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2021 2nd Asia Service Sciences and Software Engineering conference, ASSE 2021

2021 2nd Asia Service Sciences and Software Engineering Conf...

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2nd Asia Service Sciences and Software Engineering conference, ASSE 2021

ISBN: (纸本)9781450389082

The proceedings contain 19 papers. The topics discussed include: designing a collaborative construction-project platform on blockchain technology for transparency, traceability, and information symmetry;TheCoin: privacy and security considerations within blockchain transactions;plume: fast finality blockchain without single failure point;research on data asset management of electricity industry based on blockchain;improving business operation efficiency by using smart contract;challenges in the development of a global software user interface by multicultural teams: an industrial experience;an extensive study on multi-priority algorithm in test case prioritization and reduction;simulation model of stampede accident based on multi-agent and game theory;and optimization design and application of hybrid simulation skill training platform.

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Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps 22

Right to Know, Right to Refuse: Towards UI Perception-Based ...

引用

proceedings of the 37th IEEE/acm International conference on Automated Software Engineering

作者： Vikas Kumar Malviya Chee Wei Leow Ashok Kasthuri Yan Naing Tun Lwin Khin Shar Lingxiao Jiang School of Computing and Information Systems Singapore Management University Singapore

ISBN: (纸本)9781450394758

It is the basic right of a user to know how the permissions are used within the Android app’s scope and to refuse the app if granted permissions are used for the activities other than specified use which can amount to malicious behavior. This paper proposes an approach and a vision to automatically model the permissions necessary for Android apps from users’ perspective and enable fine-grained permission controls by users, thus facilitating users in making more well-informed and flexible permission decisions for different app functionalities, which in turn improve the security and data privacy of the App and enforce apps to reduce permission misuses. Our proposed approach works in mainly two stages. First, it looks for discrepancies between the permission uses perceivable by users and the permissions actually used by apps via program analysis techniques. Second, it runs prediction algorithms using machine learning techniques to catch the discrepancies in permission usage and thereby alert the user for action about data violation. We have evaluated preliminary implementations of our approach and achieved promising fine-grained permission control accuracy. In addition to the benefits of users’ privacy protection, we envision that wider adoption of the approach may also enforce better privacy-aware design by responsible bodies such as app developers, governments, and enterprises.

关键词： automated permission control UI perception machine learning Android application analysis Android permissions

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ColoT: A consent and information assistant for the IoT 20

ColoT: A consent and information assistant for the IoT

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13th acm conference on security and privacy in Wireless and Mobile Networks, WiSec 2020

作者： Cunche, Mathieu Métayer, Daniel Le Morel, Victor Univ Lyon France

ISBN: (纸本)9781450380065

The Internet of Things (IoT) raises specific issues in terms of information and consent, which makes the implementation of the General data Protection Regulation (GDPR) challenging in this context. In this demo paper, we propose a prototype implementation of a consent and information assistant for the IoT coined CoIoT. This assistant is presented as an Android application called a Personal data Custodian (PDC), working with devices called BLE privacy Beacons. CoIoT enables the automatic communication of information about personal data collection, as well as a seamless management of consent to personal data collection. © 2020 Owner/Author.

关键词： data privacy

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An Urban Sensing Architecture as Essential Infrastructure for Future Cities 14

An Urban Sensing Architecture as Essential Infrastructure fo...

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IEEE/acm 14th International conference on Utility and Cloud Computing

作者： Kumar, Vijay Oikonomou, George Tryfonas, Theo Univ Bristol Bristol Avon England

ISBN: (纸本)9781450391634

Climate change and migration have become one of the most challenging problems for our civilization. In this context, city councils work hard to manage essential services for citizens such as waste collection, street lamp lighting, and water supply. Increasingly, digitalization and the Internet of Things (IoT) help cities improve services, increase productivity and reduce costs. However, to understand how this may happen, we explore the urban sensing capabilities from citizen- to city-scale, how sensing at different levels is interlinked, and the challenges of managing innovations based on IoT data and devices. Local authorities collaborate with researchers and deploy testbeds as a part of demonstration and research projects to perform the above data collection, improve city services, and support innovation. The data gathered is about indoor and outdoor environmental conditions, energy usage, built environment, structural health monitoring. Such monitoring requires IT infrastructure at three different tiers: at the endpoint, edge, and cloud. Managing infrastructure at all tiers with provisioning, connectivity, security updates of devices, user data privacy controls, visualization of data, multi-tenancy of applications, and network resilience, is challenging. So, in turn, we focus on performing a systematic study of the technical and non-technical challenges faced during the implementation, management, and deployment of devices into citizens' homes and public spaces. Our third piece of work explores IoT edge applications' resiliency and reliability requirements that vary from non-critical (best delivery efforts) to safety-critical with time-bounded guarantees. We investigate how to meet IoT application mixed-criticality QoS requirements in multi-communication networks. Finally, to demonstrate the principles of our framework in the real world, we implement an open-source air quality platform Open City Air Quality Platform (OpenCAQP), that merges a wide range of data so

