1,720,973 research outputs found

    Secure and Efficient Deduplication over Encrypted Data with Dynamic Updates in Cloud Storage

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    Cloud service providers adopt a deduplication technique to minimize resource utility costs. However, it is one of the most challenging issues to manage the outsourced data in a storage-efficient way when users encrypt data for preserving privacy and frequently update it. When the data is updated, file-level deduplication makes entire copy of updated file although there are small modifications. Block-level deduplication solves this problem, but it requires metadata larger than the outsourced blocks. To address this problem, we propose a hybrid deduplication scheme that minimizes storage overhead. Our scheme performs filelevel deduplication along with isolation of only updated blocks with augmented metadata. The analysis results show that our scheme minimizes storage costs while guaranteeing secure update with efficient verification

    Trust management for resilient wireless sensor networks

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    Utilities of wireless sensor networks are standing out in bold relief in various fields such as home environmental, industrial, and military applications. Compared with the vivid applications of the sensor networks, however, the security and privacy issues of the sensor networks are still in their infancy because unique features of the sensor networks make it difficult to adopt conventional security policies. Especially, false reports are critical threats because they can drain out the finite amount of energy resources in a battery-powered sensor networks; thus, a novel trust management scheme is necessary to make resilient wireless sensor networks. Cryptographic authentication mechanisms and key management schemes cannot suggest solutions for the real root of the problem. In this paper, we propose a trust management scheme which can identify trustworthiness of sensor nodes and suggest a defensible approach against insider attacks beyond conventional cryptographic approaches

    TOWARD ENERGY-EFFICIENT ERROR CONTROL IN 3G BROADCAST VIDEO

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    Energy use is a key issue in battery-operated mobile devices. In order to extend battery life, mobiles showing video often allow a controlled drop in quality, which is tolerable when the shortcomings of a small screen are combined with the imperfections of visual perception. Both energy consumption and video quality are affected by the Reed-Solomon codes and interleaving levels used in 3G video broadcast services. We explore the effect of these elements of MAC-layer error control, and show how they can be manipulated to save energy while maintaining acceptable video quality through a controlled reduction in the number of parity symbols in the Reed-Solomon code and the level of interleaving. © 2002-2012 IEEE.

    Deep Learning-Based Detection for Multiple Cache Side-Channel Attacks

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    A cache side-channel attack retrieves victim's sensitive information from a system by exploiting shared cache of CPUs. Since conventional cache side-channel attacks such as FLUSH+RELOAD and PRIME+PROBE are likely to incur numerous cache events, such as cache hits and misses, many previous strategies have focused on monitoring cache events for attack detection. However, as recently proposed attacks such as PRIME+ABORT have exploited the other events as side-channels, it has become challenging to detect them by monitoring only cache events. In this paper, we investigate PRIME+ABORT attack and identifies Intel TSX hardware events are tightly coupled with it as well as cache events. Based on our finding, we propose a novel deep learning-based cache side-channel attack detection method called FRIME. It can concurrently detect not only the conventional attacks such as FLUSH+RELOAD, PRIME+PROBE, but also PRIME+ABORT by leveraging both event types. In order to demonstrate the efficacy of our cache side-channel attack detection scheme in diverse workload conditions in the real world, we implement it using MLP, RNN, and LSTM deep learning models, demonstrating LSTM-based method outperforms the other implementations in terms of detection accuracy.

    Secure Data Retrieval for Decentralized Disruption-Tolerant Military Networks

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    Mobile nodes in military environments such as a battlefield or a hostile region are likely to suffer from intermittent network connectivity and frequent partitions. Disruption-tolerant network (DTN) technologies are becoming successful solutions that allow wireless devices carried by soldiers to communicate with each other and access the confidential information or command reliably by exploiting external storage nodes. Some of the most challenging issues in this scenario are the enforcement of authorization policies and the policies update for secure data retrieval. Ciphertext-policy attribute-based encryption (CP-ABE) is a promising cryptographic solution to the access control issues. However, the problem of applying CP-ABE in decentralized DTNs introduces several security and privacy challenges with regard to the attribute revocation, key escrow, and coordination of attributes issued from different authorities. In this paper, we propose a secure data retrieval scheme using CP-ABE for decentralized DTNs where multiple key authorities manage their attributes independently. We demonstrate how to apply the proposed mechanism to securely and efficiently manage the confidential data distributed in the disruption-tolerant military network.Manuscript received September 15, 2011; revised February 20, 2012, June 18, 2012; accepted July 23, 2012; approved by IEEE/ACM TRANSACTIONS ON NETWORKING Editor S. Kasera. Date of publication August 15, 2012; date of current version February 12, 2014. This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012R1A1A1001835). (Corresponding author: K. Kang

    Dependable and secure computing in medical information systems

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    Medical information systems facilitate ambulatory patient care, and increase safer and more intelligent diagnostic and therapeutic capabilities through automated interoperability among distributed medical devices. In modern medical information systems, dependability is one of the most important factors for patient safety in the presence of delayed or lost system alarm and data streams due to the intermittent medical device network connection or failure. In addition, since the medical information need to be frequently audited by many human operators as well as the automated medical devices, secure access control is another pivotal factor for patient privacy and data confidentiality against inside or outside adversaries. In this study, we propose a dependable and secure access policy enforcement scheme for disruption-tolerant medical information systems. The proposed scheme exploits the external storage node operated by the device controller, which enables reliable communications between medical devices. Fine-grained data access control is also achieved, while the key escrow problem is resolved such that any curious device controller or key generation center cannot decrypt the private medical data of patients. The proposed scheme allows the device controller to partially decrypt the encrypted medical information for the authorized receivers with their corresponding attributes without leaking any confidential information to it. Thus, computational efficiency at the medical devices is also enhanced by enabling the medical devices to delegate most laborious tasks of decryption to the device controller. (C) 2012 Elsevier B.V. All rights reserved.This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012R1A1A1001835)

    Medical-grade quality of service for real-time mobile healthcare

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    A wireless electrocardiogram case study suggests that current CDMA2000 cellular technology has considerable potential in medical telemetry. Modifications to the network protocol stack ensure the highest data integrity and lowest service delay.Department of Computin

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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