Abstract
With the virtual world having become part of the social lives of adults and minors alike, new attack vectors emerged to increase the severity of human-related attacks to a level the community has not experienced before. This article investigates this phenomenon and shares an outline of how technology could develop further to counteract and mitigate the damage caused by online perpetrators.
Cyber-stalking and online bullying can have devastating effects on individuals, but it's affecting the workplace too. In response, relevant technology could be used to counteract and mitigate the damage caused by online perpetrators.
Haider M al-Khateeb and Gregory Epiphaniou of the University of Bedfordshire approach this issue using an incident response methodology and discuss the role of machine learning to identify and classify such attacks. They also examine how digital forensic investigations can be carried out in order to analyse the nature of the offence and preserve evidence.
Cyber-stalking and online bullying can have devastating effects on individuals, but it's affecting the workplace too. In response, relevant technology could be used to counteract and mitigate the damage caused by online perpetrators.
Haider M al-Khateeb and Gregory Epiphaniou of the University of Bedfordshire approach this issue using an incident response methodology and discuss the role of machine learning to identify and classify such attacks. They also examine how digital forensic investigations can be carried out in order to analyse the nature of the offence and preserve evidence.
| Original language | English |
|---|---|
| Pages (from-to) | 14-18 |
| Number of pages | 4 |
| Journal | Computer Fraud & Security |
| Volume | 2016 |
| Issue number | 1 |
| Early online date | 26 Jan 2016 |
| DOIs | |
| Publication status | Published - Jan 2016 |