This paper illustrates the functionality of Wireshark as a sniffing tool in networks. This has been proven by an experimental setup which depicts the efficiency of detection of a malicious packet in any network. Testing has been achieved through experimentation on a real time network analyzed by Wireshark. Inferences have been made which clearly depict Wireshark's capabilities highlighting it as a strong candidate for future development into a robust intrusion detection system. This paper highlights the working of Wireshark as a network protocol analyzer and also accentuates its flexibility as an open source utility to allow developers to add possible functionalities of intrusion detection devices in it.

Purpose Trade credit (TC) is a financing provision by non-financing firms. The multi-disciplinary research field has sustained scholarly attention for long. Pursuant to the gap for a comprehensive summary of the literature confined to the areas of Finance and Economics, this study aims to provide quantitative and qualitative insights not fully captured or analysed in previous reviews. Design/methodology/approach Contextualized systematic literature review (SLR) and bibliometric techniques are used to map the thematic, intellectual and conceptual structures latent in 138 articles published in top journals. Findings The top authors, top journals and major themes are recognized using bibliometric techniques followed by an in-depth bibliographic-network-based-content-analysis. Five major clusters indicating the five research dimensions within the specialized field are identified and extensively reviewed. Empirical validation of key theories is discussed in the contents and a conceptual model is developed. Finally, the study has identified key research gaps to set the direction for future research. Research limitations/implications The scope of the literature selection is confined to the areas of finance and economics. Future studies could elaborate on a broader perspective. Originality/value The study contributes by offering a conceptual model latent in the literature on TC. It derives major research gaps to set the direction of future research. Also, the combination of SLR and bibliometrics is a methodological contribution in this research domain.

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Purpose -This article aims to examine the state of risk management in agriculture and power sector of India, evaluate the effectiveness of weather derivatives as alternative risk management tools and basic framework required to implement them. Design/methodology/approach -Applications of traditional risk-hedging tools and techniques in Indian agricultural and power sectors have proved to be costly, inadequate, and more importantly, a drag on the country's fiscal system. Mostly they offer a hedge against only the price risk. The volume related risk, which is rather more serious and highly weather-dependent, remains practically unhedged. This study has used existing literature and empirical evidences for analyzing the various issues related to risk management in agriculture and power sector. Traditional derivative strategies have been used to construct weather derivatives contracts with different underlying weather indices. Findings -The article suggests that how an appropriate weather-based derivative contract system may be a more flexible, economical and sustainable way of managing the volume-related weather risk in an economy, like India, having predominant agricultural and power sectors. Originality/value -The article will be of value to all those who have some stakes in agricultural and power sectors of an economy and would like to mange the volume related risk in these sectors.

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