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检索条件"任意字段=Proceedings of the 5th ACM Conference on Data and Application Security and Privacy"

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Implementation for new approach for privacy-preserving over encrypted cloud data 5

Implementation for new approach for privacy-preserving over ...

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5th International conference on Communication and Electronics Systems, ICCES 2020

作者： Nigwal, Roshni Osari, Ranjeet Sharma, Pratyush India

ISBN: (纸本)9781728153711

As the human society is living in an incredibly organized condition, where tremendous measures of information are put away in remote, yet not of need confided in servers. there are many security issues worried to get to information on such servers;two of them can easily be perceived: the affectability of catchphrases sent in questions and the information recovered both require to be covered up. An associated convention, Private Information Retrieval (PIR) facilitates the client to route openly or private databases without uncovering which information he is removed. Since, protection is of a tremendous concern encourages positioned scan for solid abuse of redistributed cloud information under the previously mentioned model, our framework configuration ought to simultaneously accomplish security and execution ensure as pursues. An information encryption plot privacy-safeguarding. In our methodology dodge the cloud server from taking in strengthening data from the informational collection and the record, and to get together security wants. Effectiveness more than objectives on usefulness and protection ought to be achieved with low correspondence and calculation straightforwardness. the proposed approach improves the record recovery precision, the hunt result ought to be positioned by the cloud server as indicated by various positioning criteria. Finally, the entrance control system is attempting to direct decoding capacities given to clients and the information accumulation can be refreshed as far as embeddings novel archives, refreshing existing reports, and erasing alive records. In this paper, PRSA Algorithm dependent on the push and column-based encryption, changed calculation MD5 (Message-Digest Algorithm) and triple-DES (data Encryption Standard) are studied. © 2020 IEEE.

关键词： Cloud computing

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privacy-preserving Metrics for an mHealth App in the Context of Neuropsychological Studies 13

Privacy-preserving Metrics for an mHealth App in the Context...

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13th International Joint conference on Biomedical Engineering Systems and Technologies

作者： Gabel, Alexander Ertas, Funda Pleger, Michael Schiering, Ina Mueller, Sandra Verena Ostfalia Univ Appl Sci Fac Comp Sci Salzdahlumerstr 46-48 Wolfenbuttel Germany Ostfalia Univ Appl Sci Fac Social Work Salzdahlumerstr 46-48 Wolfenbuttel Germany

ISBN: (纸本)9789897583988

the potential of smart devices as smartphones, smart watches and wearables in healthcare and rehabilitation, so-called mHealth applications, is considerable. It is especially interesting, that these devices accompany patients during their normal life. Hence they are able to track activities and support users in activities of daily life. But beside the benefits for patients, mHealth applications also constitute a considerable privacy and security risk. the central question investigated here is how data about the usage of mobile applications in empirical studies with mHealth technologies can be collected in a privacy-friendly way based on the ideas of privacy by Design. the context for the proposed approach are neuropsychological studies where a mobile application for Goal Management Training, a therapy for executive dysfunctions. is investigated. there a privacy-friendly concept for collecting data about the usage of the app based on metrics which are derived from research questions is proposed. the main ideas underlying the proposed concept are a decentralized architecture, where only aggregated data is gathered for the study. and a consequent data minimization approach.

关键词： mHealth data Minimization privacy by Design privacy by Default data Aggregation Metrics Neuropsychology Empirical Study

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Research and application of SM9 in the Ubiquitous Electric IoT 5

Research and Application of SM9 in the Ubiquitous Electric I...

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IEEE 5th Information Technology and Mechatronics Engineering conference (ITOEC)

作者： Liao, Huimin Wang, Dong Wang, Junsheng Li, lili Wang, Huinan State Grid Elect Commerce Co Ltd Beijing 100053 Peoples R China State Grid Xiongan Financial Technol Grp Co Ltd Beijing 100053 Peoples R China State Grid Blockchain Technol Beijing Co Ltd Beijing 100053 Peoples R China State Grid Shanxi Elect Power Co Taiyuan 030002 Peoples R China

ISBN: (纸本)9781728143231;9781728143224

With the continuous advancement of the reform of the power system, relying on new technologies such as big data, cloud computing, artificial intelligence, the IoT, and blockchain, the construction of the ubiquitous electric IoT has promoted data fusion in all aspects of the system and broke the isolation of data island. However, due to the large scale of system access, the complexity of business operations, and the increasing number of system vulnerabilities and vulnerabilities, it is difficult for traditional network security technologies to ensure system security. the certificateless security mechanism based on domestic passwords can effectively solve the security problems brought by massive terminal access and ensure the stable operation of the power system. In order to meet the security requirements of energy Internet information interaction, this article proposes the SM9 cloud service constructed by converged cloud technology for large-scale terminal interconnection scenarios, and integrates the challenge handshake authentication protocol ( CHAP) to prevent Identity authentication affected by replay attacks, improving the security management and control capabilities of terminal access, and comprehensively supporting the construction of world-class energy Internet companies with excellent competitiveness.

