malicious comparisons into the training data to fool the target ranking algorithm. Such a technique is called "poisoning attack" in regression and classification tasks. In this paper, to the best of our knowledge, we initiate the first systematic investigation of data poisoning attack on the pairwise ranking algorithms, which can be generally formalized as the dynamic and static games between the ranker and the attacker, and can be modeled as certain kinds of integer programming problems mathematically. To break the computational hurdle of the underlying integer programming problems, we reformulate them into the distributionally robust optimization (DRO) problems, which are computational tractable. Based on such DRO formulations, we propose two efficient poisoning attack algorithms and establish the associated theoretical guarantees including the existence of Nash equilibrium and the generalization ability bounds. The effectiveness of the suggested poisoning attack strategies is demonstrated by a series of toy simulations and several real data experiments. These experimental results show that the proposed methods can significantly reduce the performance of the ranker in the sense that the correlation between the true ranking list and the aggregated results with toxic data can be decreased dramatically. © 2021, CC BY-NC-ND.

关键词： Toys

来源：评论

学校读者我要写书评

暂无评论

Triple layer data hiding mechanism using cryptography and steganography 3

Triple layer data hiding mechanism using cryptography and st...

引用

3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2018

作者： Menon, Nidhi Vaithiyanathan, V. Amrita Center for Cyber Security Systems and Networks Amrita University Amritapuri Kerala India Amrita University Department of Computer Science and Engineering Amritapuri Kerala India

ISBN: (纸本)9781538624401

In many areas security systems are well known as the advances are expanding step by step. Using encryption and steganography data security can be accomplished. Cryptography is the process of secure correspondence within the presence of third parties. Steganography is method of sending hidden messages with the end goal that apart from the sender and receiver, nobody even speculates the presence of the message. In the present tech age, using cryptography and steganography separately may not provide the intended protection from the intruders. In this paper, we propose an encoding technique that uses the combination of cryptography and steganography. Two levels of data encryption is done and then the encrypted data is hidden inside the image. The image in which the ciphertext is embedded is used for further purposes. © 2018 IEEE.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Securing the Private Key in Your Blockchain Wallet: A Continuous Authentication Approach Based on Behavioral Biometric

引用

Journal of Physics: Conference Series 2020年第1期1631卷

作者： Teng Hu Xiaolei Liu Weina Niu Kangyi Ding Yanping Wang Xiaosong Zhang Institute for Cyber Security School of Computer Science and Engineering University of Electronic Science and Technology of China China Institute of Computer Application China Academy of Engineering Physics China Peng Cheng Laboratory Cyberspace Security Research Center China

As blockchain is increasingly valued, the application of blockchain and its security has become a research hotspot. Not only that, more and more ordinary users are paying attention to the blockchain and beginning to trade commodities in cryptocurrencies. The blockchain wallet is a program for users to manage and stores their private keys. Furthermore, the private key is the user's unique credential to the cryptocurrency in the blockchain. But for now, blockchain wallets are only using passwords to authenticate users, which poses a potential risk to private key security. To mitigate this risk, this paper proposes a continuous authentication approach based on user mouse behavioral biometrics. The approach was experimentally shown to be able to authenticate once per second with an average FAR and FRR of 6.92% and 6.18%, respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Curtailing the spread of COVID-19 in Nigeria using digital framework and data driven approaches

EngMedicine

引用

EngMedicine 2024年第2期1卷 22-30页

作者： Bolanle Adefowoke Ojokoh Benjamin S.Aribisala Oluwafemi A.Sarumi Tobore V.Igbe Abimbola H.Afolayan Arome J.Gabriel Abiola Ezekiel Taiwo Olatunji M.Omisore Uchechukwu M.Chukwuocha Olusola T.Babalola Tolulope A.Adebayo Department of Information Systems Federal University of TechnologyP.M.B.704 AkureOndo StateNigeria Department of Computer Science Lagos State UniversityOjoLagos StateNigeria Department of Mathematics and Computer Science University of Marburg35037 MarburgGermany Center for Diabetes Technology Department of Psychiatry&Neurobehavioral SciencesUniversity of VirginiaCharlottesvilleVA 22903USA Department of Cyber Security Federal University of TechnologyP.M.B.704 AkureOndo StateNigeria Faculty of Engineering Mangosuthu University of TechnologyDurban 4026South Africa Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518055China Department of Public Health Federal University of TechnologyIhiagwaOwerriNigeria Department of Computer Science Federal University of TechnologyP.M.B.704 AkureOndo StateNigeria

