KABLOSUZ ALGILAYICI AĞLARINDA HOMOMORFİK ŞİFRELEME İLE GÜVENLİ VERİ KÜMELEME

Öz

Artık veri aktarımını önlemek ve istenilen bilgiyi özetleyebilmek için Kablosuz Algılayıcı Ağlarında (KAA) veri kümeleme vazgeçilmez bir ihtiyaçtır. Genelde saldırılara açık ortamlarda kullanılmaları sebebiyle KAA’lar için bir başka önemli gereklilikte ağ üzerinde taşınan verinin gizliliğinin sağlanmasıdır. Ancak geleneksel veri kümeleme protokollerinde veri kümeleme işlemi sırasında veri gizliliğini sağlamak mümkün değildir. Bu çalışmada literatürdeki veri kümeleme teknikleri incelenip bunların veri gizliliğini sağlayan güvenlik algoritmaları ile olan ilişkileri incelenmiştir. Buna ek olarak homomorfik şifrelemeye dayanan yeni ve orijinal bir güvenli veri kümeleme protokolü sunulmuştur. Geliştirilen protokolde homomorfik şifreleme tekniği kullanılarak şifrelenmiş veriler üzerinden veri kümeleme yapmak mümkündür ve bunun sonucu olarakta kümeleme işlemi sırasında veri gizliliği sağlanabilmektedir.

Anahtar Kelimeler

• Algılayıcı ağları, veri kümeleme, veri gizliliği

Kaynakça

1. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y.,
2. Cayirci, E., “A survey on sensor networks”,
3. IEEE Communications Magazine, 40(8), 102-
4. , 2002.
5. Intanagonwiwat, C., Estrin, D., Govindan, R.,
6. Heidemann, J., Impact of network density on
7. Data Aggregation in wireless sensor networks,
8. nd International Conference on Distributed

9. Computing Systems, 575-578, 2002.
10. Fan, K.W., Liu, S., Sinha, P., Structure-free Data
11. Aggregation in Sensor Networks, IEEE
12. Transactions on Mobile Computing, 6(8), 929-
13. , 2007.
14. Cam, H., Ozdemir, S., Nair, P.,
15. Muthuavinashiappan, D., Sanli, H.O., Energy-
16. Efficient and secure pattern based data
17. aggregation for wireless sensor networks, Special
18. Issue of Computer Communications on Sensor
19. Networks, 446-455, 2006.
20. Lee, S., Chung, T., Data Aggregation for
21. Wireless Sensor Networks Using Self organizing
22. Map, Artificial Intelligence and Simulation, V.
23. , 508-517, 2005.
24. Intanagonwiwat, C., Govindan, R., Estrin, D.,
25. Heidemann, J., Silva, F., Directed Diffusion for
26. Wireless Sensor Networking, IEEE/ACM
27. Transactions on Networking, vol.11, no. 1, 2-
28. , 2003.
29. Lindsey, S., Raghavendra, C.S., PEGASIS:
30. Power Efficient Gathering in Sensor Information
31. Systems, IEEE Aerospace Conference, 1125-
32. , 2002.
33. Madden, S.R., Franklin, M.J., Hellerstein, J.M.,
34. Hong, W., TAG: tiny aggregation service for adhoc
35. sensor networks, The 5th symposium on
36. Operating systems design and implementation,
37. -146, 2002.
38. Heinzelman, W., Chandrakasan, A.,
39. Balakrishnan, H., Energy-Efficient
40. Communication Protocol for Wireless Micro
41. Sensor Networks, The 33rd Hawaii
42. International Conference on System Sciences,
43. -10, 2000.
44. Heinzelman, W., Kulik, J., Balakrishnan, H.,
45. Adaptive Protocols for Information
46. Dissemination in Wireless Sensor Networks, The
47. th ACM/IEEE Mobicom Conference, 1999.
48. Hu, L., Evans, D., Secure aggregation for
49. wireless networks, Workshop on Security and
50. Assurance in Ad hoc Networks, 384-392, 2003.
51. Przydatek, B., Song, D. Perrig, A., SIA : Secure
52. information aggregation in sensor networks,
53. SenSys’03, 255 – 265, 2003.
54. Merkle, R.C., Protocols for public key
55. cryptosystems, IEEE Symposium on Research
56. in Security and Privacy, 122-134,1980.
57. Cam, H., Ozdemir, S., Sanli, H.O., Nair, P.,
58. Secure differential data aggregation for wireless
59. sensor networks, Sensor Network Operations,
60. Editor: Phoha, S., La Porta, T.F., Griffin, C.,
61. Wiley-IEEE Press, 422-442, April 2006.
62. Girao, J., Westhoff, D., Schneider,
63. M., Concealed Data Aggregation for Reverse
64. Multicast Traffic in Sensor Networks:
65. Encryption, Key Distribution, and Routing
66. Adaptation. IEEE Transactions on Mobile
67. Computing, 1417-1431, 2006.
68. Domingo-Ferrer, J., A provably secure additive
69. and multiplicative privacy homomorphism,
70. Information Security Conference, LNCS 2433,
71. -483, 2002.
72. Okamoto, T., Uchiyama, S., A new Public-Key
73. Cryptosystem as Secure as Factoring, Advances
74. in Cryptology - EUROCRYPT’98, 208-318,
75. -
76. Mica2 Motes, Crossbow Technologies Inc.,
77. http://www.xbow.com.
78. Seetharam, D., Rhee, S., An efficient pseudo
79. random number generator for low-power sensor
80. networks, 29th Annual IEEE International
81. Conference on Local Computer Networks,
82. -562, 2004.
83. Law, Y. W., Doumen, J., Hartel, P., Survey and
84. benchmark of block ciphers for wireless sensor
85. networks, ACM Transactions on Sensor
86. Networks, 65-93, 2006.
87. Bellare, M., Desai, A., Jokipii, E., Rogaway, P.,
88. A concrete security treatment of symmetric
89. encryption. IEEE Symposium on Foundations
90. of Computer Science, 394–403, 1997.
91. Liu, D., Ning, P., Establishing pairwise keys in
92. distributed sensor networks, 10th ACM
93. Conference on Computer and
94. Communications Security (CCS), 52-61, 2003.
95. Perrig, A., Szewczyk, R., Tygar, D., Wen, V.,
96. Culler, D., SPINS: Security protocols for sensor
97. networks, Wireless Networks Journal (WINE),
98. -534, 2002.
99. Castelluccia, C., Mykletun, E., Tsudik, G.,
100. "Efficient aggregation of encrypted data in
101. wireless sensor networks," Conference on
102. Mobile and Ubiquitous Systems: Networking
103. and Services, vol., no., pp. 109-117, 2005.
104. QualNet Network Simulator by Scalable
105. Network Technologies., www.scalablenetworks.
106. com/
107. Heinzelman, W. R., Chandrakasan, A. and
108. Balakrishnan, H. “An Application-Specific
109. Protocol Architecture for Wireless Microsensor
110. Networks,” IEEE Transactions on Wireless
111. Communications, vol. 1, no. 4, pp. 660–670,
112. October 2002.