Shield: Smart Detection System to Protect Children from Sexual Abuse

Samra, Somaya; Alshouli, Marwa; Alaryani, Shamma; Aasfour, Bshayer; Shehieb, Wessam; Mir, Mustahsan

doi:10.1109/bmeicon53485.2021.9745227

Cited by 3 publications

(5 citation statements)

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“…3) Working on Videos or Sensor Data: Three papers [34], [39] and [42] focused on processing video. While a fourth paper [33] used information from sensors to detect child abuse activities. In [34] and [42], the authors proposed methods to detect and prevent the distribution of CSA images and videos on online sharing platforms.…”

Section: ) Working On Textmentioning

confidence: 99%

“…In [39], Hole et al developed a software prototype that used both faces and voices to match victims and offenders across CSA videos. The sensor-based work [33] designed and implemented a system which used a smartwatch and two pressure sensors on a belt and on underclothes to detect sexual abuse behaviours. The smartwatch also contains some sensors to detect the body temperature, the heart rate and skin conductance.…”

Section: ) Working On Textmentioning

confidence: 99%

“…1) Self-Build: Twenty-one research works [10], [11], [12], [14], [15], [16], [20], [21], [23], [24], [27], [31], [32], [33], [34], [37], [39], [40], [41], [42] and [43] created their own datasets to evaluate and discuss their systems. For example, Quayle [17] collected CSA text from social networks and media sources, namely Facebook, BBC news, Skype, WhatsApp and Instagram.…”

Section: B Datasets Usedmentioning

confidence: 99%

“…Applied Methods 1) Statistical: Statistical analysis of large datasets is a common approach used to discern patterns and trends without bias, enabling us to discover meaningful information from large amounts of raw unstructured data. The 14 papers [12], [13], [15], [16], [17], [18], [19], [24], [33], [34], [37], [40], [42] and [43] used statistical methods to analyse their datasets.…”

Section: B Datasets Usedmentioning

confidence: 99%

“…For example, they discovered that more than 50% of the Hotline reports were discussed in the dark web. In [33], the system applied a simple algorithm based on a threshold of returned values of sensors worn. The system could detect and prevent most acts of sexual abuse or assault against children by calling the parents, or taking a picture or producing an alarm.…”

Section: B Datasets Usedmentioning

confidence: 99%

See 4 more Smart Citations

Investigation, Detection and Prevention of Online Child Sexual Abuse Materials: A Comprehensive Survey

Ngo¹,

Dang²,

Thorpe³

et al. 2023

Preprint

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Child sexual abuse inflicts lifelong devastating consequences for victims and is an ongoing social concern. In most countries, child sexual abuse material (CSAM) distribution is illegal. As a result, there are many research papers in the literature which proposed technologies to detect and investigate CSAM. In this survey, a comprehensive search of the peer-reviewed journal and conference paper databases (including preprints) is conducted to identify high-quality literature. We use the PRISMA methodology to refine our search space to 2,761 papers published by Springer, Elsevier, IEEE and ACM. After iterative reviews of title, abstract and full text for relevance to our topics, 43 papers are included for full review. Our paper provides a comprehensive synthesis of the tasks of the current research and how the papers use techniques and datasets to solve their tasks and evaluate their models. To the best of our knowledge, we are the first to focus exclusively on online CSAM detection and prevention with no geographic boundaries, and the first survey to review papers published after 2018. It can be used by researchers to identify gaps in knowledge and relevant publicly available datasets that may be useful for their research.

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Section: ) Working On Textmentioning

confidence: 99%

Section: ) Working On Textmentioning

confidence: 99%

Section: B Datasets Usedmentioning

confidence: 99%

Section: B Datasets Usedmentioning

confidence: 99%

Section: B Datasets Usedmentioning

confidence: 99%

See 3 more Smart Citations

Investigation, Detection and Prevention of Online Child Sexual Abuse Materials: A Comprehensive Survey

Ngo¹,

Dang²,

Thorpe³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Investigation, Detection and Prevention of Online Child Sexual Abuse Materials: A Comprehensive Survey

Ngox

Thorpe

Dang

et al. 2022

2022 RIVF International Conference on Computing and Communication Technologies (RIVF)

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Efficient Application Protection against Untrusted Operating Systems

Murtaza,

Tanweer,

Ahmad

et al. 2022

VFAST trans. softw. eng.

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Commodity monolithic systems are enormous, having lots of unprotection that leads to attacks. In this era of increasing technology, relying on mobile devices and other electronic devices increases the threat from adversaries as they have the potential to obtain physical access to many computers through breaching and security theft. It is still challenging to secure data as our operating systems are less trustworthy than we expected. When the operating system (OS) is destabilized, the application data and implementation are at the attacker's mercy. Other operating systems are less trustworthy than we imagined. Therefore when the OS is unstable, data and application implementation are vulnerable to attackers. Our protective application strategy includes a secure network platform, equipment modification, and efficiency expenditure. Existing protecting application scheme has different drawbacks, such as a vast trusted computing base, hardware refinement, and high-performance overhead. To overcome these drawbacks, we present the scheme of AppShield, which has a bare-metal hypervisor-based technique in which we safely protect the data of critical applications and their execution by application localization. Due to this, we protect only critical applications, and due to this, our operating system can run without performance loss.

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Shield: Smart Detection System to Protect Children from Sexual Abuse

Cited by 3 publications

References 5 publications

Investigation, Detection and Prevention of Online Child Sexual Abuse Materials: A Comprehensive Survey

Investigation, Detection and Prevention of Online Child Sexual Abuse Materials: A Comprehensive Survey

Investigation, Detection and Prevention of Online Child Sexual Abuse Materials: A Comprehensive Survey

Efficient Application Protection against Untrusted Operating Systems

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