1,721,495 research outputs found
CrypSH: A Novel IoT Data Protection Scheme Based on BGN Cryptosystem
No full textThe Internet of Things (IoT) is an emerging paradigm and has penetrated deeply into our daily life. Due to the seamless connections of the IoT devices with the physical world through the Internet, the IoT applications use the cloud to store and provide ubiquitous access to collected data. Sharing of data with third party services and other users incurs potential risks and leads to unique security and privacy concerns, e.g., data breaches. Existing cryptographic solutions are inapt for resource-constrained IoT devices, because of their significant computational overhead. To address these concerns, we propose a data protection scheme to store the encrypted IoT data in a cloud, while still allowing query processing over the encrypted data. Our proposed scheme features a novel encrypted data sharing scheme based on Boneh-Goh-Nissim (BGN) cryptosystem, with revocation capabilities and in-situ key updates. We perform exhaustive experiments on real datasets, to assess the feasibility of the proposed scheme on the resource constrained IoT devices. The results show the feasibility of our scheme, together with the ability to provide a high level of security. The results also show that our scheme significantly reduces the computation, storage and energy overheads than the best performed scheme in the state-of-the-art
Don't hesitate to share! A novel IoT data protection scheme based on BGN cryptosystem
No full textIn cloud-based Internet of Things (IoT), sharing of data with third-party services and other users, inherently incurs potential risk and leads to unique security and privacy concerns. Existing cryptographic solutions ensure the security of IoT data, but due to their significant computational overhead, most of them are not suitable for resource-constrained IoT devices. To address these concerns, we propose a data protection system to store encrypted IoT data in a cloud while still allowing query processing over the encrypted data. More importantly, our proposed system features a novel encrypted data sharing scheme based on Boneh-Goh-Nissim (BGN) cryptosystem, with revocation capabilities and in-situ key update. We perform exhaustive experiments on real datasets, primarily to assess the feasibility of the proposed system on resource-constrained IoT devices. We next measure the computation overhead, storage overhead and throughput. The experimental results show that our system is not only feasible, but also provides a high level of security. Furthermore, the results show that our system is 34% more computationally faster, requires 25% less storage and 15% more throughput than the best performed system in the state-of-the-art
DISC: A novel distributed on-demand clustering protocol for internet of multimedia things
No full textInternet of Multimedia Things (IoMT) are receiving significant attention due to a wide variety of applications, e.g., wildlife habitat monitoring, but they are often highly resource constrained. Compared to Internet of Things, preserving battery power of nodes, and maximizing the lifespan of IoMT are more critical and challenging as sensed data are mostly image/video instead of simple scalar. Recent studies have shown that clustering is an efficient solution to reduce energy consumption. In clusters, the role of each node changes to reduce energy consumption, thereby, prolonging lifespan. In this paper, we address the lifespan maximization problem in IoMT by designing a clustering protocol where clusters are formed dynamically. Specifically, we analyze and solve an optimization problem aiming to maximize the lifespan by reducing the energy consumption among cluster heads. Based on the analysis, we propose a novel DIStributed on-demand Clustering (DISC) protocol. Our cluster head election procedure is not periodic, but adaptive, based on the dynamism of the occurrence of events. This on-demand execution of DISC aims to significantly reduce computation and message overheads. We validate the performance of DISC through extensive experiments. Experimental results show that DISC is 25% more energy balanced and achieves 32% more lifespan as compared to two state-of-the-art solutions
Secure over-the-air software updates in connected vehicles: A survey
No full textCurrent trends forecast that Over-the-Air (OTA) software updates will be highly significant for future connected vehicles. The OTA update will enable upgrading the vehicle functionalities or bug fixations in the embedded software installed on its Electronic Control Units (ECUs) remotely. The introduction of OTA updates in the automotive industry has brought many advantages for both the Original Equipment Manufacturer (OEM) and the driver/owner. However, in terms of security, OTA updates are highly critical as they need complete access to the in-vehicle communication network. This survey highlights and discusses OTA software updates in the automotive sector, mainly from the security perspective. The major objective of this survey is to deliver a comprehensive outline of various research directions and approaches in OTA update technologies in vehicles. At first, we discuss the connected vehicle technology and then integrate the relationship of OTA update features with the connected vehicle. We further discuss both promising and secure OTA update approaches, that have gained a lot of attention recently. Furthermore, we present a comprehensive comparative study of the existing OTA update approaches on the basis of strengths, weaknesses and evaluation setup. The survey also focuses on the existing vehicle features that support OTA updates, and customer satisfaction and usability. Finally, we identify possible future research directions of OTA updates for automobiles, particularly in the area of security
Secure over-the-air software update for connected vehicles
No full textCurrent trends forecast that Over-the-Air (OTA) software updates will be highly significant for future connected vehicles. The OTA software updates will enable upgrading vehicle functionalities or bug fixations in embedded software installed on electronic control units remotely. However, in terms of security, OTA updates are highly critical as they need complete access to the in-vehicle communication network. Furthermore, scheduling OTA software updates at a massive scale over a cellular network is highly challenging. This paper proposes STRIDE, a novel technique for secure and scalable software updates using cloud through cellular network. STRIDE ensures end-to-end security using ciphertext-policy attribute-based encryption. To enable fast and reliable distribution of update package, we then propose a software update scheduling algorithm to serve dynamic traffic flow. Particularly, we integrate dynamic traffic flow with the Lyapunov-drift analysis framework, and establish throughput optimality of our proposed scheduling algorithm. We evaluate the performance of STRIDE through extensive experiments. Experimental results show that STRIDE reduces more than 52% computation and storage overheads, 60% propagation delay and increases throughput by 35% than the state-of-the-art solutions, in addition to enjoying the stronger security properties
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Distributed denial of service attacks in cloud: State-of-the-art of scientific and commercial solutions
No full textCloud computing model provides on demand, elastic and fully managed computer system resources and services to organizations. However, attacks on cloud components can cause inestimable losses to cloud service providers and cloud users. One such category of attacks is the Distributed Denial of Service (DDoS), which can have serious consequences including impaired customer experience, service outage and in severe cases, complete shutdown and total economic unsustainability. Advances in Internet of Things (IoT) and network connectivity have inadvertently facilitated launch of DDoS attacks which have increased in volume, frequency and intensity. Recent DDoS attacks involving new attack vectors and strategies, have precipitated the need for this survey. In this survey, we mainly focus on finding the gaps, as well as bridging those gaps between the future potential DDoS attacks and state-of-the-art scientific and commercial DDoS attack defending solutions. It seeks to highlight the need for a comprehensive detection approach by presenting the recent threat landscape and major cloud attack incidents, estimates of future DDoS, illustrative use cases, commercial DDoS solutions, and the laws governing DDoS attacks in different nations. An up-to-date survey of DDoS detection methods, particularly anomaly based detection, available research tools, platforms and datasets, has been given. This paper further explores the use of machine learning methods for detection of DDoS attacks and investigates features, strengths, weaknesses, tools, datasets, and evaluates results of the methods in the context of the cloud. A summary comparison of statistical, machine learning and hybrid methods has been brought forth based on detailed analysis. This paper is intended to serve as a ready reference for the research community to develop effective and innovative detection mechanisms for forthcoming DDoS attacks in the cloud environment. It will also sensitize cloud users and providers to the urgent need to invest in deployment of DDoS detection mechanisms to secure their assets
Variations on the Author
Full text link“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
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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