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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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5th International Symposium on security and privacy in Social Networks and Big data, SocialSec 2019

5th International Symposium on Security and Privacy in Socia...

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5th International Symposium on security and privacy in Social Networks and Big data, SocialSec 2019

ISBN: (纸本)9789811507571

the proceedings contain 20 papers. the special focus in this conference is on security and privacy in Social Networks and Big data. the topics include: Predicting users’ emotional intelligence with social networking data;retrieve the hidden leaves in the forest: Prevent voting spamming in zhihu;DMU-ABSE: Dynamic multi-user attribute-based searchable encryption with file deletion and user revocation;design and implementation of medical dispute governance based on blockchain;passGrid: Towards graph-supplemented textual shoulder surfing resistant authentication;blockchain-based threshold electronic voting system;greedily remove k links to hide important individuals in social network;blockchain-based asymmetric group key agreement protocol for mobile Ad Hoc network;a hybrid covert channel with feedback over mobile networks;learning from imbalanced data: A comparative study;An RTP extension for reliable user-data transmission over VoIP Traffic;a novel lattice-based ciphertext-policy attribute-based proxy re-encryption for cloud sharing;cloud-aided privacy preserving user authentication and key agreement protocol for internet of things;a secure fine-grained identity-based proxy broadcast re-encryption scheme for micro-video subscribing system in clouds;development of an early warning system for network intrusion detection using benford’s law features;Integer version of ring-LWE and its applications;preface;correlate the advanced persistent threat alerts and logs for cyber situation comprehension.

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Multi Low-resolution Infrared Sensor Setup for privacy-preserving Unobtrusive Indoor Localization 5

Multi Low-resolution Infrared Sensor Setup for Privacy-prese...

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5th International conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE)

作者： Kowalski, Christian Blohm, Kolja Weiss, Sebastian Pfingsthorn, Max Gliesche, Pascal Hein, Andreas Inst Informat Technol OFFIS Oldenburg Germany Carl von Ossietzky Univ Oldenburg Oldenburg Germany

ISBN: (纸本)9789897583681

the number of home intensive care patients is increasing while the number of nursing staff is decreasing at the same time. To counteract this problem, it is necessary to take a closer look at safety-critical scenarios such as long-term home ventilation to provide relief. One possibility for support in this case is the exact localization of the affected person and the caregiver. A wide variety of sensors can be used to remedy this problem. Since the privacy of the patient should not be disturbed, it is important to find unobtrusive solutions. For this specific application, low-resolution infrared sensors - which are unable to invade the patient's privacy due to the low amount of sensor data information - can be used. the objective of this work is to create a basis for an inexpensive, privacy-preserving indoor localization system through the use of multiple infrared sensors, which can be for example used to support long-term home ventilated patients. the results show that such localization is possible by utilizing a support vector machine for classification. For the described scenario, a specific sensor layout was chosen to ensure the highest possible area coverage with a minimum amount of sensor installations.

关键词： Indoor Localization Multiple Infrared Sensors Health Monitoring Classification

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CFADefense: A security solution to detect and mitigate crossfire attacks in software-defined iot-edge infrastructure 21

CFADefense: A security solution to detect and mitigate cross...

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21st IEEE International conference on High Performance Computing and Communications, 17th IEEE International conference on Smart City and 5th IEEE International conference on data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Rafique, Wajid He, Xin Liu, Zifan Sun, Yuhu Dou, Wanchun State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Department of Computer Science and Technology Nanjing University Nanjing China

ISBN: (纸本)9781728120584

Managing the Internet of things (IoT) infrastructure has become a critical challenge due to an enormous increase in the connected devices and the lack of available security solutions. Software-Defined Networking (SDN) has been extensively involved in network infrastructure management. Moreover, numerous recent studies demonstrate the use of SDN for managing IoT networks. In SDN, policy consistency and security of the data plane is maintained through Waypoint Enforcement (WPE) which ensures that the traffic traverses policy nodes/switches to implement high-level network requirements. Previous studies on SDN primarily secure SDN infrastructure against traditional Distributed Denial of Service (DDoS) attacks. However, we investigate Crossfire Attack (CFA), which is a novel DDoS attack capable of interrupting communication of data plane switches using low-rate legitimate traffic. CFA has the potential to isolate policy switch from the rest of the data plane devices which introduces many security anomalies and routing inconsistencies. We first demonstrate how CFA is lethal on policy switch attacks and then present the design and implementation of a novel CFA countermeasure called CFADefense, which employs link selection, attack detection, and malicious flows interception modules. CFADefense has been developed as an application at the application layer of the open-source Floodlight controller. Our evaluation demonstrates that CFADefense accurately detects and efficiently mitigates CFA and poses minimal overhead on the controller in dealing with this attack. © 2019 IEEE.

