Generally, if a user wants to use numerous different network services, he/she must register himself/herself to every service providing server. It is extremely hard for users to remember these ...different identities and passwords. In order to resolve this problem, various multi-server authentication protocols have been proposed. Recently, Sood et al. analyzed Hsiang and Shih's multi-server authentication protocol and proposed an improved dynamic identity based authentication protocol for multi-server architecture. They claimed that their protocol provides user's anonymity, mutual authentication, the session key agreement and can resist several kinds of attacks. However, through careful analysis, we find that Sood et al.'s protocol is still vulnerable to leak-of-verifier attack, stolen smart card attack and impersonation attack. Besides, since there is no way for the control server CS to know the real identity of the user, the authentication and session key agreement phase of Sood et al.'s protocol is incorrect. We propose an efficient and security dynamic identity based authentication protocol for multi-server architecture that removes the aforementioned weaknesses. The proposed protocol is extremely suitable for use in distributed multi-server architecture since it provides user's anonymity, mutual authentication, efficient, and security.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Although it has achieved considerable progress in recent years, recognizing irregular text in natural scene is still a challenging problem due to the distortion and background interference. The prior ...works use either spatial transformation network(STN) or 2D Attention mechanism to improve the recognition accuracy. However, STN-based methods are not robust as the limited network capacity while 2D Attention-based methods are highly interfered by fuzziness, distortion and background. In this paper, we propose a text recognition model CarveNet which consists of three substructures:
feature extractor
,
feature filter
and
decoder
.
Feature extractor
utilizes FPN (Feature Pyramid Network) to aggregate multi-scale hierarchical feature maps and obtain a larger receptive field. Then,
feature filter
composed of stacked Residual Channel Attention Block is followed to separate text features from background interference. The 2D self-attention-based decoder generates the text sequence according to the output of feature filter and the previously generated symbols. Extensive evaluation results show CarveNet achieves state-of-the-art on both regular and irregular scene text recognition benchmark datasets. Compared with the previous work based on 2D self-attention, CarveNet achieves accuracy increases of 2.3 and 4.6% on irregular dataset SVTP and CT80.
Full text
Available for:
EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
3.
Data Security and Privacy in Cloud Computing Sun, Yunchuan; Zhang, Junsheng; Xiong, Yongping ...
International Journal of Distributed Sensor Networks,
01/2014, Volume:
10, Issue:
7
Book Review, Journal Article
Peer reviewed
Open access
Data security has consistently been a major issue in information technology. In the cloud
computing environment, it becomes particularly serious because the data is located in
different places even ...in all the globe. Data security and privacy protection are the two
main factors of user's concerns about the cloud technology. Though many techniques on the
topics in cloud computing have been investigated in both academics and industries, data
security and privacy protection are becoming more important for the future development of
cloud computing technology in government, industry, and business. Data security and
privacy protection issues are relevant to both hardware and software in the cloud
architecture. This study is to review different security techniques and challenges from
both software and hardware aspects for protecting data in the cloud and aims at enhancing
the data security and privacy protection for the trustworthy cloud environment. In this
paper, we make a comparative research analysis of the existing research work regarding the
data security and privacy protection techniques used in the cloud computing.
Multipath Transport Control Protocol (MPTCP) is a transport layer protocol that enables multiple TCP connections across various paths. Due to path heterogeneity, it incurs more energy in a multipath ...wireless network. Recent work presents a set of approaches described in the literature to support systems for energy consumption in terms of their performance, objectives and address issues based on their design goals. The existing solutions mainly focused on the primary system model but did not discourse the overall system performance. Therefore, this paper capitalized a novel stochastically multipath scheduling scheme for data and path capacity variations. The scheduling problem formulated over MPTCP as a stochastic optimization, whose objective is to maximize the average throughput, avoid network congestion, and makes the system more stable with greater energy efficiency. To design an online algorithm that solves the formulated problem over the time slots by considering its mindrift-plus penalty form. The proposed solution was examined under extensive simulations to evaluate the anticipated stochastic optimized MPTCP (so-MPTCP) outcome and compared it with the base MPTCP and the energy-efficient MPTCP (eMPTCP) protocols. Simulation results justify the proposed algorithm's credibility by achieving remarkable improvements, higher throughput, reduced energy costs, and lower-end to end delay. Keywords: Multipath Transmission, Energy Efficiency, Stochastic Optimization
Multipath Transport Control Protocol (MPTCP) is a transport layer protocol that enables multiple TCP connections across various paths. Due to path heterogeneity, it incurs more energy in a multipath ...wireless network. Recent work presents a set of approaches described in the literature to support systems for energy consumption in terms of their performance, objectives and address issues based on their design goals. The existing solutions mainly focused on the primary system model but did not discourse the overall system performance. Therefore, this paper capitalized a novel stochastically multipath scheduling scheme for data and path capacity variations. The scheduling problem formulated over MPTCP as a stochastic optimization, whose objective is to maximize the average throughput, avoid network congestion, and makes the system more stable with greater energy efficiency. To design an online algorithm that solves the formulated problem over the time slots by considering its min-drift-plus penalty form. The proposed solution was examined under extensive simulations to evaluate the anticipated stochastic optimized MPTCP (so-MPTCP) outcome and compared it with the base MPTCP and the energy-efficient MPTCP (eMPTCP) protocols. Simulation results justify the proposed algorithm's credibility by achieving remarkable improvements, higher throughput, reduced energy costs, and lower-end to end delay.
