Web shops today needs to be more and more responsive, where one part of this responsivenessis fast product searches. One way of getting faster searches are by searching against anindex instead of directly against a database. Network Expertise Sweden AB (Net Exp) wants to explore different methods of implementingan index in their future web shop, building upon the open-source web shop platformSmartStore.NET. Since SmartStore.NET does all of its searches directly against itsdatabase, it will not scale well and will wear more on the database. The aim was thereforeto find different solutions to offload the database by using an index instead. A prototype that retrieved products from a database and made them searchable through anindex was developed, evaluated and implemented. The prototype indexed the data with aninverted index algorithm, and was made searchable with a search algorithm that mixed typeboolean queries with normal queries. / Webbutiker idag behöver vara mer och mer responsiva, en del av denna responsivitet ärsnabb produkt sökningar. Ett sätt att skaffa snabbare sökningar är genom att söka mot ettindex istället för att söka direkt mot en databas. Network Expertise Sweden AB vill utforska olika metoder för att implementera ett index ideras framtida webbutik, byggt ovanpå SmartStore.NET som är öppen käll-kod. Då Smart-Store.NET gör alla av sina sökningar direkt mot sin databas, kommer den inte att skala braoch kommer slita mer på databasen. Målsättningen var därför att hitta olika lösningar somavlastar databasen genom att använda ett index istället. En prototyp som hämtade produkter från en databas och gjorde dom sökbara genom ettindex var utvecklad, utvärderad och implementerad. Prototypen indexerade datan med eninverterad indexerings algoritm, och gjordes sökbara med en sök algoritm som blandar booleskafrågor med normala frågor. / <p></p><p></p><p></p>

Today's smartphones and tablets use different applications and software for all sorts of purposes: communication, entertainment, fitness, to share images with each other, to keep up to date with the news and lots of different daily tasks. With the heavy usage of all these apps, it is no wonder that it comes with a few issues. Private data is stored in large quantities both on the local device and on the app-creators' servers. It is no wonder that applications advertising user secrecy and transient storage of user data. One of these applications is Snapchat, with over 500 million downloads on Google Play store, at the time of writing. Snapchat is a communication application with the niched feature that the images and messages sent, disappear once opened or after 24 hours have passed. With the illusion of privacy behind Snapchats niche it has become a breeding ground for criminal activity. The niche itself translates to a troublesome hurdle for law enforcement trying to retrieve evidence from devices of Snapchat users. This paper is aimed to investigate these issues and perform a methodology to retrieve potential evidence on a device using Snapchat to send images and messages. By performing a physical acquisition on a test device and analyzing to find artifacts pertaining to Snapchat and the test-data that was created. The method is performed on a Samsung Galaxy S4 with Android 5.0.1 running Snapchat version 10.52.3.0. Test data such as different images and messages were created and attempted to be retrieved at three points in time. First one being right after data creation. Second one after a restart and 24 hours after the data was created. And the third with 48 hours passed and the Snapchat user logged out at the time of acquisition. The acquisition resulted in the extraction of several sent images and a full text conversation between the experimental device and another party. A full video which was uploaded by the receiving user was able to be extracted even though the experimental device never actually viewed the video. The second acquisition which was made when 24h had passed gave the same results as the first one. This meant that time at least up to a day after the initial creation of the data did not have any effect on the evidence. However, when the Snapchat user was logged out from the application, the data was then unobtainable and had disappeared. Presumably Snapchat has a function which deletes personal data about the user when logged out from the application. This function might become a hurdle in law enforcement investigations where the application Snapchat is involved.