1. (2016). Références Referencias. Références Referencias, 14
2. Gary Mcgraw,Greg Morrisett (2000). Attacking Malicious Code: A Report to the Infosec Research Council. IEEE Software, 17(5), 33-41.
3. L Xufang,P Loh,F Tan (2011). Mechanisms of Polymorphic and Metamorphic Viruses. Intelligence and Security Informatics Conference (EISIC)
4. (2013). Unknown Title. Threats Predictions
5. R Berkenkopf (2010). Unknown Title.
6. Y Ye (2009). Intelligent file scoring system for malware detection from the gray list. Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 1385-1394.
7. K Rieck (2012). Malheur A novel tool for malware analysis. Malheur A novel tool for malware analysis
8. Cristian Pinzón,Juan De Paz,Dante Tapia,Javier Bajo,Juan Corchado (2012). Improving the security level of the FUSION@ multi-agent architecture. Expert Systems with Applications, 39(8), 7536-7545.
9. Ammar Ahmed,E Elhadi,M Maarof,A Osman (2012). Malware Detection Based on Hybrid Signature Behaviour Application Programming Interface Call Graph. American Journal of Applied Sciences, 9(3), 283-288.
10. P Kevadia Kaushal,Nilesh Prajapati (2012). Metamorphic Malware Detection Using Statistical Analysis. International Journal of Soft Computing and Engineering (IJSCE), 2(3)
11. T Yanfang Ye,Weiwei Shenghuo Zhu,Zhuang,Umesh Egementas,Melihabdulhayoglu Gupta (2011). Combining file content and file relations for cloud based malware detection. Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, 222-230.
12. M Christodorescu,S Jha,S Seshia,D Song,R Bryant (2005). Semantics-aware malware detection. 2005 IEEE Symposium on Security and Privacy (S&P'05), 32-46.
13. H Yin (2007). Panorama: capturing systemwide information flow for malware detection and analysis. Proceedings of the 14th ACM conference on Computer and communications security, 116-127.
14. P Vinod (2009). Survey on Malware Detection Methods. Survey on Malware Detection Methods
15. L Zeltser,X Jiang,X Wang,D Xu (2007). what is cloud Anti-Virus and how it does work. Stealthy malware detection through vmm-based "outof-the-box" semantic view reconstruction, in Computer and communications security, 128-138.
16. (2007). Automated dynamic binary analysis. Automated dynamic binary analysis
17. Deepak Venugopal,G (2008). Efficient signature based malware detection on mobile devices. Mob. Inf. Syst, 4(1), 33-49.
18. C Kolbitsch (2009). Effective and efficient malware detection at the end host. Proceedings of the 18th conference on USENIX security symposium, 351-366.
19. S Zhou (2009). A Heuristic Approach for Detection of Obfuscated Malware. IEEE, 20.
20. M Ahmed (2009). NIDS: A Network Based Approach to Intrusion Detection and Prevention. Computer Science and Information Technology -Spring Conference
21. Tal Garfinkel,Ben Pfaff,Jim Chow,Mendel Rosenblum,Dan Boneh (2003). Terra. Proceedings of the nineteenth ACM symposium on Operating systems principles, 193-206.
22. H Lagar-Cavilla (2009). Flexible Computing with Virtual Machines. Flexible Computing with Virtual Machines
23. V Gorodetsky (2007). Multi-agent Peer-to-Peer Intrusion Detection Computer Network Security. Multi-agent Peer-to-Peer Intrusion Detection Computer Network Security, 260-271.
24. Xiao-Ling Ye,Ying-Chao Zhang,Chao-Long Zhang,Chao Chen,Xin-Yi Huang (2009). A Mobile Agent and Snort Based Distributed Intrusion Detection System. 2009 WRI World Congress on Software Engineering, 281-285.
25. C. -M Ou,C Ou (2010). Agent-Based immunity for computer virus: abstraction from dendritic cell algorithm with danger theory. Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing, 670-678.
26. S Bijani,D Robertson (2011). Intrusion detection in open peer-to-peer multi-agent systems. Proceedings of the 5 th international conference on Autonomous infrastructure, management, and security: managing the dynamics of networks and services, 177-180.
27. H Dong (2011). Research on adaptive distributed intrusion detection system model based on Multi-Agent. Research on adaptive distributed intrusion detection system model based on Multi-Agent
28. C Ou (2011). Multiagent-based computer virus detection systems: abstraction from dendritic cell algorithm with danger theory. Springerlink
29. Paritosh Das,Rajdeep Niyogi (2012). A Temporal Logic Based Approach to Multi-Agent Intrusion Detection and Prevention. International Journal of Communication Networks and Security, 53-61.
30. C Moser,E Kruegel,Kirda (2007). Limits of static analysis for malware detection. Proceedings of the 23rd Annual Computer Security Applications Conference (ACSAC '07), 421-430.
31. P Okane,S Sezer,K Mclaughlin (2011). Obfuscation: the hidden malware. Global Journal of Computer Science and Technology, 9(5), 41-47.
32. Silvio Cesare,Yang Xiang (2012). Software Similarity Searching and Classification. SpringerBriefs in Computer Science, 71-75.
33. M Rajagopalan,M Hiltunen,T Jim,R Schlichting (2006). System call monitoring using authenticated system calls. IEEE Transactions on Dependable and Secure Computing, 3(3), 216-229.
34. M Abadi,M Budiu,U Erlingsson,J Ligatti (2005). Control-´flow integrity. Proceedings of the 12th ACM Conference on Computer and Communications Security, 340-353.
