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A secure routing protocol for mobile Ad hoc networks

A secure routing protocol for mobile Ad hoc networks

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6th IEEE/ACIS international conference on Computer and information Science in conjunction with 1st IEEE/ACIS international Workshop on e-Activity

作者： Li, Zhitang Shi, Shudong Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Peoples R China Hubei Normal Univ Dept Comp Sci Huangshi 435002 Peoples R China

ISBN: (纸本)9780769528410

Mobile ad hoc networking (MANET) has become an exciting and important technology in recent years because of the rapid proliferation of wireless devices. In this paper, we present MSRP (secure routing protocol for mobile);a secure routing protocol for mobile ad hoc networks that mitigates the detrimental effects of malicious behavior, as to provide correct connectivity information. The protocol guarantees that fabricated, compromised, or replayed route replies would either be rejected or never reach back the querying node. Furthermore, the protocol responsiveness is safeguarded under different types of attacks that exploit the routing protocol itself. The sole requirement of the protocol is that any two nodes that wish to communicate securely can simply establish a priori shared secret, to be used by their routing protocol modules. Specifically, no assumption is made regarding the intermediate nodes, which may exhibit arbitrary and malicious behavior. The scheme is robust in the presence of a number of non-colluding nodes, and provides accurate routing information in a timely manner.

关键词： Routing protocols Mobile ad hoc networks Communication system security Computer science Network topology information security Ad hoc networks Broadcasting Wireless communication Mobile computing

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Research on dynamic change of grassland in west Jilin province based on 3s technology

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1st international conference on Computer and computing Technologies in Agriculture (CCTA 2007)

作者： Liu, Zhiming Ling, Nanyan NE Normal Univ Changchun 130024 Peoples R China

ISBN: (纸本)9780387772509

Grassland had been interpreted with the method that combined supervised and non-supervised classifications using Landsat data in autumns 1986, 1996 and 2000. The amelioration of algorithm promoted the accuracy. With the support of RS and GIS, spatial information of grassland landscape in west Jilin province from 1986 to 2000 was extracted, spatio-temporal dynamics of grassland and change of grassland landscape patterns were analyzed. The results show: 1) The grassland environment in the west Jilin is exacerbating and the area of grassland is decreasing by an average of 4.5x 104 hectares a year, moreover, the grassland degeneration is severe and the area of degeneration is 81.1% of the total. 2) The degeneration of the grassland is heavier and the proportions of moderate and heavy degenerated grassland are heightening obviously, so their evaluative trends are remarkable. 3) The degenerated grassland is mainly converted into cropland and saline-alkalized land, converted area reaches 992351.4hm(2) and 563031.1hm(2). 4) The total dynamic degree of grassland is a minus value. During 1986-1996, high coverage grassland has a strong effect on change of whole grassland. The fastest degraded area is low coverage grassland from 1996 to 2000.

关键词： grassland spatio-temporal change dynamic degree remote sensing images geography information system west Jilin province

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Enhanced Image Compression Technique to Improve Image Quality for Mobile Applications 1st

Enhanced Image Compression Technique to Improve Image Qualit...

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1st FICR international conference on Rising Threats in Expert Applications and Solutions, FICR-TEAS 2020

作者： Mayukha, S. Sundaresan, M. Department of Information Technology Bharathiar University CoimbatoreTamilnadu India

ISBN: (纸本)9789811560132

The concepts of image resizing and compression of images in mobile applications are discussed. The techniques which are currently existing can be enhanced to achieve improved image quality. Various types of image compressions are examined here. Other features such as coding process and image formats such as JPEG, PNG, and RAW are also discussed. The performance of the proposed resizing and compression algorithm was analyzed by means of Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR), structured Similarity Index (SSIM) to determine the quality of the image. This technique improves the quality of the image transferred over the internet through mobile applications. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Image compression

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Improving image compression through the use of evolutionary computing algorithms

Improving image compression through the use of evolutionary ...

