Real time prediction and detection of malicious activities

Date: 
01/09/2019 to 31/01/2021

The PhD project deals with the problem of hacking the infrastructure of a company or the everyday activities of individuals. The increased sophisticationand targeted nature of security threats, coupled with their increasing frequency, has ensured that security breaches are now the top issue affecting allusers and organizations today. Regarding the economic effect, security researches predicted that the global cost of data breaches would increase from $3trillion in 2015 to $6 trillion by 2021.Traditional security approaches are good practice, but they are no longer enough. Hackers increasingly bypasses perimeter security, enabling cyberthieves to pose as authorized users with access to corporate networks for unlimited periods. Organizational threats manifest themselves through changingand complex signals that are difficult to detect with traditional signature-based and rule-based monitoring solutions. Instead of signature and reputation-based detection methods, artificial intelligence innovations, use machine-learning algorithms to drive from post-incident to pre-incident threat intelligence.With machine learning, the computer is trained to find differences to distinguish normal behaviors from malicious activities but much faster than signature-based techniques. On the other hand, machine learning has a major disadvantage; most of the times predict a normal behavior as a threat. Hence, whilethe analysts are trying to classify a false predict activity as normal the true attacks are already in the system and exploit it.In our approach, we implement a new robust technique to reduce the ratio of these false predictions. POST Luxembourg is the industrial partner and ontop of its framework, we apply algorithms to predict and identify true attacks accurately. The outcome of the project will benefit the Luxembourgishindividuals and increase the reputation of provided services

Week: 
Monday, 10 December, 2018

Project type:

News

POSEIDON: Protection and control of Secured Information by means of a privacy-enhanced Dashboard

Poseidon is one of the General Data Protection Regulation (GDPR) Cluster projects that aims to develop an innovative Privacy Enhancing Dashboard for personal data protection supporting the digital security pillars of the new EU’s GDPR.

Future Events

Cluj Innovation Days
24/05/2019 to 25/05/2019
Image:

Digital transformation is the new buzz concept, threatening the until recently undisputed reign of “Innovation”. Lately, the two have become synonyms or, in many cases, they condition each other in a very fuzzy relationship: you cannot have innovation without at least some degree of digitalization, but digital transformation is a consequence of being innovative.Amidst all this tumult and debate, the process is already transforming our professional and personal environments. Various sectors are on the blink of radical transformation, while others will disappear altogether.

Brussels - Second CW Concertation Meeting, 04/06/2019
04/06/2019
Image:

Join us at the second Cyberwatching.eu Concertation meeting, 04 June 2019!