Cyberstalking Issues

Xiaohua Feng; Audrey Asante; Emma Short; Iroshan Abeykoon

doi:10.1109/DASC-PICom-DataCom-CyberSciTec.2017.78

Cyberstalking Issues

Xiaohua Feng
, Audrey Asante
, Emma Short
, Iroshan Abeykoon

Institute for Research in Applicable Computing (IRAC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Cyberstalking is closely related to Digital forensics. Digital forensics is an investigation and analysis technique to gather and preserve evidence from a particular computing device in a way that is suitable for presentation in a court of law. The goal of computer forensics is to perform a structured investigation while maintaining a documented chain of evidence to find out exactly what happened on a computing device and who was responsible for it. We can extract evidences from digital devices. The cutting edge technology is to track down the Cyber-stalking evidence with the aid of AI technology, report to law enforcement, and pin down the identity of the stalker. A key focus at this moment is how to proactively detect and prevent this kind of crime.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	373-376
ISBN (Print)	9781538619551
DOIs	https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.78
Publication status	Published - 2 Apr 2018
Event	2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) - Orlando Duration: 6 Oct 2017 → 10 Oct 2017

Conference

Conference	2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
City	Orlando
Period	6/10/17 → 10/10/17
Other	2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) (06/10/2017-10/10/2017, Orlando)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

profiling general data protection regulation (GDPR)
machine learning
AI (Artificial Intelligence)
Digital forensics; Cyber-stalking frameworks
commonsense knowledge
data mining

Access to Document

10.1109/DASC-PICom-DataCom-CyberSciTec.2017.78

https://ieeexplore.ieee.org/document/8328421

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Cite this

@inproceedings{7dc7821ff3fc4722b74a7a1ae1c82eb0,

title = "Cyberstalking Issues",

abstract = "Cyberstalking is closely related to Digital forensics. Digital forensics is an investigation and analysis technique to gather and preserve evidence from a particular computing device in a way that is suitable for presentation in a court of law. The goal of computer forensics is to perform a structured investigation while maintaining a documented chain of evidence to find out exactly what happened on a computing device and who was responsible for it. We can extract evidences from digital devices. The cutting edge technology is to track down the Cyber-stalking evidence with the aid of AI technology, report to law enforcement, and pin down the identity of the stalker. A key focus at this moment is how to proactively detect and prevent this kind of crime.",

keywords = "profiling general data protection regulation (GDPR), machine learning, AI (Artificial Intelligence), Digital forensics; Cyber-stalking frameworks, commonsense knowledge, data mining",

author = "Xiaohua Feng and Audrey Asante and Emma Short and Iroshan Abeykoon",

year = "2018",

month = apr,

day = "2",

doi = "10.1109/DASC-PICom-DataCom-CyberSciTec.2017.78",

language = "English",

isbn = "9781538619551",

pages = "373--376",

booktitle = "nan",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) ; Conference date: 06-10-2017 Through 10-10-2017",

}

Feng, X, Asante, A, Short, E & Abeykoon, I 2018, Cyberstalking Issues. in nan. Institute of Electrical and Electronics Engineers Inc., pp. 373-376, 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), Orlando, 6/10/17. https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.78

TY - GEN

T1 - Cyberstalking Issues

AU - Feng, Xiaohua

AU - Asante, Audrey

AU - Short, Emma

AU - Abeykoon, Iroshan

PY - 2018/4/2

Y1 - 2018/4/2

N2 - Cyberstalking is closely related to Digital forensics. Digital forensics is an investigation and analysis technique to gather and preserve evidence from a particular computing device in a way that is suitable for presentation in a court of law. The goal of computer forensics is to perform a structured investigation while maintaining a documented chain of evidence to find out exactly what happened on a computing device and who was responsible for it. We can extract evidences from digital devices. The cutting edge technology is to track down the Cyber-stalking evidence with the aid of AI technology, report to law enforcement, and pin down the identity of the stalker. A key focus at this moment is how to proactively detect and prevent this kind of crime.

AB - Cyberstalking is closely related to Digital forensics. Digital forensics is an investigation and analysis technique to gather and preserve evidence from a particular computing device in a way that is suitable for presentation in a court of law. The goal of computer forensics is to perform a structured investigation while maintaining a documented chain of evidence to find out exactly what happened on a computing device and who was responsible for it. We can extract evidences from digital devices. The cutting edge technology is to track down the Cyber-stalking evidence with the aid of AI technology, report to law enforcement, and pin down the identity of the stalker. A key focus at this moment is how to proactively detect and prevent this kind of crime.

KW - profiling general data protection regulation (GDPR)

KW - machine learning

KW - AI (Artificial Intelligence)

KW - Digital forensics; Cyber-stalking frameworks

KW - commonsense knowledge

KW - data mining

U2 - 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.78

DO - 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.78

M3 - Conference contribution

SN - 9781538619551

SP - 373

EP - 376

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)

Y2 - 6 October 2017 through 10 October 2017

ER -

Cyberstalking Issues

Abstract

Conference

UN SDGs

Keywords

Access to Document

Handle.net

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Cite this