关键词： Ubiquitous Electric IoT Network security Identity Authentication Domestic Cipher

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data security in Cloud Environment Using Light Weight Secret Key 5

Data Security in Cloud Environment Using Light Weight Secret...

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5th IEEE International conference on Computing Communication and Automation, ICCCA 2020

作者： Choudhary, Sandeep Singh, Nanhay Ambedkar Institute of Advanced Communication Technologies and Research Dept. of Computer Science and Engg. Delhi India

ISBN: (纸本)9781728163246

RSA is one of the popular technique used by cloud service provider to guarantee the security and privacy of user data. In this technique, large prime factors are required to generate public key and private key before transmission of data over the insecure channel. this has been analyze that private key is always equal or extremely large than the public key which increase the time complexity during the decryption process at receiver end. this paper propose a light weight secret key (LWSK) build with Chinese remainder theorem (CRT) to compute the RSA encryption and decryption modular expressions for 2048 bit and 4096 bit. the proposed LWSK framework found the same computation time for encryption but during decryption process LWSK reduce the computation time. On the basis of computed time complexity, this has been observed that the proposed LWSK technique is faster approximately three times during decryption than RSA process. © 2020 IEEE.

关键词： ASCII CIA Cloud security CRT LWSK RSA Segments

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A Study on privacy Issues in Internet of things (IoT)

A Study on Privacy Issues in Internet of Things (IoT)

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Cryptography, security and privacy (CSP), IEEE International conference on

作者： Naqliyah Zainuddin Maslina Daud Sabariah Ahmad Mayasarah Maslizan Syafiqa Anneisa Leng Abdullah Info. Security Mgmt CyberSecurity Malaysia Cyberjaya Malaysia Cyber Security Proactive CyberSecurity Malaysia Cyberjaya Malaysia

ISBN: (数字)9781728186214

ISBN: (纸本)9781728186221

Internet of things (IoT) is an interconnected wireless network where smart nodes (IoT devices) interact with each other in order to exchange data through the communicating medium. loT have rapidly increased in popularity, demand, and commercial availability within the past several years. Various IoT applications generate a huge amount of data from different types of resources, including smart cities, manufacturing industries, health institutions, and governments. Due to the pervasive nature of IoT and the limitless opportunities that this technology provides, security and privacy becomes two key concerns for the users of these smart offerings. Most of the privacy threats disclosing the private information to unwanted party and gives rise to serious implications in various IoT application. thus, this paper will analyze existing literature related to various privacy threats in IoT, privacy issues in different applications of IoT and present summary of the study.

关键词： Manufacturing industries privacy Smart cities Wireless networks Government Internet of things Research and development

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application of data Augmentation in Lane Line Detection

Application of Data Augmentation in Lane Line Detection

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5th International conference on Computing, Communication and security (ICCCS)

作者： Liu, Qian Wu, Xiaoyu Qiao, Dan Commun Univ China Inst Informat & Commun Beijing Peoples R China

ISBN: (纸本)9781728191805

With the continuous development of deep learning technology and the deepening of neural network research, more and more traditional problems have begun to seek new solutions by constructing deep neural networks, and breakthroughs have been made in many fields. Deep learning is a data-driven method, and huge neural network models require massive data support. However, as the most important part of deep learning, data has many problems such as difficulty in data collection, data labeling consumes a lot of manpower, and uneven data distribution. Expanding the original data can not only save a lot of resources but also effectively improve network performance. this article selects a specific problem for data augmentation research. As a very important part of autonomous driving technology, lane line detection is also a hot spot in computer vision research. We took the lane line detection problem as an entry point, conducted data augmentation experiments on the public road data set, and verified that the data augmentation methods used in this article improved network performance by 5.5 percent through comparative experiments.

关键词： data augment lane detection

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Can AI be for Good in the Midst of Cyber Attacks and privacy Violations?: A Position Paper 10

Can AI be for Good in the Midst of Cyber Attacks and Privacy...

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10th acm conference on data and application security and privacy, CODASPY 2020

作者： thuraisingham, Bhavani M. University of Texas at Dallas Richardson TX United States

ISBN: (纸本)9781450371070

Artificial Intelligence (AI) is affecting every aspect of our lives from healthcare to finance to driving to managing the home. Sophisticated machine learning techniques with a focus on deep learning are being applied successfully to detect cancer, to make the best choices for investments, to determine the most suitable routes for driving as well as to efficiently manage the electricity in our homes. We expect AI to have even more influence as advances are made with technology as well as in learning, planning, reasoning and explainable systems. While these advances will greatly advance humanity, organizations such as the United Nations have embarked on initiatives such as "AI for Good" and we can expect to see more emphasis on applying AI for the good of humanity especially in developing countries. However, the question that needs to be answered is Can AI be for Good when when the AI techniques can be attacked and the AI techniques themselves can cause privacy violations? this position paper will provide an overview of this topic with protecting children and children's rights as an example. © 2020 Owner/Author.

