TY - GEN
T1 - Analyzing group communication for preventing data leakage via email
AU - Zilberman, Polina
AU - Dolev, Shlomi
AU - Katz, Gilad
AU - Elovici, Yuval
AU - Shabtai, Asaf
PY - 2011/9/22
Y1 - 2011/9/22
N2 - Modern business activities rely on extensive email exchange. Various solutions attempt to analyze email exchange in order to prevent emails from being sent to the wrong recipients. However there are still no satisfying solutions; many email addressing mistakes are not detected and in many cases correct recipients are wrongly marked as potential addressing mistakes. In this paper we present a new approach for preventing emails addressing mistakes in organizations. The approach is based on analysis of emails exchange among members of the organization and the identification of groups based on common topics. Each member's topics are then used during the enforcement phase for detecting potential leakage. When a new email is composed and about to be sent, each email recipient is analyzed. A recipient is approved if the email's content belongs to at least one of the topics common to the sender and the recipient. We evaluated the new approach using the Enron Email dataset. Our evaluation results suggest that the new approach easily copes with email recipients that have no previous direct connection with the sender.
AB - Modern business activities rely on extensive email exchange. Various solutions attempt to analyze email exchange in order to prevent emails from being sent to the wrong recipients. However there are still no satisfying solutions; many email addressing mistakes are not detected and in many cases correct recipients are wrongly marked as potential addressing mistakes. In this paper we present a new approach for preventing emails addressing mistakes in organizations. The approach is based on analysis of emails exchange among members of the organization and the identification of groups based on common topics. Each member's topics are then used during the enforcement phase for detecting potential leakage. When a new email is composed and about to be sent, each email recipient is analyzed. A recipient is approved if the email's content belongs to at least one of the topics common to the sender and the recipient. We evaluated the new approach using the Enron Email dataset. Our evaluation results suggest that the new approach easily copes with email recipients that have no previous direct connection with the sender.
KW - data leakage prevention
KW - emails analysis
KW - organization security
UR - http://www.scopus.com/inward/record.url?scp=80052904122&partnerID=8YFLogxK
U2 - 10.1109/ISI.2011.5984047
DO - 10.1109/ISI.2011.5984047
M3 - Conference contribution
AN - SCOPUS:80052904122
SN - 9781457700828
T3 - Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
SP - 37
EP - 41
BT - Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
T2 - 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
Y2 - 10 July 2011 through 12 July 2011
ER -