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2014 17th International Conference on Computer and Information Technology (ICCIT)最新文献

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RT-DVS for Power Optimization in Multiprocessor Real-Time Systems 多处理器实时系统中功率优化的RT-DVS
B. Naik, Shirshendu Das, H. Kapoor
Energy saving is extremely important in portable and hand-held devices like laptop and mobile phones. As applications become increasingly sophisticated and processing power increases, the most serious limitation on these devices is the available battery life. One promising technique that provides the best of both low-power and high-performance processors in the real time systems is Dynamic Voltage and Frequency Scaling (DVS). In this paper, we are working on the problem of power optimization for periodic independent real-time tasks that are scheduled over multiprocessors. Theoretically, Real Time tasks are specified with Worst Case Execution Time (WCET). During the operation of the system, the Actual Execution Time (AET) of a task could be a lot smaller than its WCET. We present an Adaptive real time DVS algorithm (Art-DVS) based on AET of tasks. It adapts two state-of-the-art scheduling algorithms Pre-DVS and Post-DVS. Simulation results show that the proposed Art-DVS algorithm performs satisfactorily on energy consumption in comparison to the previous approaches.
对于便携式和手持设备,如笔记本电脑和移动电话,节能是极其重要的。随着应用变得越来越复杂和处理能力的提高,这些设备最严重的限制是可用的电池寿命。动态电压和频率缩放(DVS)是一种在实时系统中提供最佳低功耗和高性能处理器的有前途的技术。在本文中,我们正在研究多处理器调度的周期性独立实时任务的功耗优化问题。理论上,实时任务是用最坏情况执行时间(WCET)来指定的。在系统运行期间,任务的实际执行时间(AET)可能比它的WCET要小得多。提出了一种基于任务AET的自适应实时DVS算法(Art-DVS)。它采用了两种最先进的调度算法:Pre-DVS和Post-DVS。仿真结果表明,与之前的算法相比,本文提出的Art-DVS算法在能量消耗方面具有令人满意的性能。
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引用次数: 3
Detection of Insider Attacks in Cloud Based e-Healthcare Environment 基于云的电子医疗环境中的内部攻击检测
Gaurav Garkoti, S. K. Peddoju, B. Raman
In recent years, Cloud computing has been receiving great attention from various business and research organizations as it promises to provide large storage facilities and highly managed remote services. Due to its characteristics like on-demand self service, rapid elasticity, ubiquitous network access and resource pooling, it shows high potential for providing e-Healthcare solutions. It can offer various financial and functional benefits to e-Healthcare which includes providing storage flexibility for the rapidly growing healthcare data, reduced cost, better accessibility, improved quality of care and enhancement in medical research. However at the same time, it faces many technical challenges like privacy, reliability, security etc. In the Cloud based ehealthcare environment where the patient's data is transferred between entities, maintaining the security of data becomes a priority. Cryptographic techniques can only provide a secure channel of communication but it fails to provide security at end points. Security attacks may be accomplished by the malicious insider at the end points. A malicious insider may modify the patient's data resulting in a false examination. The paper provides a detective approach for such attacks in the healthcare organizations. Our work is focused with the detection of insider attacks for preventing false examination of patient's health records and assuring the accountability of data usage. Watermarking can be used for detection of modification by an insider attack but does not provide accountability of data usage. Hence our approach combines the functionalities of cryptographic techniques and watermarking together with an accountability framework for providing transparency of patient's data usage.