关键词： adversarial machine learning ai for good children's rights cyber attacks privacy protection

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StateConsisIV: A privacy-preserving integrity verification method for cloud components based on a novel state consistency feature 5

StateConsisIV: A privacy-preserving integrity verification m...

引用

5th IEEE International conference on data Science in Cyberspace, DSC 2020

作者： Fan, Peiru Wang, Chonghua Li, Jun Zhao, Bo Ji, Zhaoxu China Industrial Control Systems Cyber Emergency Response Team Beijing China Wuhan University Key Laboratory of Aerospace Information Security and Trusted Computing School of Cyber Science and Engineering WuHan China

ISBN: (纸本)9781728195582

Plain proofs (e.g., raw logs, report, etc.) are significant and effective for integrity verification. In our analysis and comparison of existing work, we found most of them did not employ any protection mechanisms on the proofs. However, these proofs contain sensitive information, which may cause privacy leakage risks when the third party verifier (TPV) is compromised. the situation is even worse when the verification objects are cloud components. Motivated by this, we present StateConsisIV, a privacy-preserving integrity verification method based on a novel state consistency feature to address the privacy leakage problem. the core idea of our work is to enable the integrity judgment through encrypted proofs, withholding plain proofs inside the cloud only to reduce attack surface and enhance privacy. In specific, we employ random transformation algorithm on cloud nodes to encrypt proofs on their birth places. Besides, we design a novel state consistency feature based on the deployment and operation pattern of structural cloud components and perform feature analysis on TPV to guarantee an accurate integrity judgment result. We evaluate our approach on one typical dataset. the experimental results show that our method is considered more worthy with a little bit of extra computation overhead. © 2020 IEEE.

关键词： privacy-preserving techniques

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BRAIN-IoT: Paving the Way for Next-Generation Internet of things 5

BRAIN-IoT: Paving the Way for Next-Generation Internet of Th...

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5th International conference on Internet of things, Big data and security (IoTBDS)

作者： Ferrera, Enrico Tao, Xu Conzon, Davide Pombo, Victor Sonora Cantero, Miquel Ward, Tim Bosi, Ilaria Sandretto, Mirko LINKS Fdn Leading Innovat & Knowledge Soc Turin Italy Improving Metr La Coruna Spain Robotnik Automat SLL Valencia Spain Paremus Ltd Wokingham England

ISBN: (纸本)9789897584268

Nowadays, the adoption of the Internet of things is drastically increasing in different domains and is contributing to the fast digitalization of several different critical sectors. In the near future, next generation of IoT-based systems will become more complex to be designed and managed. An opportunity for the development of flexible smart IoT-based systems that drive the business decision-making is to take more precise and accurate decisions at the right time, collecting real-time IoT generated data. this involves a set of challenges including the complexity of IoT-based systems and the management of large-scale systems scalability. With respect to these challenges, we propose to automate the management of IoT-based systems mainly based on an autonomic computing approach;these systems should implement cognitive capabilities that allow them learning and generating decisions at the right time. Consequently, we propose a model-driven methodology for designing smart IoT-based systems. With this objective, BRAIN-IoT paves the way to develop and demonstrate novel IoT concepts and solutions to underpin the Next Generation Internet of things vision and architecture, that focusing on self-aware and semi-autonomous IoT systems, as well as on moving away from centralized cloud-computing solutions towards distributed intelligent edge computing systems.

关键词： Next-Generation Internet of things Self-aware Systems Semi-autonomous Systems security privacy Edge Computing Model-based Development Smart Behaviours

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privacy Preserving AKMA in 5G 19

Privacy Preserving AKMA in 5G

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5th acm Workshop on security Standardisation Research Workshop (SSR)

作者： Khan, Mohsin Ginzboorg, Philip Niemi, Valtteri Univ Helsinki Helsinki Finland Helsinki Inst Informat Technol Helsinki Finland Huawei Technol Helsinki Finland Aalto Univ Helsinki Finland

ISBN: (纸本)9781450368322

3GPP is currently studying AKMA (Authentication and Key Agreement for applications): a mobile network service intended to support authentication and key management based on 3GPP credentials in 5G system, for third-party applications and 3GPP services. AKMA extends and evolves two earlier services that 3GPP specified for previous generations of mobile systems. those are GBA (Generic Bootstrapping Architecture) and BEST (Battery Efficient security for very low throughput Machine Type Communication (MTC) devices), In this paper, we have first analyzed potential AKMA requirements in the 3GPP study of AKMA vs. GBA and BEST. We have identified two new privacy requirements that could be useful to protect the privacy of user transactions with AKMA application function against, e.g., an insider attacker in the home network of that user. Second, we have developed a privacy-mode for AKMA that fulfills those new requirements.

关键词： 5G AKMA GBA BEST privacy DTDHP

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