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1st international conference on Data Management and Security: Applications in Medicine, Sciences and Engineering, DATA 2013

作者： López-Granado, O. Galiano, V. Martí, A. Migallón, H. Martínez-Rach, M. Piñol, P. Malumbres, M.P. Miguel Hernandez University Spain Universidad Politécnica de Valencia Spain

ISBN: (纸本)9781845647087

Discrete Wavelet Transform has proved to be powerful for image compression because it is able to compact frequency and spatial localization of image energy into a small fraction of coefficients. For a long time it was assumed that there is no compression gain when coding the sign of wavelet coefficients. However, several attempts were carried out and several image encoders like JPEG 2000 include sign coding capabilities. In this paper, we analyze the convenience of including sign coding techniques in tree-based wavelet image encoders, showing their benefits (bit-rate saving). In order to exploit the scarce redundancy of wavelet coefficients sign, we propose the use of machine learning approaches, like evolutionary algorithms, to find the best sign prediction scheme that maximizes the resulting compression *** have developed a sign predictionmodule based on the results provided by the evolutionary algorithms, which it is able to work with whatever the tree-based wavelet encoder like SPIHT, LTW, and others. After performing several experiments, we have observed that, by including the proposed sign coding capabilities, the sign compression gain is up to 17%. These results show that sign coding techniques are of interest for improving compression rate, especially when working with large images (2 Mpixel and beyond) at low compression rates (high quality). © 2013 WIT Press.

关键词： Image compression

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Lossless Audio steganography in Spatial Domain (LASSD)

Lossless Audio Steganography in Spatial Domain (LASSD)

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1st international conference on Frontiers in Intelligent computing: Theory and Applications, FICTA 2012

作者： Pal, Dipankar Goswami, Anirban Ghoshal, Nabin Dept. of Computer Science and Engineering Techno India EM 4/1 Salt Lake Sec-V Kolkata 700091 India Dept. of Information Technology Techno India EM 4/1 Salt Lake Sec-V Kolkata 700091 India Dept. of Engineering and Technological Studies University of Kalyani Kalyani Nadia-741235 West Bengal India

ISBN: (纸本)9783642353130

In our proposed work we put an effort to make the technique of standard Least Significant Bit (LSB) coding more secured to embed secret information within an audio file. The prime focus here is to transmit any secret message using an audio signal which can only be retrieved by the intended recipient, while keeping the original characteristics of the carrier audio signal unaltered. In order to achieve the objective, a hash function has been devised to generate pseudorandom positions for insertion and extraction of the secret data bits. In the process of embedding sample amplitude values are read from the source audio and secret data bits are embedded in each of the sample values sequentially at pseudorandom positions. In the process of extraction the reverse technique is applied. Experimental results, both objective and subjective, reveal enhanced performance in terms of imperceptibility and security of the proposed technique. © 2013 Springer-Verlag.

关键词： Hash functions

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Human Facial Expression Based Video Retrieval with Query Video Using EBCOT and MLP 1

引用

1st international conference on Mathematical Modeling and Computational Science, ICMMCS 2020

作者： Jeyalaksshmi, S. Akila, D. Padmapriya, D. Suseendran, G. Pal, Souvik Department of Information Technology Vels Institute of Science Technology & Advanced Studies Chennai India Global Institute of Management and Technology Krishnagar India

ISBN: (数字)9789813343894

ISBN: (纸本)9789813343887

We can find a massive demand for systems that retrieve video with a query as image or video since the text-based retrieval system (text, images, video) was obsolete and the content-based video retrieval oriented. For many applications, ‘it is essential for retrieving videos from the extensive database with image and video query for content linking and brand monitoring. In this paper, a new video retrieval scheme developed for retrieving videos from an extensive database with a video query. The process uses EBCOT (Embedded Block coding with Optimization Truncation) coding for feature extraction and MLP (Multilayer Perceptron) for classification and retrieval. The process uses videos with human facial expression as query and related videos with similar facial expression can be retrieved. The process carried out with three phases i)facial expression recognition ii)frame indexing iii)video indexing and retrieving. This methodology does video retrieval process in which video gives as a query for which facial expression has been recognized videos in the database are indexed with the corresponding expression and finally retrieval has been performed thus in this method retrieval scalability has been improved significantly. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Database systems

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Volunteer computing Project SiDock@home for Virtual Drug Screening Against SARS-CoV-2 1

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1st IFIP TC 5 international conference on Computer Science Protecting Human Society Against Epidemics, ANTICOVID 2021

作者： Nikitina, Natalia Manzyuk, Maxim Podlipnik, Črtomir Jukić, Marko Karelian Research Center of the Russian Academy of Sciences Institute of Applied Mathematical Research Petrozavodsk185910 Russia Internet Portal BOINC.Ru Moscow Russia Faculty of Chemistry and Chemical Technology University of Ljubljana Ljubljana1000 Slovenia Laboratory of Physical Chemistry and Chemical Thermodynamics Faculty of Chemistry and Chemical Engineering University of Maribor Maribor2000 Slovenia Faculty of Mathematics Natural Sciences and Information Technologies University of Primorska Koper6000 Slovenia