近年来,由于云计算承诺提供大型存储设施和高度管理的远程服务,因此受到了各种业务和研究组织的极大关注。由于其按需自助服务、快速弹性、无处不在的网络访问和资源池等特点,它显示出提供电子医疗保健解决方案的巨大潜力。它可以为电子医疗保健提供各种财务和功能上的好处,包括为快速增长的医疗保健数据提供存储灵活性、降低成本、更好的可访问性、提高护理质量和增强医学研究。但与此同时,它也面临着隐私、可靠性、安全性等诸多技术挑战。在基于云的电子医疗环境中,患者的数据在实体之间传输,维护数据的安全性成为一个优先事项。加密技术只能提供一个安全的通信通道,但它不能提供端点的安全性。安全攻击可能是由恶意的内部人员在端点完成的。恶意的内部人员可能会修改患者的数据,导致错误的检查。本文为医疗机构中的此类攻击提供了一种检测方法。我们的工作重点是检测内部攻击,以防止对患者健康记录进行虚假检查,并确保数据使用的问责制。水印可用于检测内部攻击的修改,但不提供数据使用的问责制。因此,我们的方法结合了加密技术和水印的功能以及提供患者数据使用透明度的问责框架。
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引用次数: 33
PAPAR: Pairing Based Authentication Protocol with Anonymous Roaming for Wireless Mesh Networks 基于配对的无线网状网络匿名漫游认证协议
Nazatul Haque Sultan, N. Sarma
In wireless networks, secure authentication protocol should enable a legitimate roaming user to get roaming services from foreign server when he/she is away from home domain. However, a basic authentication protocol requires participation of home server, foreign server and roaming user during the authentication between roaming user and foreign server. Recently, two-party based anonymous authentication protocols have been proposed, which does not require home server's participation, to protect identity, location and route information of the roaming users. But, the available anonymous authentication protocols are not efficient due to the shortcomings in security and high computational cost. This paper addresses those problems and proposes a novel two-party based anonymous authentication protocol for the roaming users, named PAPAR. PAPAR uses pairing-based cryptography to secure and to provide computationally efficient authentication. Further, PAPAR uses pseudo identities to ensure user anonymity. Moreover, PAPAR efficiently mitigates the effect of DoS (Denial of Service) attack by using light computational operations, such as Message Authentication Code. Comparison and experimental results show that PAPAR outperforms the existing works in terms of security and computational cost.
在无线网络中,安全认证协议应使合法漫游用户在远离本地域的情况下能够从国外服务器获得漫游服务。但是,在漫游用户和外部服务器之间进行身份验证时,基本的身份验证协议需要主服务器、外部服务器和漫游用户的参与。近年来,为了保护漫游用户的身份、位置和路由信息,提出了不需要主服务器参与的两方匿名认证协议。但是,现有的匿名认证协议由于安全性不足和计算成本高,效率不高。针对这些问题,本文提出了一种新的基于两方的漫游用户匿名认证协议——PAPAR。PAPAR使用基于配对的加密技术来保证安全性,并提供计算效率高的身份验证。此外,PAPAR使用伪身份来确保用户匿名。此外,PAPAR通过使用消息认证码等轻量级计算操作,有效地减轻了DoS(拒绝服务)攻击的影响。对比和实验结果表明,PAPAR算法在安全性和计算成本方面都优于现有算法。
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引用次数: 2
Quantum Inspired Binary Neural Network Algorithm 量子启发二进制神经网络算法
O. Patel, Aruna Tiwari
In this paper a novel quantum based binary neural network learning algorithm is proposed. It forms three layer network structure. The proposed method make use of quantum concept for updating and finalizing weights of the neurons and it works for two class problem. The use of quantum concept form an optimized network structure. Also performance in terms of number of neurons and classification accuracy is improved. Same is compared with a quantum-based algorithm for optimizing artificial neural networks algorithm (QANN). It is found that there is improvement in the form of number of neurons at hidden layer, number of iterations, training accuracy and generalization accuracy.
本文提出了一种新的基于量子的二元神经网络学习算法。形成三层网络结构。该方法利用量子概念更新和确定神经元权值,适用于两类问题。利用量子概念形成优化的网络结构。在神经元数量和分类精度方面也得到了提高。并与基于量子的人工神经网络优化算法(QANN)进行了比较。结果表明,该方法在隐层神经元数、迭代次数、训练精度和泛化精度等方面均有提高。
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引用次数: 12
Implementation of Unicode Complaint Odia Keyboard and Its Evaluation Using Cognitive Model Unicode投诉Odia键盘的实现及其认知模型评价
Gouranga Charan Jena, Tirthankar Dasgupta, A. Basu
Odia is the principal regional language of Odisha and the sixth classical language of India. There are more than 33 million people of Odisha speak Odia in their day to day life. However, standard input methods for typing Odia are not very widespread among Odia users. In this paper we present the design and development of a novel Odia keyboard layout that can be used to type Unicode enabled Odia texts in a standard text editor using any QWERTY keyboard. The keyboard layout is based on Unicode 5.0 standard. We have evaluated the performance of our proposed layout with the existing Odia keyboard layouts. We have done this evaluation using cognitive model. Our primary evaluation shows a significant improvement in reducing time irrespective of keystroke, increasing typing speed, reducing error rates as well as easing of learning. We have designed a typing s/w (Baishakhi key logger) for all Odias to learn Odia typing.