The onset of the coronavirus disease 2019(COVID-19)pandemic had profound economic and societal repercussions *** nations managed to mitigate the spread of the virus sufficiently early through implementing digital frameworks and other containment ***,many countries in Africa faced significant challenges due to limited technological infrastructure for infection *** study investigated the efficacy of digital frameworks,with a specific focus on contact tracing apps,in stemming the spread of COVID-19 within *** investigated the potential impact of the use of these apps on reducing infection rates and improving public health ***,this study provided insights into the practical implementation of such frameworks and the challenges associated with their nationwide deployment.A structured user-oriented questionnaire was distributed to participants across different geopolitical zones in *** study employed association rule mining and descriptive statistics,setting a support threshold of 0.001 and confidence of 0.8,to uncover patterns of interest among *** analysis using Barnes–Hut t-Distributed Stochastic Neighbor Embedding was conducted to derive reliable inferences from the *** findings revealed adoption rates of 69.7%and 93.8%for the minimum and maximum,respectively,in favor of using a COVID-19 contact tracing ***,71.6%of participants expressed concerns about the privacy of their personal information,whereas 74%showed an interest in receiving daily reports on estimated COVID-19 infection in their *** study presents empirical evidence highlighting the potential of contact tracing apps as valuable tools for monitoring and curbing the spread of COVID-19 and related diseases in Nigeria.

关键词： Digital technology COVID-19 Contact tracing Mobile app Data analytics

来源：评论

学校读者我要写书评

暂无评论

Secure Cryptography Infrastructures in the Cloud

Secure Cryptography Infrastructures in the Cloud

引用

IEEE Global Communications Conference

作者： Dawei Chu Kaijie Zhu Quanwei Cai Jingqiang Lin Fengjun Li Le Guan Lingchen Zhang State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences National Digital Switching System Engineering & Technological R&D Center CHINA Data Assurance and Communication Security Research Center Chinese Academy of Sciences Department of Electrical Engineering and Computer Science The University of Kansas USA Department of Computer Science University of Georgia USA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Information systems are deployed in clouds as virtual machines (VMs) for better agility, elasticity and reliability. It is necessary to safekeep their cryptographic keys, e.g., the private keys used in TLS and SSH, against various attacks. However, existing virtualization solutions do not improve the cryptography facilities of in-cloud systems. This paper presents SECRIN, a secure cryptography infrastructure for VMs in the cloud. SECRIN is composed of a) virtual cryptographic devices implemented in VM monitors (VMMs), and b) a device management tool integrated in the virtualization management system. A virtual device receives requests from VMs, computes with cryptographic keys within the VMM and returns results. The keys appear only in the VMM's memory space, so that they are kept secret even if the VMs were compromised. With the management tool, the operator of virtualization management systems assigns virtual cryptographic devices to a VM as well as other resources, while the tenant (or owner) of a VM still holds proper controls on the keys. The virtual devices work compatibly with live migration, and the cryptographic computations are not interrupted when the VMs are moving from a host to another. We develop the SECRIN prototype with KVM-QEMU and oVirt. Experimental results show that, it works compatibly with existing virtualization solutions, provides reliable cryptographic computing services for applications, and is secure against attacks happening in VMs.

关键词： Cryptography Virtualization Cloud computing Virtual machine monitors Password Reliability Tools

来源：评论

学校读者我要写书评

暂无评论

An Acute Kidney Injury Prediction Model Based on Ensemble Learning Algorithm

An Acute Kidney Injury Prediction Model Based on Ensemble Le...

引用

IEEE International Symposium on Information (IT) in Medicine and Education, ITME

作者： Yuan Wang Yake Wei Qin Wu Hao Yang Jingwei Li College of Computer Science and Information Engineering Tianjin University of Science and Technology Population and Precision Health Care (Tianjin) Ltd Center for Cyber Security University of Electronic Science and Technology of China Department of critical care medicine Sichuan University State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences

Acute Kidney Injury (AKI), a common disease in Intensive Care Unit (ICU) patients, is related to high cost, morbidity and mortality. The early prediction of AKI is critical for improving patients' outcome. However, sparse clinical data and highly imbalanced dataset bring great challenges to AKI prediction. Among existed machine learning algorithms, ensemble learning often stands out with its good performance on complex classification problems. Boosting algorithm is one of the best ensemble learning algorithms. Therefore, we develop a prediction model based on it aiming to forecast AKI ahead 24 hours and 48 hours. We also adopt the way that is analogous to text modeling transforming heterogeneous time series reflecting patients' medication information into multidimensional vector to overcome problem brought by sparse data. Additionally, since the imbalanced dataset would affect predictive performance, we artificially construct a more balanced dataset based on the original dataset to initialize the model. According to the experimental results, our model works well on the ICU patients dataset (AUC 24h ahead: 0.80 48h ahead 0.77). We also verify that medication information improves model performance (24h ahead: AUC 0.75 to 0.80 48h ahead: AUC 0.75 to 0.77) and find the optimal ratio of number between classes when initializing model for AKI prediction.

关键词： Predictive models Sensitivity Prediction algorithms Drugs Feature extraction Machine learning algorithms Kidney

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：