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IGNOU MCA SOFTWARE PROJECTS | IGNOU MCA PROJECTS

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IGNOU MCA SOFTWARE PROJECTS IGNOU PROJECTS JAVA BASED PROJECTS DOMAIN: TRANSACTIONS ON DATA MINING DOMAIN: TRANSACTIONS WEB APPLICATIONS (J2EE) DOMAIN: TRANSACTIONS ON NETWORKING DOMAIN: TRANSACTIONS ON NETWORKING SECURITY DOMAIN: TRANSACTIONS ON SOFTWARE ENGINEERING DOMAIN: TRANSACTIONS ON CLOUD COMPUTING DOMAIN: TRANSACTIONS ON WEB SERVICES DOMAIN: TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING DOMAIN: TRANSACTIONS ON GRID COMPUTING […]

Risk-Aware Mitigation for MANET Routing Attacks

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Mobile Ad hoc Networks (MANET) have been highly vulnerable to attacks due to the dynamic nature of its network infrastructure. Among these attacks, routing attacks have received considerable attention since it could cause the most devastating damage to MANET. Even though there exist several intrusion response techniques to mitigate such critical attacks, existing solutions typically […]

HASBE: A Hierarchical Attribute-Based Solution for Flexible and Scalable Access Control in Cloud Computing

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Cloud computing has emerged as one of the most influential paradigms in the IT industry in recent years. Since this new computing technology requires users to entrust their valuable data to cloud providers, there have been increasing security and privacy concerns on outsourced data. Several schemes employing attribute-based encryption (ABE) have been proposed for access […]

Ensuring Distributed Accountability for Data Sharing in the Cloud

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Cloud computing enables highly scalable services to be easily consumed over the Internet on an as-needed basis. A major feature of the cloud services is that users’ data are usually processed remotely in unknown machines that users do not own or operate. While enjoying the convenience brought by this new emerging technology, users’ fears of […]

A Cost Analysis Framework for NEMO Prefix Delegation-Based Schemes

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Network Mobility (NEMO) efficiently manages the mobility of multiple nodes that moves together as a mobile network. A major limitation of the basic protocol in NEMO is the inefficient route between end hosts. A number of prefix delegation-based schemes have been proposed in the literature to solve the route optimization problem in NEMO. Approaches used […]

Input Domain Reduction through Irrelevant Variable Removal and Its Effect on Local, Global, and Hybrid Search-Based Structural Test Data Generation

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Search-Based Test Data Generation reformulates testing goals as fitness functions so that test input generation can be automated by some chosen search-based optimization algorithm. The optimization algorithm searches the space of potential inputs, seeking those that are “fit for purpose,” guided by the fitness function. The search space of potential inputs can be very large, […]

Optimization of Resource Provisioning Cost in Cloud Computing

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In cloud computing, cloud providers can offer cloud consumers two provisioning plans for computing resources, namely reservation and on-demand plans. In general, cost of utilizing computing resources provisioned by reservation plan is cheaper than that provisioned by on-demand plan, since cloud consumer has to pay to provider in advance. With the reservation plan, the consumer […]

Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain

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Posting reviews online has become an increasingly popular way for people to express opinions and sentiments toward the products bought or services received. Analyzing the large volume of online reviews available would produce useful actionable knowledge that could be of economic values to vendors and other interested parties. In this paper, we conduct a case […]

Anónimos: An LP-Based Approach for Anonymizing Weighted Social Network Graphs

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The increasing popularity of social networks has initiated a fertile research area in information extraction and data mining. Anonymization of these social graphs is important to facilitate publishing these data sets for analysis by external entities. Prior work has concentrated mostly on node identity anonymization and structural anonymization. But with the growing interest in analyzing […]

Agglomerative Mean-Shift Clustering

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Mean-Shift (MS) is a powerful nonparametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets. In this paper, for the purpose of algorithmic speedup, we develop an agglomerative MS clustering method along with its performance analysis. Our method, namely Agglo-MS, is built upon an iterative […]