• Aucun résultat trouvé

Degree one pseudoholomorphic maps

Dans le document Intersection of almost complex submanifolds (Page 34-40)

5. Pseudoholomorphic maps and symplectic birational geometry

5.2. Degree one pseudoholomorphic maps

Para futuros trabalhos, espera-se avaliar a fundo o desempenho da t´ecnica OBB na aplica¸c˜ao de detec¸c˜ao de intrusos. A etapa de gera¸c˜ao de regras pode ser otimizada a fim de utilizar as hipercaixas com diversas orienta¸c˜oes de forma r´apida para n˜ao comprometer o desempenho do classificador em um ambiente real.

O c´alculo do grau de complexidade tamb´em ´e um importante fator para validar a escalabilidade da t´ecnica utilizada. Por fim, ainda ´e poss´ıvel adicionar aprendizado ao sistema, para torn´a-lo ainda mais capaz de lidar com novos ataques e amea¸cas sofisticadas que venham a ser criadas ap´os a modelagem.

Almeja-se, tamb´em, adaptar o sistema de detec¸c˜ao para integr´a-lo como m´odulo de an´alise no motor do software Snort, a fim de possibilitar sua aplica¸c˜ao em um ambiente real. A cria¸c˜ao de um honeypot1 pode servir para simular uma rede sendo atacada por amea¸cas comuns nos dias de hoje.

1Rede de computadores conectados `a Internet com diversas vulnerabilidades criadas propositalmente

Referências

AEBERHARD, S. Wine recognition data. [S.l.], 1991.

AICKELIN U.; GREENSMITH, J. T. J. Immune system approaches to intrusion detection. Arti?cial Immune Systems, Third International Conference, 2004.

ASUNCION A; NEWMAN, D. J. UCI Machine Learning Repository. [S.l.], 2007. AV. Malware Statistics over the Years. [S.l.], 2014. Dispon´ıvel em: <http: //www.av-test.org/en/statistics/malware/>.

BIERMANN E.; CLOETE, E. V. L. M. A comparison of intrusion detection systems. Computers and Security, v. 20, n. 8, p. 676–683, 2001. ISSN 0167-4048.

BILAR, D. Statistical structures: Fingerprinting malware for classification and analysis. In: WELLESLEY COLLEGE, MA. Black Hat Briefings. [S.l.], 2006. p. 50.

BLACKARD, J. A. Forest Covertype data. [S.l.], 1993. BOHANEC, M. Car Evaluation Database. [S.l.], 1997.

BOURG, D. M. Physics for Game Developers. [S.l.]: O’Reilly, 2002. CBSNEWS. Nsa surveillance exposed. CBS, 2014.

CHIH WEI H.; CHIH, J. L. A comparison of methods for multiclass support vector machines. IEEE Transactions on Neural Networks, v. 2, n. 13, 2002.

COUTINHO, M. P. Detec¸c˜ao De Ataques Em Infra-Estruturas Cr´ıticas De Sistemas El´etricos De Potˆencia Usando T´ecnicas Inteligentes. Tese (Doutorado) — Universidade Federal De Itajub´a, 2007.

CRUNCH, R. E. T. Hack Attack: Sony Confirms PlayStation Network Outage Caused By ’External Intrusion’. 2011. Dispon´ıvel em: <http://techcrunch.com/2011/04/23/ hack-attack-sony-confirms-playstation-network-outage-caused-by-external-intrusion/>. ECONOMIST, T. Data, data everywhere. The Economist, Fevereiro 2010.

ENGINE, U. G. Mesh Collider. [S.l.], 2009.

EVERITT, B. S. The Cambridge Dictionary of Statistics. 4. ed. [S.l.]: Cambridge University Press, 2010. 478 p.

FAWCETT, T. Roc graphs: Notes and practical considerations for data mining researchers. Intelligent Enterprise Technologies Laboratory, HP Laboratories, 2013. FISHER, R. Iris Plants Database. [S.l.], 1988.

FUNG, G. M.; MANGASARIAN, O. L. Multicategory proximal support vector machine classifiers. [S.l.], 2001.

GERMAN, B. Glass Identification Database. [S.l.], 1987.

GLOBO, O. Hacker acessa dados do Ex´ercito brasileiro e divulga informa¸c˜oes de quase mil funcion´arios. 2011.

GOTTSCHALK, S. Collision Queries using Oriented Bounding Boxes. Tese (Doutorado) — Department of Computer Science, UNC, 2000.

GROUP, V. Image Segmentation data. [S.l.], 1990.

GUJRATHI, S. Heartbleed bug: Anopenssl heartbeat vulnerability. International Journal of Computer Science and Engine ter Science and Engineering, v. 2, n. 5, p. 61–64, 2014. E-ISSN: 2347-2693.

