Title :
Smartphone cloud storage anti virus detection and prevention using robust algorithm
Author :
Salah, Samia ; Sug, H.
Author_Institution :
Ubiquitous IT Dept., Dongseo Univ., Busan, South Korea
Abstract :
Despite its prominent services and facilities that has provided to its users, Smartphone technology is still presenting various deficiencies that should be handled in order to satisfy its users´ requirements. In particular, the lack of the storage space on the Smartphone device accounts for a critical issue. To this end, many factors could be behind the storage space´s confining, in particular, viruses that reside on the device and have not been removed yet. In this case, a rudimentary solution consists of installing an antivirus. However, the former could be a heavy size program. Therefore, in this paper we have introduced a new system as well as an algorithm that consist of an automatic scanning of the Smartphone database in order to optimize the storage space. The proposed process is based on two concepts: Cloud computing and operating systems´ concept. In addition, we have thoroughly depicted the relationship and the interactions between the two former concepts and how they can cooperate together in order to enjoying an efficient role in optimizing the Smartphone storage space.
Keywords :
cloud computing; computer viruses; operating systems (computers); smart phones; storage management; anti-virus detection; anti-virus prevention; cloud computing; operating system concept; robust algorithm; rudimentary solution; smartphone cloud storage; smartphone database; smartphone storage space; smartphone technology; Analytical models; Indexes; Memory management; Performance evaluation; Protocols; Cloud Computing; Cloud Storage; Operating Systems; Smartphone;
Conference_Titel :
Computing and Networking Technology (ICCNT), 2012 8th International Conference on
Conference_Location :
Gueongju
Print_ISBN :
978-1-4673-1326-1