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20162026
most citedSecurity Considerations for Internet of Things: A Survey

118 citations · 559 across the 61 of their papers we have counts for

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Showing 2016Show all

16 papers · 1 filter

cs.CR2016★ 4 cited

Forensics Acquisition and Analysis of instant messaging and VoIP applications

Christos Sgaras, M-Tahar Kechadi, Nhien-An Le-Khac

The advent of the Internet has significantly transformed the daily activities of millions of people, with one of them being the way people communicate where Instant Messaging (IM)…

cs.CR2016★ 3 cited

The State of the Art Forensic Techniques in Mobile Cloud Environment: A Survey, Challenges and Current Trends

Muhammad Faheem, M-Tahar Kechadi, Nhien-An Le-Khac

Smartphones have become popular in recent days due to the accessibility of a wide range of applications. These sophisticated applications demand more computing resources in a resou…

cs.CR2016

Toward a new mobile cloud forensic framework

Muhammad Faheem, M-Tahar Kechadi, Nhien-An Le-Khac

Smartphones have created a significant impact on the day to day activities of every individual. Now a days a wide range of Smartphone applications are available and it necessitates…

cs.CR2016★ 2 cited

Forensics in Industrial Control System: A Case Study

Pieter Van Vliet, M-T. Kechadi, Nhien-An Le-Khac

Industrial Control Systems (ICS) are used worldwide in critical infrastructures. An ICS system can be a single embedded system working stand-alone for controlling a simple process…

cs.CR2016★ 3 cited

The End of effective Law Enforcement in the Cloud? To encypt, or not to encrypt

Steven Ryder, Nhien-An Le-Khac

With an exponentially increasing usage of cloud services, the need for forensic investigations of virtual space is equally in constantly increasing demand, which includes as a very…

cs.AI2016★ 3 cited

An Integrated Classification Model for Financial Data Mining

Fan Cai, Nhien-An Le-Khac, M-T. Kechadi

Nowadays, financial data analysis is becoming increasingly important in the business market. As companies collect more and more data from daily operations, they expect to extract u…