TY - GEN
T1 - Cyber threat trend analysis model using HMM
AU - Kim, Do Hoon
AU - Lee, Taek
AU - Jung, Sung Oh David
AU - In, Hoh Peter
AU - Lee, Hee Jo
PY - 2007
Y1 - 2007
N2 - Prevention is normally recognized as one of the best defense strategy against malicious hackers or attackers. The desire of deploying better prevention mechanisms has motivated many security researchers and practitioners, who are studies threat trend analysis models. However, threat trend is not directly revealed from the time-series data because the trend is implicit in its nature. Besides, traditional time-series analysis, which predicts the future trend pattern by relying exclusively on the past trend pattern, is not appropriate for predicting a trend pattern in dynamic network environments (e.g., the Internet). Thus, supplemental environmental information is required to uncover a trend pattern from the implicit (or hidden) raw data. In this paper, we propose Cyber Threat Trend Analysis Model using Hidden Markov Model (HMM) by incorporating the supplemental environmental information into the trend analysis.
AB - Prevention is normally recognized as one of the best defense strategy against malicious hackers or attackers. The desire of deploying better prevention mechanisms has motivated many security researchers and practitioners, who are studies threat trend analysis models. However, threat trend is not directly revealed from the time-series data because the trend is implicit in its nature. Besides, traditional time-series analysis, which predicts the future trend pattern by relying exclusively on the past trend pattern, is not appropriate for predicting a trend pattern in dynamic network environments (e.g., the Internet). Thus, supplemental environmental information is required to uncover a trend pattern from the implicit (or hidden) raw data. In this paper, we propose Cyber Threat Trend Analysis Model using Hidden Markov Model (HMM) by incorporating the supplemental environmental information into the trend analysis.
UR - http://www.scopus.com/inward/record.url?scp=46749088696&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46749088696&partnerID=8YFLogxK
U2 - 10.1109/IAS.2007.19
DO - 10.1109/IAS.2007.19
M3 - Conference contribution
AN - SCOPUS:46749088696
SN - 0769528767
SN - 9780769528762
T3 - Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security
SP - 177
EP - 182
BT - Proceedings - IAS 2007 3rd Internationl Symposium on Information Assurance and Security
T2 - 3rd Internationl Symposium on Information Assurance and Security, IAS 2007
Y2 - 20 August 2007 through 31 August 2007
ER -