Client based Proactive Handoff in Heterogeneous Network

In the present scenario various wired and wireless networks are contributing in information access for different users. But as we are moving towards next generation, the communication is targeting for integration of these wired and wireless networks. Once a client obtains a global address from Internet gateway it is able to communicate with nodes in Internet or it is able to access information across Internet. Overall the client needs frequent mobility while communication. However due to improper handoff there is a serious problem of call drop when client moves from one location to another. Earlier only one network used to provide services to the client. This article specifies how integration of heterogeneous network can give better quality of service to the client. Therefore in this paper we propose a proactive handoff mechanism for clients under heterogeneous network

Parts of Speech Tagging in Bengali for MWEs Detection

Enhancing Security of Vigenere Cipher by Stream Cipher

Cryptography is a science of converting clear message into secret message "nonreadable message", where message was encrypted at sender side then decrypted at receiver side. Vigenere is an example of substitution cipher, it has various limitations, in this paper we propose an advanced encryption algorithm which improves the security of Vigenere method by combining it with modern cipher method like Stream cipher, Stream cipher relatively regards as unbreakable method, and it uses binary form (instead of characters) where the Plaintext, Ciphertext and the Key are strings of bits. When applying the proposed algorithm, we see that the mentioned above combination cipher has a high degree of security, where cipher based on just Vigenere method is not secure. Also, the proposed algorithm makes the cryptanalysis, using frequency attack, more difficult. General Terms Information security, cryptography

Applicability of Homomorphic Encryption and CryptDB in Social and Business Applications: Securing Data Stored on the Third Party Servers while Processing through Applications

Confidentiality in third party services like cloud computing has become a major concern. IT industry and government organizations are very serious about security factor in cloud computing, because its usage has reached all the way from a common man having a mobile phone to large scale business enterprises. In this paper, we present security threats in social and business applications accessing the data stored in cloud computing scenario. Also, we critically discuss homomorphic encryption and CryptDB schemes which are applicable to protect data from malicious third party service environments (cloud computing) and also from insiders for these applications. We also present empirical results of partial homomorpic encryption algorithms over one lakh 10-digit numbers, using Linux virtual machine on VirtualBox, VMPlayer and KVM. The result for four algorithms (namely Paillier, ElGamal, RSA and Benaloh) as performed on the above four different platforms are computed to show their respective overhead values as compared to plain data operations. In case of Paillier Algorithm the overhead is 17, 15, 22 and 12 times for addition operation and 278, 399,518 and 346 times for multiplication operation respectively. Similarly, in case of Elgamal algorithm 1.72, 1.6, 11.7 and 8.9 times for multiplication operation; in case of RSA algorithm 1.79, 1.5, 3.48 and 1.5 times for multiplication operation and in case of Benaloh algorithm is 5.6, 5.36, 5.48 and 3.5 times for addition operation respectively. These performances clearly indicate that these algorithms are quite feasible enough to be used in context of social and business applications by third party service providers

Programmable Networks and Their Social Impact in Developing Countries

Software defined network has been the buzzword among networking professionals since the last few years. SDN promises to simplify network management using its three tiered architecture. Unfortunately, a significant amount of research that is going on in this field is focused on huge enterprise or datacenter networks. The social impact that this technology can bring about especially in developing countries has not been thought of. This paper discusses the societal benefits of using the concept of programmable networks in sectors such as education, healthcare and small scale enterprises. Although various issues faced by the information technology departments in the above mentioned sectors are considered, the focus is mainly on the education sector, especially in the rural areas and the concerns of the technology personnel involved in network management there. General Terms SDN, programmable networks, computer networks

Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey

Sentiment Classification and Feature based Summarization of Movie Reviews in Mobile Environment

framework is designed for sentiment classification and feature based summarization system in a mobile environment. Posting online reviews has become an increasingly popular way for people to share their opinions about specific product or service with other users. It has become a common practice for web technologies to provide the venues and facilities for people to publish their reviews. Sentiment classification and feature based summarization are essential steps for the classification and summarization of movie reviews. System proposed Random forest method for sentiment classification of movie reviews. Identification of movie features and opinion words are both important for feature based summarization. System identified movie features using a novel approach called Latent Semantic Analysis (LSA) and frequency based approach. Then system identified opinion words using part-of-speech (POS) tagging method. The result of LSA is extended to LSA based filtering mechanism to reduce the size of review summary. System design focused on the sentiment classification accuracy and system response time.

