EN
Behavioral Steganography in Social Networks
Öz
Recently, using human behavior to hide the existence of information has been at the center of steganography research. In this study, a behavioral steganography algorithm using CMI (Coded Signal Inversion) coding is proposed to minimize the high bit error rate that occurs when transmitting a large number of continuous and identical confidential information in the knapsack algorithm, which is used to improve information transmission efficiency and flexibility of transmission mode in social networks. In the proposed algorithm; Data redundancy is reduced by reducing the number of mutual friends of the sender and each receiver. Then, the proposed algorithm was applied and the results were analyzed. Experimental analysis shows that this scheme improves the practical value of behavioral steganography in social networks and has high security.
Anahtar Kelimeler
Kaynakça
- Çıtlak O, Dörtler M. and Doğru, İ. A. A survey on detecting spam accounts on Twitter network. Soc.Netw. Anal. Min. 2019, 9:35.
- Dutta H, Das R K, Nandi S, An overview of digital audio steganography. IETE Technical Review, 2020, 37(6): 632 - 650.
- Evsutin O, Melman S, Meshcheryakov R, V. Digital steganography and watermarking for digital images: a review of current research directions. IEEE Access, 2020, 8: 166589 - 166611.
- Han X, Li G. Dynamic cat transformation and chaotic mapping image encryption algorithm. Computer Engineering and Design, 2020, 41(08): 2381 - 2387.
- Hu F. A probabilistic solution discovery algorithm for solving 0-1 knapsack problem. International Journal of Parallel, Emergent, and Distributed Systems, 2018, 33(6): 618 - 626.
- Hu Y, Wang Z, Zhang X. Steganography in social networks based on behavioral correlation. IETE Technical Review, 2020, 38(1): 93 - 99.
- Kantartopoulos P, Pitropakis N, Mylonas, A. Exploring adversarial attacks and defenses for fake Twitter account detection. Technologies, 2020, 8 (4): 64.
- Li S, Zhang X. Towards construction based data hiding: from secrets to fingerprint images. IEEE Transactions on Image Processing, 2019, 28(3): 1482 - 1497.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Yayımlanma Tarihi
28 Aralık 2022
Gönderilme Tarihi
21 Kasım 2022
Kabul Tarihi
13 Aralık 2022
Yayımlandığı Sayı
Yıl 2022 Cilt: 11 Sayı: 4
APA
Gençoğlu, M. T. (2022). Behavioral Steganography in Social Networks. Türk Doğa ve Fen Dergisi, 11(4), 135-141. https://doi.org/10.46810/tdfd.1208075
AMA
1.Gençoğlu MT. Behavioral Steganography in Social Networks. TDFD. 2022;11(4):135-141. doi:10.46810/tdfd.1208075
Chicago
Gençoğlu, Muharrem Tuncay. 2022. “Behavioral Steganography in Social Networks”. Türk Doğa ve Fen Dergisi 11 (4): 135-41. https://doi.org/10.46810/tdfd.1208075.
EndNote
Gençoğlu MT (01 Aralık 2022) Behavioral Steganography in Social Networks. Türk Doğa ve Fen Dergisi 11 4 135–141.
IEEE
[1]M. T. Gençoğlu, “Behavioral Steganography in Social Networks”, TDFD, c. 11, sy 4, ss. 135–141, Ara. 2022, doi: 10.46810/tdfd.1208075.
ISNAD
Gençoğlu, Muharrem Tuncay. “Behavioral Steganography in Social Networks”. Türk Doğa ve Fen Dergisi 11/4 (01 Aralık 2022): 135-141. https://doi.org/10.46810/tdfd.1208075.
JAMA
1.Gençoğlu MT. Behavioral Steganography in Social Networks. TDFD. 2022;11:135–141.
MLA
Gençoğlu, Muharrem Tuncay. “Behavioral Steganography in Social Networks”. Türk Doğa ve Fen Dergisi, c. 11, sy 4, Aralık 2022, ss. 135-41, doi:10.46810/tdfd.1208075.
Vancouver
1.Muharrem Tuncay Gençoğlu. Behavioral Steganography in Social Networks. TDFD. 01 Aralık 2022;11(4):135-41. doi:10.46810/tdfd.1208075