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Study of Mobile Botnets: An Analysis from the Perspective of Efficient Generalized Forensics Framework for Mobile Devices

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IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012)
© 2012 by IJCA Journal
ncipet - Number 15
Year of Publication: 2012
Authors:
Rizwan Ahmed
Rajiv V. Dharaskar

Rizwan Ahmed and Rajiv V Dharaskar. Article: Study of Mobile Botnets: An Analysis from the Perspective of Efficient Generalized Forensics Framework for Mobile Devices. IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012) ncipet(15):5-8, March 2012. Full text available. BibTeX

@article{key:article,
	author = {Rizwan Ahmed and Rajiv V. Dharaskar},
	title = {Article: Study of Mobile Botnets: An Analysis from the Perspective of Efficient Generalized Forensics Framework for Mobile Devices},
	journal = {IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012)},
	year = {2012},
	volume = {ncipet},
	number = {15},
	pages = {5-8},
	month = {March},
	note = {Full text available}
}

Abstract

Botnets represent a serious security threat on the Internet. Current security mechanism are typically inadequate for protecting against the latest breed of botnets, as botherders constantly develop new techniques and methods to frustrate investigators. Until recently, mobile networks have been relatively isolated from the Internet, so there has been little need for protecting against botnets. However, this situation is rapidly changing. With the rapid development of the computing and Internet access (i.e., using WiFi, GPRS and 3G) capabilities of smartphones, constructing practical mobile botnets has become an underlying trend. Thus, threats on the Internet most likely will migrate over to the mobile networks and vice versa. Botnets of malware injected into mobile devices will probably appear very soon, and there are already signs of this happening. This paper analyses the potential threat of botnets based on mobile networks. The study done will be further utilized for improving the performance of the developed “Efficient Generalized Forensics Framework for Mobile Devices”. To conclude our paper, we suggest possible defenses against the emerging threat

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