关键词： Internet of things

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PRIME-Q: privacy Aware End-to-End QoS Framework in Multi-Domain SDN 5

PRIME-Q: Privacy Aware End-to-End QoS Framework in Multi-Dom...

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5th IEEE conference on Network Softwarization (IEEE NetSoft) / 2nd International Workshop on Advances in Slicing for Softwarized Infrastructures (S4SI)

作者： Joshi, Kalpana D. Kataoka, Kotaro Indian Inst Technol Hyderabad Hyderabad India

ISBN: (纸本)9781538693766

this paper presents the privacy preserving End-to-End (E2E) Quality of Service (QoS) mechanism in multi-domain Software Defined Network (SDN). Guaranteed E2E QoS needs complete information about the network. But, in multi-domain SDN, information sharing among different operators mainly have privacy and security issues;thus, operators may not share such network information. Moreover, such information collection is not only computationally expensive but also it requires a lot of message exchange between the domain controllers. Hence, we propose PRIME-Q, a privacy aware E2E QoS framework in Multi-domain SDN. In PRIME-Q, instead of collecting the required information about the network at a single location, the data is distributively processed, and only the binary decision is reported at a single point to take the final decision about E2E QoS. To quantify the gain of PRIME-Q, we define privacy Index to measure the privacy of E2E QoS coordination in multidomain SDN. the results show that the learning approach of PRIME-Q can achieve the required E2E QoS with maximum privacy. Further, the numerical results for PRIME-Q show a significant reduction in the communication and computation overhead in the network.

关键词： Quality of service privacy Routing security Network topology Bandwidth Diffserv networks privacy Quality of service end-to-end differentiated network service Network topology Bandwidth Network routing security Information Network information exchange

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Inferring behaviors via encrypted video surveillance traffic by machine learning 21

Inferring behaviors via encrypted video surveillance traffic...

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作者： Liu, Xiaolong Wang, Jibao Yang, Ying Cao, Zigang Xiong, Gang Xia, Wei Institute of Information Engineering University of Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728120584

In order to protect the safety of people, smart cameras are widely used in many places of life: homes, offices, subways and many other ways. However, those smart cameras could lead to personal information leakage. Considering the role of smart cameras in peoples life, the information leakage may result in serious security problems. In this paper, we reveal the relationship between user behavior and encrypted video surveillance traffic. We show that different user behaviors have different traffic patterns. We propose some new features for encrypted video surveillance traffic, and we can infer the basic life behavior of users from these features. We exploit eight basic activities of daily living: watching TV, reading books, styling hair, open or close door, sweeping the ground, dressing, drinking and moving, which can cover the basic behavior of human beings. First, we show how attackers carry out an attack. We demonstrate it is easy for attackers to steal users' privacy by encrypted video surveillance traffic. then, we extract the features of network traffic rate distribution and network traffic rate changes in the time domain and the frequency domain. Finally, we explore the validity of the features. And we utilize six typical machine learning algorithms to score these features. the experiment shows that we can identify the user's behavior with 94% accuracy. © 2019 IEEE.

关键词： data privacy

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Dynamic data access control for multi-authority cloud storage 21

Dynamic data access control for multi-authority cloud storag...

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作者： Wang, Jian Ye, Chunxiao Ou, Yangfei Colleage of Computer Science Chongqing University Chongqing China

ISBN: (纸本)9781728120584

Cloud computing have brought a lot of advantages, such as reducing the hardware cost and providing a convenient cloud storage service. More and more people choose to put their private data in the cloud. However, due to data outsourcing and seminal-trusted cloud servers, data access control has becoming a challenging issue. To protect data security and privacy, some ciphertext policy attribute-based encryption (CP-ABE) schemes have been applied to cloud data access control. However, there are two dynamic issues, namely attribute revocation and policy updating, that need to be solved in the existing CP-ABE schemes. In this paper, we propose a fine-grained dynamic multi-authority cloud data access control scheme, which can solve the above two problems. Besides, our scheme can also support user revocation, which make it more practical. the analysis and simulation results show that our scheme is secure in the random oracle model and is efficient. © 2019 IEEE.

关键词： Access control

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A Survey of privacy Leakage and security Vulnerabilities in the Internet of things

A Survey of Privacy Leakage and Security Vulnerabilities in ...

