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Computer Sciences

Electrical & Computer Engineering and Computer Science Faculty Publications

Mobile device forensics

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Full-Text Articles in Computer Engineering

I Know What You Did Last Summer: Your Smart Home Internet Of Things And Your Iphone Forensically Ratting You Out, Gokila Dorai, Shiva Houshmand, Ibrahim Baggili Aug 2018

I Know What You Did Last Summer: Your Smart Home Internet Of Things And Your Iphone Forensically Ratting You Out, Gokila Dorai, Shiva Houshmand, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

The adoption of smart home Internet of Things (IoT) devices continues to grow. What if your devices can snitch on you and let us know where you are at any given point in time? In this work we examined the forensic artifacts produced by Nest devices, and in specific, we examined the logical backup structure of an iPhone used to control a Nest thermostat, Nest Indoor Camera and a Nest Outdoor Camera. We also integrated the Google Home Mini as another method of controlling the studied Smart Home devices. Our work is the primary account for the examination of Nest ...


A Method And A Case Study For The Selection Of The Best Available Tool For Mobile Device Forensics Using Decision Analysis, Shahzad Saleem, Oliver Popov, Ibrahim Baggili Mar 2016

A Method And A Case Study For The Selection Of The Best Available Tool For Mobile Device Forensics Using Decision Analysis, Shahzad Saleem, Oliver Popov, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

The omnipresence of mobile devices (or small scale digital devices - SSDD) and more importantly the utility of their associated applications for our daily activities, which range from financial transactions to learning, and from entertainment to distributed social presence, create an abundance of digital evidence for each individual. Some of the evidence may be a result of illegal activities that need to be identified, understood and eventually prevented in the future. There are numerous tools for acquiring and analyzing digital evidence extracted from mobile devices. The diversity of SSDDs, types of evidence generated and the number of tools used to uncover ...


Quantifying Relevance Of Mobile Digital Evidence As They Relate To Case Types: A Survey And A Guide For Best Practices, Shahzad Saleem, Ibrahim Baggili, Oliver Popov Jan 2014

Quantifying Relevance Of Mobile Digital Evidence As They Relate To Case Types: A Survey And A Guide For Best Practices, Shahzad Saleem, Ibrahim Baggili, Oliver Popov

Electrical & Computer Engineering and Computer Science Faculty Publications

In this work, a survey was conducted to help quantify the relevance of nineteen types of evidence (such as SMS) to seven types of digital investigations associated with mobile devices (MD) (such as child pornography). 97 % of the respondents agreed that every type of digital evidence has a different level of relevance to further or solve a particular investigation. From 55 serious participants, a data set of 5,772 responses regarding the relevance of nineteen types of digital evidence for all the seven types of digital investigations was obtained. The results showed that (i) SMS belongs to the most relevant ...


Forensic Analysis Of Social Networking Applications On Mobile Devices, Noora Al Mutawa, Ibrahim Baggili, Andrew Marrington Jan 2012

Forensic Analysis Of Social Networking Applications On Mobile Devices, Noora Al Mutawa, Ibrahim Baggili, Andrew Marrington

Electrical & Computer Engineering and Computer Science Faculty Publications

The increased use of social networking applications on smartphones makes these devices a goldmine for forensic investigators. Potential evidence can be held on these devices and recovered with the right tools and examination methods. This paper focuses on conducting forensic analyses on three widely used social networking applications on smartphones: Facebook, Twitter, and MySpace. The tests were conducted on three popular smartphones: BlackBerrys, iPhones, and Android phones. The tests consisted of installing the social networking applications on each device, conducting common user activities through each application, acquiring a forensically sound logical image of each device, and performing manual forensic analysis ...