| Presentation | 2017-03-14 Graph based Detection of Advanced Persistent Threat on LAN Hiroki Nagayama, Bo Hu, Takaaki Koyama, Jun Miyoshi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently the countermeasures against continuously increasing Advanced Persistent Threats(APT) are urgently necessary. In APT, the attacker remotely controls the infected enterprise host and operate stealthily for network reconnaissance, further intrusion on others and data exfiltration. It is difficult to prevent APT during initial intrusion phase because attackers usually apply unknown malwares. Therefore, it is important to detect attackers' reconnaissance activities and specify infected hosts in early stage accepting the possibility of initial intrusion. Most of conventional techniques for APT detection require data from packet capture and network flow, and not reliable enough due to setup operation cost, huge traffic volume and so on. Therefore, we focus on ARP request traffic which can be obtained more easily and has small traffic volume. Conventional methods using ARP traffic only can detect reconnaissance activities that have distinctive features such as connecting toa large number of destinations, to a destination with high frequency or to a unused IP address. However, in the case of APT, due to stealthy operation of the attacker, it is difficult to extract required features for applying those method. In our research, we propose an anomaly detection method which 1) represents observed communication between hosts as a graph by using ARP request traffic, 2) extracts normal pattern between different hosts as a set of sub-graphs, 3) and detect unknown traffic across different sub-graphs as anomaly pattern. The proposed method realizes detection of reconnaissance activities of APT in early stage. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | advanced persistent threat / reconnaissance activities / ARP / graph mining / anomaly detection |
| Paper # | ICSS2016-65 |
| Date of Issue | 2017-03-06 (ICSS) |
| Conference Information | |
| Committee | ICSS / IPSJ-SPT |
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| Conference Date | 2017/3/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | University of Nagasaki |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | System Security, etc. |
| Chair | Yutaka Miyake(KDDI R&D Labs.) |
| Vice Chair | Yoshiaki Shiraishi(Kobe Univ.) / Takeshi Ueda(Mitsubishi Electric) |
| Secretary | Yoshiaki Shiraishi(NII) / Takeshi Ueda(Yokohama National Univ.) |
| Assistant | Kazunori Kamiya(NTT) / Takahiro Kasama(NICT) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication System Security / Special Interest Group on Security Psychology and Trust |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Graph based Detection of Advanced Persistent Threat on LAN |
| Sub Title (in English) | |
| Keyword(1) | advanced persistent threat |
| Keyword(2) | reconnaissance activities |
| Keyword(3) | ARP |
| Keyword(4) | graph mining |
| Keyword(5) | anomaly detection |
| 1st Author's Name | Hiroki Nagayama |
| 1st Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 2nd Author's Name | Bo Hu |
| 2nd Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 3rd Author's Name | Takaaki Koyama |
| 3rd Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 4th Author's Name | Jun Miyoshi |
| 4th Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| Date | 2017-03-14 |
| Paper # | ICSS2016-65 |
| Volume (vol) | vol.116 |
| Number (no) | ICSS-522 |
| Page | pp.pp.153-158(ICSS), |
| #Pages | 6 |
| Date of Issue | 2017-03-06 (ICSS) |