No abstract

Nowadays mobile phones are used all over the world for the communication purposes. The capabilities of these devices are improved during the past few years. Due to their capabilities, mobile devices are used broadly in criminal activities especially in cybercrime. The volatile data stored in mobile phones usually contain important evidences regarding the crime. However, collecting these volatile data in a forensically sound manner would not be easy. This paper proposes a new approach for acquiring the volatile data inside a mobile phone in a forensically sound manner that minimizes the chance of evidence modification or lost.

Recently the usage of mobile devices has increased rapidly and it will be growing even more with enhancements in mobile device's functionality. Due to their enhanced functionality, mobile devices are used in corporate businesses and carry valuable information such as corporate transactions. So the security of mobile devices needs to be improved.This paper discusses various vulnerabilities of different components and functionalities of mobile devices such as SMS, wireless and applications. Moreover, mobile malware threats are explained and their effects are studied. Finally, a data-centric model to protect all the vulnerabilities and prevent application and malware threats is suggested. The model is able to ensure confidentiality, integrity and availability of data stored on mobile devices.