奥迪亚语是奥里萨邦的主要地区语言,也是印度的第六种古典语言。奥里萨邦有超过3300万人在日常生活中说奥里萨邦语。然而,用于输入Odia的标准输入法在Odia用户中并不是很普遍。在本文中,我们提出了一种新的Odia键盘布局的设计和开发,该布局可用于在使用任何QWERTY键盘的标准文本编辑器中键入支持Unicode的Odia文本。键盘布局基于Unicode 5.0标准。我们已经用现有的Odia键盘布局评估了我们提出的布局的性能。我们使用认知模型进行了评估。我们的初步评估显示,在减少敲击键盘的时间、提高打字速度、降低错误率以及简化学习方面有了显著的改进。我们为所有奥迪亚人设计了一个打字记录仪(白沙基键盘记录仪)来学习奥迪亚打字。
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引用次数: 2
Half-Perimeter Wirelength Model for VLSI Analytical Placement VLSI分析放置的半周长模型
B. Ray, A. Tripathy, Pralipta Samal, Manimay Das, Pushpanjali Mallik
Placement is a crucial stage in physical design of VLSI. At this stage, analytical placer uses half perimeter wire length (HPWL) of the circuit as an objective function to place blocks optimally within chip. Inspired by popularly used log-sum-exp (LSE) wire length model [9], absolute (ABS) wire length model [7] and weighted average (WA) wire length model [3], we propose a new smooth wire length model for HPWL, providing smooth approximations to max function. The convergence. Properties, error upper bounds of the new model are studied. The accuracy of the new model is sharper than LSE, WA and ABS wire length model. Wire length is validated by global and detail placements generated by NTU Placer [1] on ISPD 2004 benchmark suits. Experimental results show that our model provides closest approximation to HPWL than all wire length models, with an average of 2% error in total wire length.
封装是超大规模集成电路物理设计的关键环节。在这一阶段,分析砂矿机使用电路的半周长(HPWL)作为目标函数,在芯片内最佳地放置块。受常用的对数和exp (LSE)导线长度模型[9]、绝对(ABS)导线长度模型[7]和加权平均(WA)导线长度模型[3]的启发,我们提出了一种新的HPWL平滑导线长度模型,提供了对max函数的平滑逼近。收敛。研究了新模型的性质和误差上界。新模型的精度比LSE、WA和ABS线长模型的精度更高。电线长度通过NTU Placer[1]在ISPD 2004基准套装上生成的全局和细节放置来验证。实验结果表明,该模型比所有线长模型更接近HPWL,总线长误差平均为2%。
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引用次数: 4
A Semi-automated System for Optic Nerve Head Segmentation in Digital Retinal Images 数字视网膜图像中视神经头分割的半自动化系统
Sayan Chakraborty, Aniruddha Mukherjee, Debmalya Chatterjee, Prasenjit Maji, S. Acharjee, N. Dey
Out of the twelve pairs of cranial nerves, optic nerve is the most important cranial nerve. Optic nerve establishes a connection from eyeball to brain. The four segments present in optic are: intraocular, intra-orbital, intracanalicular, and intracranial. Optical nerve head segmentation may lead to detection of many diseases such as glaucoma, eye hypertension. We propose a semi-automated system, where independent contours are defined, and then with the help of those ground truths, a person with medical education and solid experience in ophthalmology will be able to manually set the contours. Such a process would result in extracting information regarding optic diseases like glaucoma, diabetic retinopathy, age-related macular degeneration, retinal vascular occlusion.
在十二对脑神经中,视神经是最重要的脑神经。视神经连接眼球和大脑。视神经有四个节段:眼内、眶内、管内和颅内。视神经头分割可用于青光眼、眼高血压等多种疾病的检测。我们提出了一个半自动化的系统,其中独立的轮廓被定义,然后在这些基本事实的帮助下,具有医学教育和扎实的眼科经验的人将能够手动设置轮廓。这样的过程将导致提取信息的光学疾病,如青光眼,糖尿病视网膜病变,年龄相关性黄斑变性,视网膜血管闭塞。
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引用次数: 15
TabSol: An Efficient Framework to Defend Tabnabbing TabSol:一个有效的框架来保护Tabnabbing
Amandeep Singh, S. Tripathy
Phishing attack is one of the most common cyber attacks causing serious threat to global cyber world and economy. Tab nabbing is a variant of phishing attack evolved recently, in which a malicious page opened in the tab disguises itself to the login page of a popular one, like gmail or facebook, so as to defeat the traditional phish detection mechanisms. In this paper, we propose an efficient security framework called Tab Sol to defend against Tab nabbing attack while detecting the other variants of phishing attacks. We developed and tested Tab Sol in the Google chrome browser and found to be effective. The proposed framework is compared with the existing frameworks and fund to more effective. The most attractive features of Tab Sol includes its simple and fast implementation with less false positive.