With the purpose of using numerous different network services with single registration, various multi-server authentication schemes have been proposed. Furthermore, in order to protect the users from ...being tracked when they login to the remote server, researchers have proposed some dynamic ID based remote user authentication schemes for multi-server environments. Recently, Lee et al. have pointed out the security weaknesses of Hsiang and Shih’s dynamic ID based multi-server authentication scheme, and proposed an improved dynamic ID based authentication scheme for multi-server environments. They claimed that their scheme provided user anonymity, mutual authentication, session key agreement and can resist several kinds of attacks. In this paper, however, we find that Lee et al.’s scheme is still vulnerable to forgery attack and server spoofing attack. Besides, their scheme cannot provide proper authentication if the mutual authentication message is partly modified by the attacker. In order to remove these security weaknesses, we propose a novel smart card and dynamic ID based authentication scheme for multi-server environments. In order to protect the user from being tracked, the proposed scheme enables the user’s identity to change dynamically when the user logs into the server. The proposed scheme is suitable for use in multi-server environments such as financial security authentication since it can ensure security while maintaining efficiency.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Abstract
With the rapid maturity and development of positioning technology, location-based service (LBS) has become an indispensable part of many industries in social life and national economy, ...including transportation, social platforms, medical fields, military National defense, etc. With the rapid promotion of wireless network technology and the continuous enrichment of related application fields, LBS has become more complete and convenient, and has a wide range of application prospects. LBS refers to providing location-related services to users through location sharing. In the traditional centralized management mode, problems such as location privacy leakage and location information tampering caused by third parties have brought huge security risks to users. Taking into account the distributed data storage method of the blockchain and the characteristics of openness and autonomy, this paper uses the blockchain to realize the decentralized storage of location information, and on this basis, research and design the location of multi-level privacy protection. The sharing scheme eliminates the security problems caused by third parties and realizes the security of user location information shared.
The fingerprint positioning based on received signal strength has a widespread development in many applications since the technology does not depend on additional hardware deployment. However, the ...site survey process which is executed before fingerprint positioning is time consuming and labor intensive. Sampling cell size directly affects the localization precision and the survey workload. We propose a sampling cell size optimization method to release the survey workload while holding the precision. We adopted the Gaussian process model to estimate the received signal strength based on some samples and used the inherent maximum Euclidean error of fingerprint vectors to compute the optimal cell size. We conduct some experiments to validate the efficiency of the mechanism. And the results show that our method can largely reduce the workload of the site survey process.
Document binarization is a crucial pre-processing step for various document analysis tasks. However, existing methods fail to accurately capture stroke edges, primarily due to the inherent ...limitations of vanilla convolutions and the absence of adequate boundary-related supervision during stroke edge extraction. In this paper, we formulate text extraction as the learning of gating values and propose an end-to-end network architecture based on gated convolutions, named GDB, to address the problem of imprecise stroke edge extraction. The gated convolutions enable the selective extraction of stroke feature with different attention. Our proposed framework comprises two stages. Firstly, a coarse sub-network with an extra edge branch is trained to enhance the precision of feature maps by incorporating a priori mask and edge information. Secondly, a refinement sub-network is cascaded to enhance the output of the first stage using gated convolutions based on the sharp edges. To effectively incorporate global information, GDB also integrates a parallelized multi-scale operation that combines local and global features. We conduct comprehensive experiments on ten Document Image Binarization Contest (DIBCO) datasets from 2009 to 2019 and Document Deblurring Datasets. Experimental results show that our proposed methods outperform the state-of-the-art methods across all metrics on average. Extensive ablation studys demonstrate the efficacy of key components. Available codes: https://github.com/Royalvice/GDB.
•We propose a novel end-to-end document binarization method using gated convolutions.•We solve the problem of imprecise stroke edge extraction by gated convolutions.•We visualize the gating values to explain the effectiveness of gated convolutions.•The network with multi-scale fusion and edge branch is trained on multiple losses.•The proposed method outperforms state-of-the-art methods on DIBCO datasets.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
A new method, which assumes ϕ' with a function form of f(eϕ), is applied to solve the Dodd-Bullough equation ϕuv=eϕ-e-2ϕ through travelling-wave transformation. A new family of explicit travelling ...wave solutions is derived. The proposed method works efficiently to be applied to solve other forms of Dodd-Bullough equations.
Full text
Available for:
FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, UL, UM, UPUK
PDF
