Anurika Vaish

Advanced mobile agent security models for code integrity and malicious availability check

Mobile agent technology is an emerging paradigm in distributed computing environment and it holds a potential status in the relevant research field due to its unique capabilities like flexibility, dynamic customization and robust interaction in unreliable networks. But the limited security perspectives and shortfalls of the mobile agent environments degrade its usage in a variety of application domains. Even though some of the protection models are available for protecting the environments, they are not efficient in handling the security issues. To make the mobile agent environment secure, this paper proposed advanced models to improve the efficiency of the existing Malicious Identification Police model for scanning the incoming agent to detect the malicious activities and to overcome the availability of vulnerabilities in the existing Root Canal algorithm for code integrity checks. The MIP model is extended with the policy to differentiate the agent owners in the distributed environment and the Root Canal algorithm is improved as eXtended Root Canal algorithm. The experimental results of the advanced models show that though these mechanisms take more time complexity than the existing malicious identification police model and Root Canal model, these models are efficient in protecting the agent code integrity and scanning the agent for malicious activities. Also the new models possess less time complexity compared to the other related existing models in the secure mobile agent environment.

Artificial immune system based mobile agent platform protection

An emerging technology for systems to communicate efficiently in the distributed environment is the mobile agent. The features of the mobile agent are too big when compared with the static agent and conventional communication system. However, the security issues of the mobile agent and mobile agent platform lags its usage. Even though the protection models are available for the mobile agent environment, the vulnerabilities still exist or the models need more computational time. To mitigate these issues related with the agent platform, this paper proposed an artificial immune system (AIS) based model. The proposed model will give the separation of duties and clones to handle multiple foreign agents simultaneously to achieve the computational efficiency. The experimental results and the constructed results from the experimental results have proved that this proposed model will consume less computational time when compared with the existing models. It will detect the malicious agent by extracting and matching the patterns with the available malicious patterns and also it can identify the new malicious patterns through monitoring the agent process.

Sustaining environment and organisation through e-waste management: a study of post consumption behaviour for mobile industry in India

Increasing population, affluence and urbanisation are precursors to e-waste generation. It is therefore, imperative that progress be made towards a better understanding of the relationships between society, economy and the environment for a sustained environment. Sustained environment can be achieved only if the industries as well as consumers tend to be cautious in their approach. Reverse logistics implemented by the organisations for end-of-life product returns would create a formal pathway for electronic disposals and waste management thus preventing environmental pollution, cutting costs, increasing efficiency, productivity and performance of the company. To develop effective reverse logistics, it is important to identify the antecedents of consumer behaviour that would check their intention towards return end-of-life e-waste for proper disposal. The objective of the paper is to assess the impact of demographic variables namely age, gender, income and place of residence on post consumption disposal choices of urban Indian consumers for their mobile wastes.

Performance analysis of enhanced mobility model in Cloud Computing

Cloud Computing is bound to become an integral part of the enterprises which seek to minimize their services cost by availing the services of application, platform, information, storage and mobility that the cloud provides. Mobility Services in Cloud enable nodes to move seamlessly between access networks while maintaining network connectivity and utilize uninterrupted services while on the move. A widespread usage of these services indicates the requirement of more IP addresses, but the IPv4 addresses are exhausting and a transition to IPv6 address is required. The concern is to find a secure, efficient, reliable, and cost effective method to enable mobility for Cloud Services in an environment with support to both IPv4 and IPv6 addresses. In this paper we propose a model to enhance the mobility services in Cloud by utilizing the concept of HMIPv6 in coexistent network and produce a performance analysis of the existing models with the proposed model. The proposed model reduces the burden on existing IPv4 addresses and enhances Mobility as a service in Cloud Computing.

Content Fusion in Traditional and New Media: A Conceptual Study

The Elaboration Likelihood Model is the motivation for this study, which puts forward various peripheral routes that are used by an advertiser for not only making the advertisement attractive but also creating an impulse among the audience. The article details various possible dimensions of content that are applicable in an advertisement. Through rigorous literature review, the article identifies various theories and models that have led to the successful adaptation and implementation of each variant of content. The discussion at the end of the article presents a 4R model of content generation that will enable advertisers to make corrective decisions for advertisement in traditional and new media channels.

Media mix: a pragmatic solution for advertising complexities

This paper explores the effectiveness of advertising along the concept of media mix. This research work seeks to highlight the need for adoption of media mix in the present era of digital evolution. On the review of 150 research papers it was observed that traditional advertising would not be suffice in the competitive scenario rather the advertiser has to opt for the blended path of traditional and new media advertising, thereby maintaining acceptability, adaptability and effectiveness. The added feature of interactivity in new media makes them a preferred choice these days. The present paper tends to put forward the reasons for the adoption of media mix by the advertisers. At the end of the study, an important discussion follows, where a matrix and model of media mix has been presented.

Exploring the impact of need to evaluate on advertisements: a study of small city Indian consumers

In the past much of the work in advertisement has been done pertaining to the impact of need for cognition and need to affiliation but scanty work is available for need to evaluate. The present study tries to ascertain the impact of need to evaluate (NTE) on advertisement. Before resorting to any decision about the purchase of any product the consumers are induced by advertisements - and any advertisement which maps with the evaluation parameters of the consumer obviously has higher chances of acceptability. Therefore, it becomes important to understand the relationship of need to evaluate with advertisement. This study specifically focuses on exploring the difference for need to evaluation towards advertisements across age groups and genders for a small city in India (n = 436). The study also underpins two important advertising models - generic model of advertising and the expanded ARF model for interactivity for understanding the imperativeness of need to evaluate on advertising.

A CASE Tool Evaluation and Selection Methodology

CASE Tools have been considered as the most advanced technique to derive quality products. The cost associated with CASE tools is generally high due to their steep learning curves and is a matter of concern for software engineering houses. This makes it imperative that the right set of CASE tools are evaluated and selected for a particular set of tasks. This research paper proposes a methodology for the purpose of comparison and selection of various CASE tools available in the market. The proposed methodology allows its users to easily identify and select the best CASE tool suited to their purpose. The paper proposes a matrix based model, mapped across parameters and their attributes that produces an optimised score card that supports the decision making process.

Gap analysis: an approach towards meaningful service delivery for improved customer satisfaction by banks in North India

In an ever increasing competitive scenario, delivery of high quality service by service providers plays an important role in creating a differentiating factor. Understanding the need and expectations of the different customer segments is important for meaningful service delivery. The gap between the customer expectation and perceived levels of service leads to the negative consequences for the organisation in the form of customer switching behavior and increased defection rates. The objective of this study is to identify the existing gaps between customer expectation and customer satisfaction levels of different customer categories with respect to the services being offered by the banks. A survey instrument is used as a tool for collecting the primary data while mean and the standard deviation are used as the statistical tools along with representative sampling technique to derive the results.