International Journal on Future Revolution in Computer Science & Communication Engineering
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Bio- Matric Intelligent ATM System
Get PDFNow a day, peoples have multiple bank accounts so money transactions play a vital role in the nature of trade. Today, ATMs and Credit cards are used for this purpose, the authentication of these transactions are unsecure. To overcome this shortcoming of money transactions, we proposes the idea of using fingerprints of customers as login multiple banking password in place of traditional pin number. Here, if the fingerprint is recognized, then it display the multiple banking screen. Then we can choose the bank which we need for transaction. The remaining feature are same as i.e., a reference fingerprint of the nominee or a close family member of the customer can be used if the customer is not available in case of emergencies. This proposed business model helps the society, mainly the rural people, by enhancing the security using Fingerprint recognition in Digital image processing. As the fingerprint of every person is unique and unchangeable, this biometric feature is used over the others
Diabetes and Hard Disease Detection Algorithm
Get PDFdiebetise detection we are using a detection technique using an algorithm based on k map technique this technique is helpful for the detection of disease in effective manner and smooth way. The k map method has two comparative way which has to be compared and get result in the form of graph or table .this algorithm is to be achieved in R programming
Algorithmic Implementation of Load Balancing �in Wireless LAN
Get PDFIntra domain traffic engineering (TE) has become an indispensable tool for Internet Service Providers (ISPs) to optimize network performance and utilize network resources efficiently. Various explicit routing TE methods were recently proposed and have been able to achieve high network performance. However, explicit routing has high complexity and requires Large Ternary Content Addressable Memories (TCAMs) in the routers. Moreover, it is costly to deploy explicit routing in IP networks. In this project, we present an approach, called Generalized Destination-Based Multipath Routing (GDMR), to achieve the high performance as explicit routing. The main contribution of this project is to enhance an arbitrary explicit routing can be converted to a loop-free destination-based routing without any performance penalty for a given traffic matrix. We present a systematic approach including a heuristic algorithm to realize GDMR. Extensive evaluation demonstrates the effectiveness and robustness of GDMR
Analysis of Big Data Processing Using HDM Framework
Get PDFMapReduce and Spark have been introduced to ease the task of developing big data programs and applications. However, the jobs in these frameworks are roughly defined and packaged as executable jars without any functionality being exposed or described. This means that deployed jobs are not natively composable and reusable for subsequent development. Besides, it also hampers the ability for applying optimizations on the data flow of job sequences and pipelines. The Hierarchically Distributed Data Matrix (HDM) which is a functional, strongly-typed data representation for writing composable big data applications. Along with HDM, a runtime framework is provided to support the execution, integration and management of HDM applications on distributed infrastructures. Based on the functional data dependency graph of HDM, multiple optimizations are applied to improve the performance of executing HDM jobs. The experimental results show that our optimizations can achieve improvements between 10% to 30% of the Job-Completion-Time and clustering time for different types of applications when compared
A Review on Various Energy Efficient Techniques in Cloud Environment
Get PDFCloud computing is web based mostly development and use of engineering. it is a mode of computing within which dynamically scalable and sometimes virtualized resources are provided as a service over the web. Users needn't have data of, experience in, or management over the technology infrastructure "in the cloud" that supports them. programming is one of the core steps to with efficiency exploit the capabilities of heterogeneous computing systems. On cloud computing platform, load equalisation of the whole system will be dynamically handled by using virtualization technology through that it becomes potential to remap virtual machine and physical resources in step with the modification in load. However, so as to boost performance, the virtual machines ought to totally utilize its resources and services by adapting to computing setting dynamically. The load balancing with correct allocation of resources should be bonded so as to boost resource utility and energy efficiency
Calorie Estimation from Fast Food Images Using Support Vector Machine
Get PDFCalorie estimation is one of the interesting area of research nowadays. The proposed model focuses on estimation of number of calories in the food item by just taking its image as input. Some image processing operations are performed on the image of food item followed by machine learning technique known as support vector machine(SVM). We took data from different resources [20] [21] [22], compile them to create our own dataset. Augmented dataset is used to train the SVM model and results show an accuracy of 90.66%. The experiments we performed conforms the feasibility of the proposed model
CPN Modelling And Performance Analysis Of CBHSA
Get PDFSecurity is a major issue associated with MAs and Hosts. MAs themselves may need to be protected from the hosts they visit and vice versa. For mobile multi agents, a new Cryptography Based Hierarchical Security Architecture (CBHSA) has already been proposed in our previous work. CBHSA provides four different kinds of algorithms to secure agents during migration which combines various existing security mechanisms such as encryption and decryption, signed agreement etc. This paper gives the description of Colored Petri Net (CPN) modelling of CBHSA and analyses the performance of CBHSA against some identified parameters. Different graphs have been developed for min, max and average values of different parameters. Simulation results show that CBHSA gives expected result and secure MAs and hosts from attacks
An approach of Privacy Preserving Data mining using Perturbation & Cryptography Technique
Get PDFDue to the wide deployment of information technology, privacy concern has been major issue in data mining. So for that new path is identified which is known as Privacy Preserving Data Mining (PDDM). Available PDDM techniques are Perturbation, Generalization, Anonymization, Randomization and Cryptography. All of them have some advantages as well as disadvantages also. If apply only cryptography PDDM using symmetric key encryption algorithm, then there will chances of losing data, because if anyone knows the key then data is available to anyone. If we apply perturbation PDDM only then it will not give you accurate result. So if we will use cryptography and perturbation then it will achieve security as well as very less chances of losing data after applying the privacy preserving
Load Balancing By Cloud Computing
Get PDFWith the internet getting so popular data sharing and security of personal data has gain much more importance than before. Cloud provides and efficient way to outsource the data either online or offline but data security becomes one of the major issues in unreliable multi-cloud environment. This paper addresses the issues in multi-cloud environment and also provides a way to provide better security in multi-cloud environment. Further it discusses the different encryption algorithms that can be used to maintain a design framework for cloud environment
A Review Of Multilevel Multibiometric Fusion System
Get PDFBiometric systems allow automatic person recognition and authenticate based on the physical or behavioral characteristic. In recent years, researchers have paid close attention to the design of efficient multi-modal biometric systems due to their ability to withstand spoof attacks. Sometimes single biometric traits fail to extract relevant information for verifying the identity of a person. Therefore, combining multiple modalities, enhanced performance reliability could be achieved. If the security level increases then multi-level fusion techniques are used. This paper discusses the many fusion levels: algorithms, level of fusion, methods used for integrating the multiple verifiers and their applications