Optimization of Fertlizer Rates for Wheat Crop using Fuzzy Expert System

In this work it is proposed to provide proper nutrition to soil, which is very essential for satisfactory crop growth and production. The use of soil tests can help us to determine the status of available nutrients in soil, this paper aims at calculating required amount of NPK fertilizers for soil accordingly NPK levels actually found during soil test. Applying fuzzy based rules in a fuzzy expert system we here are developing fertilizer recommendations needed to achieve optimum crop production. Efficient application of the correct amounts of fertilizers for the supply of the nutrients is an important part of achieving profitable yields. The profit potential for farmers depends on producing enough crops per acre to keep production costs below the selling price. Moreover optimizing fertilizer will help us preventing environmental effects like water pollution and health effects.

Short-Term Electrical Load Forecasting for Iraqi Power System based on Multiple Linear Regression Method

this paper an investigation for the short term (up to 24 hours) load forecasting of the demand for the Iraqi Power System would be presented, using a Multiple Linear Regression (MLR) method. After a brief analytical discussion of the technique, the usage of mathematical models and the steps to compose the MLR model will be explained. As a case study, historical data consisting of hourly load demand, humidity, wind speed and temperatures of Iraqi electrical system will be used, to forecast the short term load. Two models will be presented; one for winter and the second for summer season. Algorithms implementing this forecasting technique have been programmed using MATLAB and applied to the case study. This study uses the linear static parameter estimation technique as they apply to the twenty four hour off-line forecasting problem. KeywordsTerm Load forecasting (STLF), Multiple Linear Regression (MLR), Weather parameters.

Load Balance Monitoring in Oracle RAC

Oracle RAC offers and provides very attractive and promising features for today’s challenging market scenario, where safety and availability of database is the basic need and demand of clients who are working on mission critical databases. The two most alluring features which RAC provides are high availability and load balancing. Load balancing is performed by the load balancer which most of the time works as desired; but it is noticed that failure of load balancer could be a single point of failure for the entire RAC system. In the present research work our aim is to monitor the load balancing feature of Oracle RAC in order to keep a close watch on whether switchover between nodes is happening correctly and smoothly or not. The concept of relative entropy is taken as inspiration, which helps us compare the randomness of the nodes and also the entire RAC system. A script is designed to monitor the number of sessions in each node which should run at the expected peak hours. These peak hours are discovered by extensive monitoring of sessions in each node for 30 days continuously. A threshold limit for number of sessions in each respective node is to be defined in prior, which should be near about but less than maximum session limit defined for the load balancer. As soon as the number of sessions in a particular node reaches its threshold limit, an email is sent to the DBA team which in turn alerts the team to keep a close watch on the switchover.In the proposed scheme the motto is to provide the client with a better service with the help of proper monitoring. To insure an even workload distribution, a clustered database must employ methods to distribute incoming sessions evenly and effectively across the various components of its cluster. As soon as the DBA gets email showing the threshold limit is reached, the DBA must become alert. If he notices that switchover or in other words load balancing is not happening properly, he can do a manual switchover to prevent the client from suffering with rejection of server. In present work Relative Entropy calculation technique is used as an inspiration to calculate the randomness of the RAC system based on its load balancing feature. Proposed scheme can minimize the cost as we can tune up the memory or SGA/PGA based on our result reducing the time to fetch as well. The Relative Entropy calculation scheme of detecting the randomness of Oracle RAC system is a truly new approach based on which we can monitor as well as forecast the behavior of its load balancing act. Proposed method also could help to detect any upcoming issue related to load balancing which could interrupt the client services. The proposed mechanism has overcome some of the limitations like it can be automated without any prior installation. General Terms Oracle RAC database, Load balance monitoring of Oracle RAC database, Oracle Real Application clusters.