关键词： Urban Sensing data monitoring infrastructure IoT

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Evaluation of Secure Remote Offering Service for Information Bank 20

Evaluation of Secure Remote Offering Service for Information...

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10th acm conference on data and application security and privacy (CODASPY)

作者： Kayaba, Keita Oguri, Hidenobu Yamaoka, Yuji Fujitsu Labs Ltd Tokyo Japan

ISBN: (纸本)9781450371070

An information bank is a reliable data ecosystem for the distribution and utilization of personal data (PD). In order to maintain the trust of individuals, sharing of personal data between businesses and the information bank is required to be secure. Therefore, the information bank must prevent abuse and leaking of personal data. There are several measures that can be taken to limit the damage imposed upon the individual in the case of data abuse or leakage. However, it is difficult to prevent abuse and leakage once the data has been shared with businesses. Thiswork focuses on the security of an offering service on the information bank. The information bank offers useful information or services to individuals from businesses' based on shared personal *** devise a remote offering service enabling businesses to target individuals without sharing personal data. Moreover, we consider a malicious threat on the remote offering service and propose a mechanism for detecting this threat. The experimental results suggest that the proposed mechanism is useful in some real security use cases.

关键词： Information Bank privacy Remote Execution Offering Service

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Fast database Joins and PSI for Secret Shared data 20

Fast Database Joins and PSI for Secret Shared Data

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acm SIGSAC conference on Computer and Communications security (acm CCS)

作者： Mohassel, Payman Rindal, Peter Rosulek, Mike Facebook Cambridge MA 02142 USA Visa Res Palo Alto CA USA Oregon State Univ Corvallis OR 97331 USA

ISBN: (纸本)9781450370899

We present a scalable protocol for database joins on secret shared data in the honest-majority three-party setting. The key features of our protocol are a rich set of SQL-like join/select queries and the ability to compose join operations together due to the inputs and outputs being generically secret shared between the parties. Provided that all joins operate on unique primary keys, no information is revealed to any party during the protocol. In particular, not even the sizes of intermediate joins are revealed. All of our protocols are constant-round and achieve O (n) communication and computation overhead for joining two tables of n rows. These properties make our protocol ideal for outsourced secure computation. In this setting several non-colluding servers are setup and the input data is shared among them. These servers then perform the relevant secret shared computation and output the result. This model has recently been gaining traction in industry, e.g. Facebook's Crypten, Cape privacy's TFEncrypted, Mozilla Telemetry. We additionally implement two applications on top of our framework. The first application detects voter registration errors within and between agencies of 50 US states, in a privacy-preserving manner. The second application allows several organizations to compare network security logs to more accurately identify common security threats, e.g. the IP addresses of a bot net. In both cases, the practicality of these applications depends on efficiently performing joins on millions of secret shared records. For example, our three party protocol can perform a join on two sets of 1 million records in 4.9 seconds or, alternatively, compute the cardinality of this join in just 3.1 seconds.

关键词： Network security

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Vallum-Med: Protecting Medical data in Cloud Environments 20

Vallum-Med: Protecting Medical Data in Cloud Environments

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29th acm International conference on Information and Knowledge Management (CIKM)

作者： Peterson, Ronny da Silva, Altigran Carvalho, Andre Fetzer, Christof Martin, Andre Blanquer, Ignacio Univ Fed Amazonas Manaus Amazonas Brazil Tech Univ Dresden Dresden Germany Univ Politecn Valencia Valencia Spain

ISBN: (纸本)9781450368599

Despite the many advantages of cloud computing, keeping information in such an environment increases the risk of cyber attacks, as well as the possibility of unauthorized access by cloud provider employees. Another critical concern is privacy protection, since depending on data access control, confidential information may be exposed even through authorized access. To solve these issues we have previously proposed Vallum, a platform that leverages Intel SGX protection to ensure the security, confidentiality, and integrity of data at rest and during processing. It also provides tools for privacy protection, following policies set by the data owner. In this demo we present Vallum-Med, an application of Vallum for the protection of medical patient personal data, including imaging results of their cardiac examinations. We will demonstrate that this system fully supports cloud protection of such sensitive data as well as the definition of privacy policies and ensuring that all results of queries are compliant to these policies. All processing, data storage and network traffic are protected using SCONE, a docker container-based technology for seamlessly incorporating SGX protection for applications, which provides a fully encrypted memory environment.