HETTICH, S.; BAY, S. D. The UCI KDD Archive. [S.l.], 1999.

HSU, C.-W.; LIN, C.-J. A Comparison of Methods for Multiclass Support Vector Machines. 2002.

INSTITUTE, S. T. SANS. 2013.

KASPERSKY. Kaspersky Security Bulletin 2013. [S.l.], 2014.

KAYACIK H. G.; ZINCIR-HEYWOOD, A. N. H. M. I. A hierarchical som-based intrusion detection system. Engineering Applications of Arti?cial Intelligence, v. 20, n. 4, p. 439–451, 2007. ISSN 0952-1976.

KIM J.; BENTLEY, P. J. A. U. G. J. T. G. T. J. Immune system approaches to intrusion detection - a review. Natural Computing, v. 6, n. 4, p. 413–466, 2007.

LEAVITT, N. A technology that comes highly recommended. Computer, v. 46, n. 3, p. 14–17, March 2013. ISSN 0018-9162.

MACMILLAN, C. D. C. N. A. Detection Theory: A User’s Guide. [S.l.]: Taylor & Francis, 2004.

MAGAZINE, S. Best ids/ips. SC Magazine, 2011. Dispon´ıvel em: <http://www. scmagazine.com/best-idsips/article/196010/>.

MBIKAYI, H. K. An evolution strategy approach toward rule-set generation for network intrusion detection systems (ids). CoRR, abs/1212.0170, 2012.

MITNICK K. L.; SIMON, W. L. A Arte de Invadir: As verdadeiras hist´orias por tr´as das a¸c˜oes de hackers, intrusos e criminosos eletrˆonicos. [S.l.]: Prentice Hall, 2006. MOOD F. A. GRAYBILL, D. C. B. A. M. Introduction to the Theory of Statistics. [S.l.]: McGraw-Hill, 1974. 577 p.

NETWORK, M. B. E. The Sony PlayStation 3 hack deciphered: what consumer- electronics designers can learn from the failure to protect a billion-dollar product ecosystem. 2011.

PAWLAK, Z. Rough set approach to knowledge-based decision support. European journal of operational research, 1997.

PEREIRA, J. P. Comparison of firewall, intrusion prevention and antivirus technologies. Juniper Networks, Inc, v. 1, p. 1–8, 2006.

RECORD, R. Grupo de hackers tenta invadir sites do Governo Fede- ral Brasileiro. 2011. Dispon´ıvel em: <http://rederecord.r7.com/video/

grupo-de-hackers-tenta-invadir-sites-do-governo-federal-brasileiro-4e027e19b51a4b961b36afa6/ >.

ROBINSON, D. D. M. N. T. Vowel Recognition (Deterding data). [S.l.], 1989.

ROESCH, M. Snort. 2013. Sourcefire, Inc. Dispon´ıvel em: <http://www.snort.org/>. SANZ, J. A. et al. Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system. Applied Soft Computing, v. 20, n. 0, p. 103–111, 2014. ISSN 1568-4946. Hybrid intelligent methods for health technologies.

SHCHERBAKOVA, T. Spam Report May. [S.l.], 2014.

SHORTLIFFE, B. G. B. E. H. Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. [S.l.]: Addison Wesley, 1984.

SIGKDD. KDD Cup 1999: Computer network intrusion detection. [S.l.], 1999. Dispon´ıvel em: <http://www.sigkdd.org/kdd-cup-1999-computer-network-intrusion-detection>. SULAIMAN, H. A.; BADE, A. Bounding Volume Hierarchies for Collision Detection, Computer Graphics. [S.l.: s.n.], 2012.

UCHOA, J. Q. Algoritmos Imunoinspirados aplicados em seguran¸ca computacional: utiliza¸c˜ao de algoritmos inspirados no sistema imune para detec¸c˜ao de intrusos em redes de computadores. Tese (Doutorado) — Universidade Federal de Minas Gerais, Maio 2009. VEJA, R. Invas˜ao ao Itamaraty permitiu que hackers tivessem acesso a documentos da Copa. 2014.

WEBER, R. F. Seguran¸ca na internet. Anais da XIX JAI - Jornada de Atualiza¸c˜ao em Inform´atica, p. 43–82, 2000. Curitiba: PUCPR.

YADRON, W. D. Symantec develops new attack on cyberhacking. Wall

Street Journal, 2014. Dispon´ıvel em: <http://online.wsj.com/news/article\\ email/

SB10001424052702303417104579542140235850578-lMyQjAxMTA0MDAwNTEwNDUyWj>. YU Z.; TSAI, J. J. P. W. T. J. An automatically tuning intrusion detection system. IEEE Transactions on Systems, Man, and Cybernetics, Part B, v. 7, n. 2, p. 373–384, 2007.

Dans le document Intersection of almost complex submanifolds (Page 34-40)

Documents relatifs