Author: Mustafa Ali AKCA
Publishing Date: 2016
E-ISSN: 2147-9364
Volume: 4 Issue: 2
DOI : 10.15317/Scitech.2016218523
ABSTRACT:
Cyber hackers execute attacks with the many goal such as seizing target systems, leaving temporarily out of service, shutting down completely, and deleting data. In order to protect against those attacks, many applications such as firewalls and network monitoring systems are used. Today, in fact there is one technique that is much more effective than those hacking activities, which is Social Engineering. This term explains the action of seizing information about systems, institutions or individuals by using human relationships and people’s carelessness, and persuasion, influence, and deception, which otherwise cannot be achieved by ordinary methods. This is actually one of the most difficult-to-protect methods in IT system security problems. While traditional hacking methods are eliminated by various security software, here the one who attacks and the one who is being attacked are both human itself. In this research, a web service which could be used both on desktop and web-based applications was developed. This web service tries to identify the opposite person by Natural Language Processing techniques. User is warned about it if the opposite person is actually not the person we think we are talking and has some different aims. Therefore, precaution could be taken against attacks done by Social Engineering. This service was tested on on-site messaging and e-mail applications and positives results were observed
Key Words: Social Engineering, Cyber Hackers, Natural Language Processing