35. V Sathyanarayan,Pankaj Kohli,Bezawada Bruhadeshwar (2008). Signature Generation and Detection of Malware Families. Lecture Notes in Computer Science, 336-349.
36. B Sami,H Yadegari,N Rahimi,S Peiravian,A Hashemi,Hamze (2010). Malware detection based on mining API calls. Proceedings of the 25th Annual ACM Symposium on Applied Computing (SAC '10), 1020-1025.
37. Y Ye,D Wang,T Li,D Ye (2007). IMDS: intelligent malware detection system. Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1043-1047.
38. M Alazab,S Venkatraman,P Watters (2011). Zeroday malware detection based on supervised learning algorithms of API call signatures. Proceedings of the 9 th Australasian Data Mining Conference (AusDM '11), 121, 171-182.
39. Ronghua Tian,Rafiqul Islam,Lynn Batten,Steve Versteeg (2010). Differentiating malware from cleanware using behavioural analysis. 2010 5th International Conference on Malicious and Unwanted Software, 23-30.
40. M Shankarapani,K Kancherla,S Ramammoorthy,R Movva,S Mukkamala (2010). Kernel machines for malware classification and similarity analysis. The 2010 International Joint Conference on Neural Networks (IJCNN), 1-6.
41. M Shankarapani,S Ramamoorthy,R Movva,S Mukkamala (2011). Malware detection using assembly and API call sequences. Journal in Computer Virology, 7(2), 107-119.
42. F Ahmed,H Hameed,M Shafiq,M Farooq (2009). Using spatiotemporal linformationin API call swithmachinelea rning algorithms for malware detection. Proceedings of the 2nd ACM Workshop on Security and Artificial Intelligence, 55-62.
43. Yong Qiao,Yuexiang Yang,Jie He,Chuan Tang,Zhixue Liu (2014). CBM: Free, Automatic Malware Analysis Framework Using API Call Sequences. Advances in Intelligent Systems and Computing, 225-236.
44. Y Qiao,Y Yang,L Ji,He (2013). Analyzing malware by abstracting the frequent item sets in API call sequences. Proceedings of the 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom '13), 265-270.
45. J Bergeron,M Debbabi,J Desharnais,M Erhioui,Y Lavoie,N Tawbi (2001). Static detection of malicious code in executable programs. Proceedings of the Symposium on Requirements Engineering for Information Security (SREIS '01)
46. J. -W Jang,J Woo,J Yun,H Kim (2014). Malnetminer: malware classification based on social network analysis of call graph. Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion (WWW Companion '14), 731-734.
47. Konrad Rieck,Philipp Trinius,Carsten Willems,Thorsten Holz (2011). Automatic analysis of malware behavior using machine learning. Journal of Computer Security, 19(4), 639-668.
48. C Linn,M Rajagopalan,S Baker,C Collberg,S Debray,J Hartman (2005). Protecting against unexpected system calls. Proceedings of the 14th USENIX Security Symposium, 239-254.
49. Blake Anderson,Daniel Quist,Joshua Neil,Curtis Storlie,Terran Lane (2011). Graph-based malware detection using dynamic analysis. Journal in Computer Virology, 7(4), 247-258.
50. U Bayer,P Comparetti,C Hlauschek,C Kruegel (2009). Scalable, Behavior-Based Malware Clustering. Proceedings of the 16th Annual Network and Distributed System Security Symposium
51. (null). Papio anubis Olive Baboon (Anubis Baboon) : Fr. Babouin Doguera; Ger. Anubispavian. Mammals of Africa : Primates
52. P Indyk,R Motwani (1998). Approximate Nearest Neighbor: Towards Removing the Curse of Dimensionality. Proceedings of 30th Annual ACM Symposium on Theory of Computing, 604-613.
53. M Biley,J Oberheid,J Andersen,Z Morley Mao,F Jahanian,J Nazario (2007). Automated Classification and Analysis of Internet Malware. Proceedings of the 10 th International Conference on Recent Advances in Intrusion Detection, 4637, 178-197.
54. Y Park,D Reeves,V Mulukutla,B Sundaravel (2010). Fast Malware Classification by Automated Behavioral Graph Matching. Proceedings of the 6th Annual Workshop on Cyber Security and Information Intelligence Research, 45.
55. I Firdausi,C Lim,A Erwin (2010). Analysis of Machine Learning Techniques Used in Behavior Based Malware Detection. Proceedings of 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies (ACT), 201-203.
56. S Nari,A Ghorbani (2013). Automated malware classification based on network behavior. 2013 International Conference on Computing, Networking and Communications (ICNC), 642-647.
57. M Hall,E Frank,G Holmes,B Pfahringer,P Reutemann,I Witten (2009). The WEKA Data Mining Software: An Update. ACM SIGKDD Explorations Newsletter, 10-18.
58. T Lee,J Mody (2006). Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing couuntries - SAICSIT '06. Proceedings of the European Institute for Computer Antivirus Research Conference (EICAR'06)
59. I Santos,J Devesa,F Brezo,J Nieves,P Bringas (2013). OPEM: A Static-Dynamic Approach for Machine Learning Based Malware Detection. Proceedings of International Conference CISIS'12-ICEUTE'12, Special Sessions Advances in Intelligent Systems and Computing, 189, 271-280.
60. R Islam,R Tian,L Battenb,S Versteeg (2013). Classification of Malware Based on Integrated Static and Dynamic Features. Journal of Network and Computer Application, 36, 646-556.
61. Blake Anderson,Curtis Storlie,Terran Lane (2012). Improving malware classification. Proceedings of the 5th ACM workshop on Security and artificial intelligence, 3-14.
