From the BlogSubscribe Now

Digital Forensics: Validation of Network Artifacts

Access to new resource related to project information security management added to PM World Library

26 July 2018 – Rome, Italy – Access to a new resource has been added to the PM World Library on the subject of the Project Data, Information and Systems Security. 

The resource titled “Digital Forensics: Validation of Network Artifacts Based on Stochastic and Probabilistic Modeling of Internal Consistency of Artifacts” is the master’s thesis by Livinus Nweke in support of an MS degree in Computer Science at Sapienza University in Rome.  Livinus was a recent research intern for the PM World Library.

In this thesis, a framework for the validation of network artifacts in digital forensics investigations is presented. The main hypothesis of this thesis is that the validity of network artifacts can be determined based on stochastic and probabilistic modeling of internal consistency of artifacts. This framework consists of three phases, namely: data collection, feature selection, and validation process. The functionality of the proposed framework is demonstrated using network artifacts obtained from Intrusion Detection Systems. It is assumed that the initial acquisition of the network artifacts was forensically sound and steps were taken to ensure that the integrity of the artifacts was maintained during data collection phase. A Monte Carlo Feature Selection and Inter-dependency Discovery algorithm is applied in selecting the informative features, while logistic regression is used as the stochastic and probabilistic modeling methodology for the validation process. The experiment results show the validity of the network artifacts and can serve as a scientific methodology to support the initial assertions drawn from the network artifacts.

To access this resource, go to the Applications and Hot Topics section of the PMWL at, click on “Security of Project Data, Information and Systems”, scroll down to papers. Must be registered as Free Trial or Professional member and logged in to access.

This new resource provided through the PMWL university research internship program; to learn more, click here