INTERNET THREAT LANDSCAPE BY AGGREGATING DECENTRALIZED & RANDOMLY SELECTED TRAFFIC LOGS BASED ON DESTINATION PORTS
Narita. IJIRIS:: International Journal of Innovative Research in Information Security, Volume VI (Issue VI):
117-128(November 2019)1. Symantec, 2019 Internet Security Threat Report, Vol. 24, 2019. 2. Akamai, 2019 State of the Internet / Security: Media Under Assault, 2019. https://www.akamai.com 3. J. Xia, S. Vangala, J. Wu, L. Gao, and K. Kwiat, “Effective Worm Detection for Various Scan Technique,” Journal of Computer Security, vol.14, no.4, pp.359–387, 2006. 4. W. Yu, X. Wang, X. Fu, D. Xuan, and W. Zhao, “An Invisible Localization Attack to Internet Threat Monitors,” IEEE Trans. Parallel and Distributed Systems, vol.20, no.11, pp.1611–1625, 2009. 5. M. Narita, K. Ogura, B.B. Bista, and T. Takata, “Evaluating a Dynamic Internet Threat Monitoring Method for Preventing PN Code-Based Localization Attack,” Proc. 17th International Conference on Network-Based Information Systems (NBiS 2014), 2014. 6. M. Narita, B.B. Bista, and T. Takata, “A Practical Study on Noise-Tolerant PN Code-Based Localisation Attacks to Internet Threat Monitors,” Int. J. Space-Based and Situated Computing, vol.3, no.4, pp.215–226, December 2013. 7. W. Yu, S. Wei, G. Ma, X. Fu, and N. Zhang, “On Effective Localization Attacks Against Internet Threat Monitors,” Proc. 2013 IEEE International Conference on Communications (ICC), pp.2011–2015, 2013. 8. UCSD Network Telescope. https://www.caida.org/projects/network telescope/ 9. Guillot, R. Fontugne, P. Winter, P. Me´rindol, A. King, A. Dainotti, and C. Pelsser, “Chocolatine: Outage Detection for Internet Background Radiation,” 10. Proc. Network Traffic Measurement and Analysis Conference (TMA), June 2019. DShield. http://www.dshield.org/ 11. M. Eto, D. Inoue, J. Song, J. Nakazato, K. Ohtaka, and K. Nakao, “nicter: A Large-Scale Network Incident Analysis System: Case Studies for Understanding Threat Landscape,” Proc. 1st Workshop on Building Analysis Datasets and Gathering Experience Returns for Security, pp.37–45, 2011. 12. D. Inoue, M. Eto, K. Suzuki, M. Suzuki, and K. Nakao, “DAEDALUS-VIZ: Novel Real-Time 3D Visualization for Darknet Monitoring-Based Alert System,” Proc. 9th International Symposium on Visualization for Cyber Security, pp.72–79, October 2012. 13. H. Kanehara, Y. Murakami, J. Shimamura, T. Takahashi, D. Inoue and N. Murata, “Real-time botnet detection using nonnegative tucker decomposition,” 14. Proc. the 34th ACM/SIGAPP Symposium on Applied Computing, pp.1337–1344, April 2019. 15. X. Fan, C. Li, and X. Dong, “ A Real-Time Network Security Visualization System Based on Incremental Learning (ChinaVis 2018),” J. Visualization, pp.1–15, October 2018. 16. Y. Shinoda, K. Ikai, and M. Itoh, “Vulnerabilities of Passive Internet Threat Monitors,” Proc. 14th USENIX Security Symposium, pp.209–224, 2005. 17. J. Bethencourt, J. Franklin, and M. Vernon, “Mapping Internet Sensors with Probe Response Attacks,” Proc. 14th USENIX Security Symposium, pp.193– 208, 2005. 18. S. Wei, D. Shen, L. Ge, W. Yu, E.P. Blasch, K.D. Pham, and G. Chen, “Secured Network Sensor-Based Defense System,” Proc. SPIE 9469, Sensors and Systems for Space Applications VIII, 2015. 19. W. Yu, N. Zhang, X. Fu, R. Bettati, and W. Zhao, “Localization Attacks to Internet Threat Monitors: Modeling and Countermeasures,” IEEE Trans. Computers, vol.59, no.12, pp.1655–1668, 2010. 20. ENISA, “Proactive Detection of Network Security Incidents, Report,” https://www.enisa.europa.eu/2011. 21. M. Kamizono et al., “anti Malware engineering WorkShop ~MWS Datasets 2015~,” MWS2015, 2015..