关键词： privacy security Cloud Computing Medical data

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Developing A Compelling Vision for Winning the Cybersecurity Arms Race 20

Developing A Compelling Vision for Winning the Cybersecurity...

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10th acm conference on data and application security and privacy (CODASPY)

作者： Bertino, Elisa Singhal, Anoop Srinivasagopalan, Srivathsan Verma, Rakesh Purdue Univ W Lafayette IN 47907 USA NIST Gaithersburg MD 20899 USA AT&T Cybersecur Austin TX USA Univ Houston Houston TX USA

ISBN: (纸本)9781450371070

In cybersecurity there is a continuous arms race between the attackers and the defenders. In this panel, we investigate three key questions regarding this arms race. First question is whether this arms race is winnable. Second, if the answer to the first question is in the affirmative, what steps we need to take to win this race. Third, if the answer to the first question is negative, what is the justification for this and what steps can we take to improve the state of affairs and increase the bar for the attackers significantly.

关键词： Attacker attacks threats security advanced persistent threat data integrity

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CREPE: A privacy-Enhanced Crash Reporting System 20

CREPE: A Privacy-Enhanced Crash Reporting System

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10th acm conference on data and application security and privacy (CODASPY)

作者： Satvat, Kiavash Shirvanian, Maliheh Hosseini, Mahshid Saxena, Nitesh Univ Illinois Chicago IL 60680 USA Visa Res Foster City CA USA Univ Alabama Birmingham Birmingham AL USA

ISBN: (纸本)9781450371070

Software crashes are nearly impossible to avoid. The reported crashes often contain useful information assisting developers in finding the root cause of the crash. However, crash reports may carry sensitive and private information about the users and their systems, which may be used by an attacker who has compromised the crash reporting system to violate the user's privacy and security. Besides, a single bug may trigger loads of identical reports which excessively consumes system resources and overwhelms application developers. In this paper, we introduce CREPE, a security-concerned crash reporting solution, that effectively reduces the number of submitted crash reports to mitigate the security and privacy risk associated with the current implementation of the crash reporting system. Similar to the currently deployed systems, CREPE aggregates and categorizes the crashes based on their root cause. On top of that, the server marks the crash categories in which sufficient reports have been received as "saturated" and informs the clients periodically through software updates. On the client, CREPE engages the reporting application in categorizing each crash to only submit reports belonging to non-saturated categories. We evaluate CREPE using one year of data from Mozilla crash reporting system containing 38,834,383 reports of Firefox crashes. Our analysis suggests that we can significantly reduce the number of submitted reports by bucketing 100 most frequent crash signatures at the client. This helps to preserve the security and the privacy of a significant portion of users whose data has not been shared with the server due to the redundancy of their crash data with previously submitted reports.

关键词： Crash Reporting Crash Report privacy Crash Report security Browser privacy

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AuthPDB: Authentication of Probabilistic Queries on Outsourced Uncertain data 20

AuthPDB: Authentication of Probabilistic Queries on Outsourc...

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10th acm conference on data and application security and privacy (CODASPY)

作者： Zhang, Bo Dong, Boxiang Sun, Haipei Wang, Wendy Hui Stevens Inst Technol Hoboken NJ 07030 USA Montclair State Univ Montclair NJ USA

ISBN: (纸本)9781450371070

Query processing over uncertain data has gained much attention recently. Due to the high computational complexity of query evaluation on uncertain data, the data owner can outsource her data to a server that provides query evaluation as a service. However, a dishonest server may return cheap (and incorrect) query answers, hoping that the client who has weak computational power cannot catch the incorrect results. To address the integrity issue, in this paper, we design AuthPDB, a framework that supports efficient authentication of query evaluation for both all-answer and top-k queries on outsourced probabilistic databases. Our empirical results on real-world datasets demonstrate the effectiveness and efficiency of AuthPDB.

关键词： data security data outsourcing integrity verification probabilistic database

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