![]() scenarios have been taken into consideration. Since the Venice and its territory are prone to various hazards, multi-hazard. In order to achieve the objective, the authors have selected relevant research papers and state of the art documents. The objective of the paper is to review already published scientific papers and other relevant documents to identify hazards, their intensities and probability of occurrence in the Venice territory. ![]() The aim of the proposal system is to make fine grained application controllability, so that users can protect their personal valuable information from malware. So he/she can determine whether to grant an application's action. When an application executes an action which requires the permission, the proposed system shows a user such adequate information that he/she can judge whether the application is malicious or not. This paper proposes a dynamic approval system. Moreover, applications can go beyond the approved permission by using Intent. which should be restricted are often not restricted by appropriate permissions. However confirming permissions is not full preparation for preventing infection, because of defective Android Permission System. Such malware can be prevented by confirming all risky permissions. Geographic locations can be entered either through the MyDisasterDroid application or via SMS and to determine the most optimum route, genetic algorithm was applied.Īndroid malware is increasing and flooded with malware which disguise as popular applications and execute malicious attacks within the scope of permissions which was approved by users. The disaster management system Android application known as MyDisasterDroid determines the optimum route along different geographical locations that the volunteers and rescuers need to take in order to serve the most number of people and provide maximum coverage of the area in the shortest possible time. Since the use of mobile phones in the Philippines is widespread, the disaster management system was implemented as a mobile application and the application environment used was Google's Android. For this reason, there is a need for a system that will help in the efficient provision of rescue and relief to the disaster-affected areas. The Philippines is one of the most disaster prone countries in the world and it lacks an efficient disaster management system that will help in times of need especially during the rescue and relief phase. Genetic algorithm was applied for optimization and different parameters were varied to determine the most optimum route. Since the use of smart phones is gaining interest in people, the disaster management system was implemented as a smart phone application using Google's Android operating system. For this reason, there is a need for a system that will help in the efficient provision of rescue and relief to disaster-affected areas. One common scenario during disasters is that the activity of rescue and relief is not well-coordinated. ![]() It also lacks an efficient disaster management system that will help in times of need. ![]() The Philippines is one of the countries in the world vulnerable to natural hazards because of its geographic location. ![]()
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