USING SEQUENTIAL ANALYSIS AND SEARCH SPACE MAPPING MACHINE LEARNING TECHNIQUES FOR TROUBLESHOOTING A SOFTWARE DEFINED NETWORK OR A NETWORK FUNCTION VIRTUALIZATION BASED NETWORK

Proposed herein is a technique to utilize a sequential analysis to map the probability of a sequence of commands executed via Command Line Interface (CLI) in order to determine a root cause of a problem in a network. This technique may provide different paths that can be analyzed in order to debug an issue. The sequential analysis may be performed in tandem with an interpreter model that may read text generated by each command, verify whether there is any problem in a sub-segment, and, upon determining a problem, may enable automatic remediation to the problem

PROTECTING AGAINST MALICIOUS LOGINS ON VIRTUAL MACHINES USING BLOCKCHAIN

Presented herein are techniques that involve utilizing a blockchain-based methodology that provides a defense against rollback attacks on a virtual machine and is scalable for other application areas. In one example, a solution is provided to avoid rollback attacks during restoration of a virtual machine under the assumption of a malicious host and hypervisor. Techniques presented herein also address problems associated with an untrusted host under certain assumptions

The Effects of Hosting Events on Destination Branding: Dubai Expo 2020

Background - This paper evaluates the effects of events on the destination brand of Dubai as it prepares to host the Expo 2020. Destination branding assists in understanding the city’s strong “assets” and their impact on the upcoming Expo.Purpose – The purpose of the study is to understand how large events impact development of a city’s brand. Based on the results, conclusions can be made on whether the efforts for the Expo will have a lasting impact on Dubai’s destination brand.Methodology – The methodology acquires information about the effects of hosting events on Dubai’s destination brand through the analysis of the Expo 2020. Primary research, primarily in-depth interviews, bring perspective from industry professionals about destination branding, event management, and their economic implications. The Tourism Area Life Cycle (TALC) and other comparative models are utilized to understand correlations and applications to the Expo 2020.Findings – The paper considers the preliminary efforts of Dubai indicating the increased opportunities in the city and excitement in the global community. The results highlight that the successful initiation of Expo 2020 would display Dubai’s capability of hosting events, differentiating it from other cities, and presenting a positive outlook for the economy. Areas that will experience growth include Dubai as a major event venue, a major tourist destination, and an economic hub in the region.Research limitations – This study has been conducted before the official commencement of the Expo 2020 and therefore it gives a “before the event” perspective only. It could be improved by assessing the visitor interest and attitudes after the event and making cause and effect models to develop comprehensive conclusions about the impact.Originality/value – There are limited studies on this topic as World Expos are major events occurring in select cities with economic and infrastructural capabilities. The current research on the impact of events mainly focuses on sports or festivals. Expo 2020 has great importance to Dubai due to its economic and destination brand implications, confirming the uniqueness of the research. Based on the results, future studies can assess large-scale events around the world, present accurate information on the impacts of expos, and enrich destination branding studies.Keywords: Dubai, Destination Branding, Events, Expo 2020, World Exp

The Effects of Hosting Events on Destination Branding: Dubai Expo 2020

Background - This paper evaluates the effects of events on the destination brand of Dubai as it prepares to host the Expo 2020. Destination branding assists in understanding the city’s strong “assets” and their impact on the upcoming Expo.Purpose – The purpose of the study is to understand how large events impact development of a city’s brand. Based on the results, conclusions can be made on whether the efforts for the Expo will have a lasting impact on Dubai’s destination brand.Methodology – The methodology acquires information about the effects of hosting events on Dubai’s destination brand through the analysis of the Expo 2020. Primary research, primarily in-depth interviews, bring perspective from industry professionals about destination branding, event management, and their economic implications. The Tourism Area Life Cycle (TALC) and other comparative models are utilized to understand correlations and applications to the Expo 2020.Findings – The paper considers the preliminary efforts of Dubai indicating the increased opportunities in the city and excitement in the global community. The results highlight that the successful initiation of Expo 2020 would display Dubai’s capability of hosting events, differentiating it from other cities, and presenting a positive outlook for the economy. Areas that will experience growth include Dubai as a major event venue, a major tourist destination, and an economic hub in the region.Research limitations – This study has been conducted before the official commencement of the Expo 2020 and therefore it gives a “before the event” perspective only. It could be improved by assessing the visitor interest and attitudes after the event and making cause and effect models to develop comprehensive conclusions about the impact.Originality/value – There are limited studies on this topic as World Expos are major events occurring in select cities with economic and infrastructural capabilities. The current research on the impact of events mainly focuses on sports or festivals. Expo 2020 has great importance to Dubai due to its economic and destination brand implications, confirming the uniqueness of the research. Based on the results, future studies can assess large-scale events around the world, present accurate information on the impacts of expos, and enrich destination branding studies.Keywords: Dubai, Destination Branding, Events, Expo 2020, World Exp

A fully integrated violence detection system using CNN and LSTM

Recently, the number of violence-related cases in places such as remote roads, pathways, shopping malls, elevators, sports stadiums, and liquor shops, has increased drastically which are unfortunately discovered only after it’s too late. The aim is to create a complete system that can perform real-time video analysis which will help recognize the presence of any violent activities and notify the same to the concerned authority, such as the police department of the corresponding area. Using the deep learning networks CNN and LSTM along with a well-defined system architecture, we have achieved an efficient solution that can be used for real-time analysis of video footage so that the concerned authority can monitor the situation through a mobile application that can notify about an occurrence of a violent event immediately