ICT Infrastructure Framework for Microfinance Institutions and Banks in Pakistan

Ali, Sadiq Shahbaz; Khan, M. N. A.

doi:10.4018/ijom.2013040105

Cited by 11 publications

(4 citation statements)

References 19 publications

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“…In [39], Bashir and Khan discuss triaging methodologies being used for live digital forensic analysis. References [31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47] reviewed different techniques in different domains and reported their critical evaluations.…”

Section: Literature Reviewmentioning

confidence: 99%

Review of Live Forensic Analysis Techniques

Rahman¹,

Khan²

2015

IJHIT

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The widespread availability and extensive use of Internet across the world has caught attention of the criminals and digital crimes are occurring at an epidemic scale nowadays. The field of digital forensics is constantly evolving by employing new tools and technique to counter novel approaches employed by the criminals as well as to investigate the nature of the criminal activity and bring the culprits to justice. Traditionally, the static analysis was used to investigate the digital incidents. But due to advancement in technology and the fact that hackers are developing malware that do not leave footprint on the hard disk, the need for performing live digital forensic analysis in addition to the static analysis has become imperative. Live forensic analysis techniques have evolved during the last decade to analyses the memory content to get a better picture of the running application programmers, processes and active binaries. In this study, we look into different techniques of live analysis and critically review them by identifying their benefits and limitations. The key areas focused in this study pertain to virtualization, pagefile extraction and identifying the encryption keys.

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Section: Literature Reviewmentioning

confidence: 99%

Review of Live Forensic Analysis Techniques

Rahman¹,

Khan²

2015

IJHIT

Self Cite

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“…In [27], Bashir and Khan discuss triaging methodologies being used for live digital forensic analysis. References [28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44] reviewed different techniques in different domains and reported their critical evaluations along with a workable framework where necessary.…”

Section: Literature Reviewmentioning

confidence: 99%

Data Protection Techniques for Building Trust in Cloud Computing

Saeed¹,

Khan²

2015

IJMECS

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Abstract-Cloud computing has played much important role in comparison to other fields of IT, in providing Data storage, Data security, Quality of Services (QoS) etc. In the last few years, it had emerged and evolved so quickly due to its number of facilities and advantages to the organizations and end users. Many data security factors have also increased due to this fast evolution of cloud in the IT industry. Therefore several security models and trust establishing techniques have been deployed and are been in execution for providing more security to the data, especially the sensitive data. Despite of that much security, many of the models/techniques lacks in one or more security threat measures. In this paper a new model have been designed and proposed which introduces Security Aware Cloud. First the trust of the user or organization is established successfully on cloud than the security to the data is granted through privacy and encryption module. Level of quality of service and security are achieved under the Contract Trust layer while the Authentication and Key Management are covered under Internal Trust layer. For critical data privacy and encryption, Homomorphism mechanism is used. By the use of proposed trust and security model, we can enhance Return on Investment factor in the cloud for the data security and service provided by it.

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“…Shahzad et al, [19] use database support for protection against zero-day malware attacks. Khan et al, [20] implemented storage pattern in the OR mapping framework, and Ali and Khan [21] proposed an ICT infrastructure framework for microfinance institutions. Shehzad and Khan [22] looked into the methods for integrating knowledge management with business intelligence processes.…”

Section: Literature Reviewmentioning

confidence: 99%