DOI: doi://10.26562/IJIRIS.2019.NVIS10080
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Independence of repressive histone marks and chromatin compaction during senescent heterochromatic layer formationT. Chandra, K. Kirschner, J. Thuret, B. Pope, T. Ryba, S. Newman, K. Ahmed, S. Samarajiwa, R. Salama, T. Carroll and 19 other author(s). Mol Cell, 47 (2):
203--214(July 2012)Normalization of metabolomics data with applications to correlation maps.A. Jauhiainen, B. Madhu, M. Narita, M. Narita, J. Griffiths, and S. Tavaré. Bioinform., 30 (15):
2155-2161(2014)Online Monitoring System(OMS) - An Online Tool for Centralized Monitoring of NGOs.R. Shankar, and Narita. GHTC, page 208-213. IEEE, (2012)INTERNET THREAT LANDSCAPE BY AGGREGATING DECENTRALIZED & RANDOMLY SELECTED TRAFFIC LOGS BASED ON DESTINATION PORTSNarita. IJIRIS:: International Journal of Innovative Research in Information Security, Volume VI (Issue VI):
117-128(November 2019)1. Symantec, 2019 Internet Security Threat Report, Vol. 24, 2019. 2. Akamai, 2019 State of the Internet / Security: Media Under Assault, 2019. https://www.akamai.com 3. J. Xia, S. Vangala, J. Wu, L. Gao, and K. Kwiat, “Effective Worm Detection for Various Scan Technique,” Journal of Computer Security, vol.14, no.4, pp.359–387, 2006. 4. W. Yu, X. Wang, X. Fu, D. Xuan, and W. Zhao, “An Invisible Localization Attack to Internet Threat Monitors,” IEEE Trans. Parallel and Distributed Systems, vol.20, no.11, pp.1611–1625, 2009. 5. M. Narita, K. Ogura, B.B. Bista, and T. Takata, “Evaluating a Dynamic Internet Threat Monitoring Method for Preventing PN Code-Based Localization Attack,” Proc. 17th International Conference on Network-Based Information Systems (NBiS 2014), 2014. 6. M. Narita, B.B. Bista, and T. Takata, “A Practical Study on Noise-Tolerant PN Code-Based Localisation Attacks to Internet Threat Monitors,” Int. J. Space-Based and Situated Computing, vol.3, no.4, pp.215–226, December 2013. 7. W. Yu, S. Wei, G. Ma, X. Fu, and N. Zhang, “On Effective Localization Attacks Against Internet Threat Monitors,” Proc. 2013 IEEE International Conference on Communications (ICC), pp.2011–2015, 2013. 8. UCSD Network Telescope. https://www.caida.org/projects/network telescope/ 9. Guillot, R. Fontugne, P. Winter, P. Me´rindol, A. King, A. Dainotti, and C. Pelsser, “Chocolatine: Outage Detection for Internet Background Radiation,” 10. Proc. Network Traffic Measurement and Analysis Conference (TMA), June 2019. DShield. http://www.dshield.org/ 11. M. Eto, D. Inoue, J. Song, J. Nakazato, K. Ohtaka, and K. Nakao, “nicter: A Large-Scale Network Incident Analysis System: Case Studies for Understanding Threat Landscape,” Proc. 1st Workshop on Building Analysis Datasets and Gathering Experience Returns for Security, pp.37–45, 2011. 12. D. Inoue, M. Eto, K. Suzuki, M. Suzuki, and K. Nakao, “DAEDALUS-VIZ: Novel Real-Time 3D Visualization for Darknet Monitoring-Based Alert System,” Proc. 9th International Symposium on Visualization for Cyber Security, pp.72–79, October 2012. 13. H. Kanehara, Y. Murakami, J. Shimamura, T. Takahashi, D. Inoue and N. Murata, “Real-time botnet detection using nonnegative tucker decomposition,” 14. Proc. the 34th ACM/SIGAPP Symposium on Applied Computing, pp.1337–1344, April 2019. 15. X. Fan, C. Li, and X. Dong, “ A Real-Time Network Security Visualization System Based on Incremental Learning (ChinaVis 2018),” J. Visualization, pp.1–15, October 2018. 16. Y. Shinoda, K. Ikai, and M. Itoh, “Vulnerabilities of Passive Internet Threat Monitors,” Proc. 14th USENIX Security Symposium, pp.209–224, 2005. 17. J. Bethencourt, J. Franklin, and M. Vernon, “Mapping Internet Sensors with Probe Response Attacks,” Proc. 14th USENIX Security Symposium, pp.193– 208, 2005. 18. S. Wei, D. Shen, L. Ge, W. Yu, E.P. Blasch, K.D. Pham, and G. Chen, “Secured Network Sensor-Based Defense System,” Proc. SPIE 9469, Sensors and Systems for Space Applications VIII, 2015. 19. W. Yu, N. Zhang, X. Fu, R. Bettati, and W. Zhao, “Localization Attacks to Internet Threat Monitors: Modeling and Countermeasures,” IEEE Trans. Computers, vol.59, no.12, pp.1655–1668, 2010. 20. ENISA, “Proactive Detection of Network Security Incidents, Report,” https://www.enisa.europa.eu/2011. 21. M. Kamizono et al., “anti Malware engineering WorkShop ~MWS Datasets 2015~,” MWS2015, 2015..F. Riesz Theorem.K. Narita, K. Nakasho, and Y. Shidama. Formalized Mathematics, 25 (3):
179-184(2017)Clause-level Negative-opinion Analysis for Classifying Reviews on Multiple Domains.K. Akiyama, K. Mitsuzawa, N. Kazuya, T. Kumamoto, and A. Nadamoto. iiWAS, page 113-121. ACM, (2018)Acoustic Noise Analysis in Echo Planar Imaging: Multi-center Trial and Comparison With Other Pulse Sequences.T. Miyati, T. Banno, H. Fujita, M. Mase, H. Narita, M. Imazawa, and S. Ohba. IEEE Trans. Med. Imaging, 18 (8):
733-736(1999)Remote Interaction between Human and Humanoid Robot.H. Takanobu, H. Tabayashi, S. Narita, A. Takanishi, E. Guglielmelli, and P. Dario. Journal of Intelligent and Robotic Systems, 25 (4):
371-385(1999)PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things.G. Narita, T. Seno, T. Ishikawa, and Y. Kaji. IROS, page 4205-4212. IEEE, (2019)Optical Flow Based Line Drawing Frame Interpolation Using Distance Transform to Support Inbetweenings.R. Narita, K. Hirakawa, and K. Aizawa. ICIP, page 4200-4204. IEEE, (2019)
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