网络钓鱼攻击是最常见的网络攻击之一,对全球网络世界和经济造成严重威胁。标签劫持是最近发展起来的网络钓鱼攻击的一种变体,在标签中打开的恶意页面将自己伪装成流行页面的登录页面,如gmail或facebook,以挫败传统的网络钓鱼检测机制。在本文中,我们提出了一个称为Tab Sol的有效安全框架,以防御Tab抓取攻击,同时检测其他类型的网络钓鱼攻击。我们在Google chrome浏览器中开发并测试了Tab Sol,发现它很有效。所提出的框架与现有的框架和基金进行了比较,更加有效。Tab Sol最吸引人的特点包括其简单、快速的实现和较少的误报。
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引用次数: 5
Non-intrusive Water Surface Velocity Measurement Using Spatial Cross Correlation Technique 空间相互关技术的非侵入式水面速度测量
Nitika Sharma, Apurva Naik, M. Balan
The limitation with the method of calculating surface water velocity is the direct contact of the velocity measurement tool to the flowing water which results in the mechanical wear and high maintenance cost. This paper describes the flow visualization and surface water velocity measurement technique using the non-intrusive method. This system gives the instantaneous results and is reliable, flexible method which can be applied successfully in many engineering applications. It is a distension of a video imaging technique to measure the velocity using the pattern matching method. The system was indigenously developed with the help of CMOS camera and paper particles which were used as the tracer particles. If video is taken from far distance then ortho-rectification is applied to calculate accurate results. Video was recorded at Bombay airport model, CWPRS, Pune under different environmental conditions. The code is written in MATLAB which includes segmentation, pattern matching and post processing steps.
地表水速度计算方法的局限性是测速工具与流动的水直接接触,造成机械磨损,维修费用高。本文介绍了采用非侵入式方法的流动显示和地表水速度测量技术。该系统具有快速、可靠、灵活的特点,可成功应用于多种工程应用中。利用模式匹配法测量速度是视频成像技术的一个扩展。该系统是利用CMOS相机和纸粒子作为示踪粒子,自主开发的。如果视频是从远处拍摄的,则应用正交校正来计算准确的结果。视频是在孟买机场模型,CWPRS,浦那在不同的环境条件下录制的。该代码是用MATLAB编写的,包括分割,模式匹配和后处理步骤。
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引用次数: 1
Hierarchical Homomorphic Encryption Based Privacy Preserving Distributed Association Rule Mining 基于分层同态加密的隐私保护分布式关联规则挖掘
Shubhra Rana, P. S. Thilagam
Privacy is an important issue in the field of distributed association rule mining, where multiple parties collaborate to perform mining on the collective data. The parties do not want to reveal sensitive data to other parties. Most of the existing techniques for privacy preserving distributed association rule mining suffer from weak privacy guarantees and have a high computational cost involved. We propose a novel privacy preserving distributed association rule mining scheme based on Paillier additive homomorphic cryptosystem. The experimental results demonstrate that the proposed scheme is more efficient and scalable compared to the existing techniques based on homomorphic encryption.
隐私是分布式关联规则挖掘领域的一个重要问题,在分布式关联规则挖掘中,多方协作对集体数据进行挖掘。双方不希望将敏感数据泄露给其他各方。现有的保护隐私的分布式关联规则挖掘技术大多存在隐私保障不强、计算成本高的问题。提出了一种新的基于Paillier加性同态密码系统的隐私保护分布式关联规则挖掘方案。实验结果表明,与现有的基于同态加密的方案相比,该方案具有更高的效率和可扩展性。
{"title":"Hierarchical Homomorphic Encryption Based Privacy Preserving Distributed Association Rule Mining","authors":"Shubhra Rana, P. S. Thilagam","doi":"10.1109/ICIT.2014.14","DOIUrl":"https://doi.org/10.1109/ICIT.2014.14","url":null,"abstract":"Privacy is an important issue in the field of distributed association rule mining, where multiple parties collaborate to perform mining on the collective data. The parties do not want to reveal sensitive data to other parties. Most of the existing techniques for privacy preserving distributed association rule mining suffer from weak privacy guarantees and have a high computational cost involved. We propose a novel privacy preserving distributed association rule mining scheme based on Paillier additive homomorphic cryptosystem. The experimental results demonstrate that the proposed scheme is more efficient and scalable compared to the existing techniques based on homomorphic encryption.","PeriodicalId":6486,"journal":{"name":"2014 17th International Conference on Computer and Information Technology (ICCIT)","volume":"72 1","pages":"379-385"},"PeriodicalIF":0.0,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90727998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
期刊
2014 17th International Conference on Computer and Information Technology (ICCIT)
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