Deep Learning Algorithm for Threat Detection in Hackers Forum (Deep Web)

Abstract

In our current society, the inter-connectivity of devices provides easy access for netizens to utilize cyberspace technology for illegal activities. The deep web platform is a consummative ecosystem shielded by boundaries of trust, information sharing, trade-off, and review systems. Domain knowledge is shared among experts in hackers forums which contain indicators of compromise that can be explored for cyberthreat intelligence. Developing tools that can be deployed for threat detection is integral in securing digital communication in cyberspace. In this paper, we addressed the use of TOR relay nodes for anonymizing communications in deep web forums. We propose a novel approach for detecting cyberthreats using a deep learning algorithm Long Short-Term Memory (LSTM). The developed model outperformed the experimental results of other researchers in this problem domain with an accuracy of 94% and precision of 90%. Our model can be easily deployed by organizations in securing digital communications and detection of vulnerability exposure before cyberattack.

Threat Actors’ Tenacity to Disrupt: Examination of Major Cybersecurity Incidents

“…Threat actors persistently combine many techniques such as social engineering attack, dictionary attack, or brute force attacks to extract login credentials which include usernames and passwords in many cases [31], [32]. Millions of user login credentials have been compromised in the last decade with usernames and passwords exposed into the dark web [33]. In April 2020 for example, an estimate of 500,000 stolen zoom passwords including login credentials, victim personal meeting URLs, and host keys were available for sale in darknet markets while some account credentials were made available for free [33].…”

“…Millions of user login credentials have been compromised in the last decade with usernames and passwords exposed into the dark web [33]. In April 2020 for example, an estimate of 500,000 stolen zoom passwords including login credentials, victim personal meeting URLs, and host keys were available for sale in darknet markets while some account credentials were made available for free [33].…”

Evaluation of User Perception on Biometric Fingerprint System

“…A criminal offense is committed when a technical device is used to gain unauthorized access to a system. The Electronic Communications Privacy Act (ECPA) was passed to address such offenses enacted to protect electronic communications in storage and transit [21,22].…”