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International conference on Communication and Electronics Systems (ICCES)

作者： Amit Kumar Tyagi Deepti Goyal School of Computer Science and Engineering Vellore Institute of Technology Chennai Campus Chennai Tamilnadu India Lingaya's Vidyapeeth Faridabad Haryana India

ISBN: (数字)9781728153711

ISBN: (纸本)9781728153728

In this world, where everything around use is linked with technology, be it smart homes, smart cities, smart cars, etc. Internet of things (IoT) or Internet Connected things (ICT) are connected todays everywhere, with everywhere which is used to build a smart environment (with physical world). In fact, these internet linked gadgets have made our lives extremely easy, secure, and quick. But, using such devices in our daily life, people are very much concern about “their personal information”. So a question raised here: “Is it (personal information) safe with these (such) devices”? When these devices are connected together, they build an ecosystem together for human being/for various applications. A lot of data is being captured and transformed into valuable forms, which is used in future for increase productivity by forms/ organisation (in many application areas), ranging from automated home appliances, smart grids and high-resolution assets, to product management. this captured and collected data creates several issues, so it requires new/ useful strategies of enhancing the present status of IoT by incorporating (or overcoming) security and privacy into its current design, structure and implementation. Hence, this article explains such issues (in IoT) like privacy breaches, security vulnerability etc., in clear manner.

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there Are 10 Types of Vectors (and Polynomials) Efficient Zero-Knowledge Proofs of "One-Hotness" via Polynomials with One Zero 18

There Are 10 Types of Vectors (and Polynomials) Efficient Ze...

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2019 Workshop on privacy in the Electronic Society

作者： Black, William Henry, Ryan Univ Calgary Calgary AB Canada

ISBN: (纸本)9781450368308

We present a new 4-move special honest-verifier zero-knowledge proof of knowledge system for proving that a vector of Pedersen commitments opens to a so-called "one-hot" vector (i.e., to a vector from the standard orthonormal basis) from Z(p)(n). the need for such proofs arises in the contexts of symmetric private information retrieval (SPIR), end-to-end verifiable voting (E2E), and privacy-preserving data aggregation and analytics, among others. the key insight underlying the new protocol is a simple observation regarding the paucity of roots of polynomials of bounded degree over a finite field. the new protocol is fast and yields succinct proofs: For vectors of length n, the prover evaluates theta(lgn) group operations plus theta(n) field operations and sends just theta(lgn) group and field elements, while the verifier evaluates one n-base multiexponentiation plus theta(lgn) additional group operations and sends just 2(lambda + lgn) bits to obtain a soundness error less than 2(-lambda). (A 5-move variant of the protocol reduces prover upload to just 2 lambda+ lgn bits for the same soundness error.) We have implemented both our new protocol and its closest competitors from the literature;in accordance with our analytic results, experiments confirm that the new protocols handily outperform existing protocols for all but the shortest of vectors (roughly, for vectors with more than 16- 32 elements).

关键词： Zero-knowledge proofs efficiency privacy-preserving protocols

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Proposing Automatic dataset Generation System to Support Android Sensitive data Leakage Detection Systems 19

Proposing Automatic Dataset Generation System to Support And...

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5th International conference on Computing and Artificial Intelligence (ICCAI)

作者： Nguyen Tan Cam Nghi Hoang Khoa Le Duc thinh Van-Hau Pham Tuan Nguyen Hoa Sen Univ Ho Chi Minh City Vietnam Vietnam Natl Univ Univ Informat Technol Ho Chi Minh City Vietnam

ISBN: (纸本)9781450361064

Android sensitive information leakage datasets studies are still limited. Specifically, DroidBench dataset contains 120 case studies of which only 3 case studies are used for analyzing inter-application data flow. therefore, increasing the number of case study of Android sensitive information leakage datasets is necessary to contribute to improving the accuracy of the evaluations of related research studies in the future. Besides this, the creation of datasets for the evaluation of systems for analyzing other components of the Android operating system such as application Framework, Linux Kernel, ... is also necessary. In this paper, we propose a system that allows creation of test cases to assess sensitive information leakage detection systems on devices which are using Android operating systems. this system allows creating datasets containing case studies that cause sensitive data leakage not only in a chain of applications but also in the application Framework component. Evaluation results show that the proposed system works stably with case studies which have a large number of application chains up to 1000 applications and 20 inter-application communication channels for each application pair.

关键词： Android security Sensitive data leakage dataset Inter-application communication application Framework analysis Android dataset Generator

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2019 5th IEEE International WIE conference on Electrical and Computer Engineering, WIECON-ECE 2019 - proceedings

2019 5th IEEE International WIE Conference on Electrical and...

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5th IEEE International WIE conference on Electrical and Computer Engineering, WIECON-ECE 2019

ISBN: (纸本)9781728144993

the proceedings contain 76 papers. the topics discussed include: improved fractional order relay for unstable and higher order stable processes;bestow: a location-based mobile application for religious donors in context of Bangladesh;bifurcation of votes on online social networks based on Sybil and trusted users;development of a remote tracking security box with multi-factor authentication system incorporates with a biometric sensing device;ASIC implementation of rabbit stream cipher encryption for data;design and implementation of Bluetooth-beacon based indoor positioning system;and voice-activated open-loop control of wireless home automation system for multi-functional devices.

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