ISBN: (数字)9783030865825

ISBN: (纸本)9783030865818

In this paper, we describe a volunteer computing project SiDock@home aimed at high-throughput virtual screening of a specially developed library of small compounds against a set of targets playing important roles in the life-cycle of the virus. The originality of the screening library and the molecular docking software allows us to obtain new knowledge about chemical space in relation to SARS-CoV-2. At the same time, the existing volunteer computing community provides us with a large computational power. Having risen to a size of a modern supercomputer in several months, SiDock@home becomes an independent general drug discovery project, with its first mission targeting SARS-CoV-2. © 2021, IFIP international Federation for information Processing.

关键词： Coronavirus

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A simulation for real time data compression

A simulation for real time data compression

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international conference on information technology: coding and computing (itcc)

作者： T.L.P. Pham Hanoi University of Technology Vietnam

This paper presents one new basic step in real time data compression. The data under compression are random sequence of variable Y which at time t:y/sub 0/, y/sub 1/, ..., y/sub t/ have occurred. Y-random integer-{0, 1, ..., N-1}. So, at time t, if we produce Y~/sub t+1/ to be really a subset to Y so that y/sub t+1//spl isin/Y~/sub t+1/ then we can write or send the index of y/sub t+1/ in Y~/sub t+1/ instead of y/sub t+1/. To do it we create a function F, which learned from some recent past Y by the fixed rules, to map a known set onto V. The known set is the set known by both sender and receiver, and also, the function F is automatically created the same at both sides.

关键词： Data compression Rain Reactive power Read only memory Writing Sun Calendars statistical distributions

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Hand-dorsa vein recognition based on coded and weighted partition local binary patterns

Hand-dorsa vein recognition based on coded and weighted part...

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1st international conference on Hand-basedBiometrics, ICHB 2011

作者： Wang, Yiding Li, Kefeng Shark, Lik-Kwan Varley, Martin R. College of Information Engineering North China University of Technology Beijing China School of Computing Engineering and Physical Sciences University of Central Lancashire Preston PR1 2HE United Kingdom

ISBN: (纸本)9781457704901

In this paper, a new feature descriptor is presented and proposed for personal verification based on near infrared images of hand-dorsa veins. This new feature descriptor is a modification of the previously proposed partition local binary patterns (PLBP) by adding feature weighting and error correction coding (ECC). While addition of feature weighting aims to reduce the influence of insignificant local binary patterns, addition of ECC aims to increase the distances between feature classes by utilizing the systematic redundancy that has been widely used to achieve reliable data transmission in noisy channels. Using a large database with more than two thousand hand-dorsa vein images, the resulting new feature descriptor, named Coded and Weighted PLBP (WCPLBP), is shown to be more effective than the original PLBP without feature weighting and ECC, and offers a better performance in recognition of hand-dorsa vein images with a correct recognition rate reaching approximately 99% using a simple nearest neighbor classifier. © 2011 IEEE.

关键词： Local binary pattern

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steganalysis of Adaptive steganography Under the Known Cover Image 1st

Steganalysis of Adaptive Steganography Under the Known Cover...

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1st international conference on Security and Privacy in Digital Economy, SPDE 2020

作者： Li, Jialin Luo, Xiangyang Zhang, Yi Zhang, Pei Yang, Chunfang Liu, Fenlin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9789811591280

Digital image steganography is one of the important ways to achieve covert communication to protect users’ data privacy. steganalysis technology is the key technology to check the security of steganography, and the extraction of embedded messages is an important challenge for image steganalysis technology. Existing methods are for plain text embedding or only for certain special scenarios, they are not applicable to the extraction under the known cover image. To this end, this paper proposes a method of extracting embedded messages under the condition of the known cover images. First, the stCs encoding process is analyzed using the syndrome trellis. Second, a path in the syndrome trellis can be obtained by using the stego sequence and a certain parity-check matrix. Meanwhile, the embedding process can also be partially simulated using the cover sequence and the parity-check matrix. By comparing whether the paths are consistent, the coding parameters can be quickly filtered to find the correct submatrices and extract the correct embedded messages. This algorithm avoids the second embedding of all possible secret messages, which significantly improves the efficiency of coding parameter recognition. The experimental results show that the proposed method can identify stCs parameters of stego images using HUGO steganography in a short time, so as to realize the extraction of embedded messages. © 2020, Springer Nature Singapore Pte Ltd.

关键词： steganography

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