אסף שבתאי

אקדמי בכיר

Anti-reconnaissance tools

Detecting targeted socialbots

Abigail Paradise, Rami Puzis,Asaf Shabtai

Advanced attackers use online social networks to extract useful information about the target organization, including its members and their connections, affiliations, and positions. Socialbots are artificial, machine-operated, social network profiles that connect to real members of an organization, greatly increasing the amount of information an attacker can collect. To connect socialbots, attackers can employ several strategies. The authors' approach hunts socialbots using a carefully chosen monitoring strategy by intelligently selecting organization member profiles and monitoring their activity. Their results demonstrate their method's efficacy - specifically, when attackers know the defense strategy being deployed, the attack they will most likely use is randomly sprayed friend requests, which eventually lead to a low number of connections.

שפת פרסום אנגלית
דפים 11-19
כתב עת IEEE Internet Computing
כרך 18
נושא מספר 5
סטטוס פרסום פורסם - 01.01.2014
מספר מאמר 6840822

Keywords

reconnaissance
social network
socialbots

ASJC Scopus subject areas

Computer Networks and Communications
גישה למסמך
10.1109/MIC.2014.81
קבצים וקישורים אחרים
Link to publication in Scopus