{"id":2257,"date":"2020-12-24T10:48:06","date_gmt":"2020-12-24T08:48:06","guid":{"rendered":"http:\/\/ssl.ds.unipi.gr\/?p=2257"},"modified":"2020-12-24T10:48:06","modified_gmt":"2020-12-24T08:48:06","slug":"be-an-active-contributor-in-our-research","status":"publish","type":"post","link":"https:\/\/laboratories.ds.unipi.gr\/ssl\/events-news\/2020\/12\/24\/be-an-active-contributor-in-our-research\/","title":{"rendered":"Be an Active Contributor in Our Research"},"content":{"rendered":"

During the recent pandemic and the unprecedented changes in the way the world operates, there is an increase in email use (app. 20% increase in opening\u00a0rates<\/strong>) that correspondingly increases the risk of a cyberattack.<\/p>\n

It has been reported that phishing email attacks involving the\u00a0COVID-19<\/strong>\u00a0as\u00a0lure increased by 667%<\/strong>\u00a0between the period of February 2020 and March 2020. Moreover, the ENISA Threat Landscape 2020<\/a><\/strong>\u00a0\u00a0marks phishing attacks as one of the\u00a0most critical cyberthreats of 2020<\/strong>. These recent events indicate that phishing attacks are still a crucial threat and further research activities should be conducted to curve that threat. A serious limitation of phishing email in the detection research field is that there is a clear lack of publicly available phishing email datasets and that almost 70% of the papers used old datasets<\/strong>.<\/p>\n

\"\"<\/a><\/p>\n

Our team in the Systems Security Laboratory (SSL)<\/a><\/strong> of the University of Piraeus<\/a><\/strong>, among other security-related projects, is working on the phishing detection field to identify efficient ways exploiting the advancement of AI to detect, flag, and block phishing emails. Conversely, the limited phishing email data that are currently available are not sufficient to continue our research.<\/p>\n

Thus, we are working on the creation of a new phishing email dataset that will be comprised of the latest phishing email trends.<\/p>\n

The results of our research as well as the dataset, once ready, will be free and shared with all our community and the greater public. Should any contributor\u00a0wishes and\/or allows it, a special acknowledgment will be given.<\/p>\n

To create this dataset, we will need your invaluable\u00a0help.<\/p>\n

To that extent, we kindly ask you to contribute to our effort by gathering and sharing with us\u00a0any phishing emails that you or your organization has received lately (up to the last four years).<\/p>\n

Sharing can be in any way convenient to you, e.g.<\/p>\n