DNACDS: Cloud IoE big data security and accessing scheme based on DNA cryptography

doi:10.1007/s11704-022-2193-3

Frontiers of Computer Science

2024, Vol. 18

Issue (1): 181801 https://doi.org/10.1007/s11704-022-2193-3

本期目录

DNACDS: Cloud IoE big data security and accessing scheme based on DNA cryptography

Ashish SINGH¹(

), Abhinav KUMAR², Suyel NAMASUDRA³

¹. School of Computer Engineering, KIIT Deemed to be University, Bhubaneshwar 751024, India
². Department of Computer Science and Engineering, Indian Institute of Information Technology Surat, Surat 394190, India
³. Department of Computer Science and Engineering, National Institute of Technology Agartala, Agartala 799046, India

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Abstract：

The Internet of Everything (IoE) based cloud computing is one of the most prominent areas in the digital big data world. This approach allows efficient infrastructure to store and access big real-time data and smart IoE services from the cloud. The IoE-based cloud computing services are located at remote locations without the control of the data owner. The data owners mostly depend on the untrusted Cloud Service Provider (CSP) and do not know the implemented security capabilities. The lack of knowledge about security capabilities and control over data raises several security issues. Deoxyribonucleic Acid (DNA) computing is a biological concept that can improve the security of IoE big data. The IoE big data security scheme consists of the Station-to-Station Key Agreement Protocol (StS KAP) and Feistel cipher algorithms. This paper proposed a DNA-based cryptographic scheme and access control model (DNACDS) to solve IoE big data security and access issues. The experimental results illustrated that DNACDS performs better than other DNA-based security schemes. The theoretical security analysis of the DNACDS shows better resistance capabilities.

Key words： IoE based cloud computing DNA cryptography IoE big data security StS KAP feistel cipher IoE big data access

收稿日期: 2022-04-04 出版日期: 2023-02-28

Corresponding Author(s): Ashish SINGH

作者简介:

Qingyong Zheng and Ya Gao contributed equally to this work.

引用本文:

. [J]. Frontiers of Computer Science, 2024, 18(1): 181801.
Ashish SINGH, Abhinav KUMAR, Suyel NAMASUDRA. DNACDS: Cloud IoE big data security and accessing scheme based on DNA cryptography. Front. Comput. Sci., 2024, 18(1): 181801.

链接本文:

https://academic.hep.com.cn/fcs/CN/10.1007/s11704-022-2193-3
https://academic.hep.com.cn/fcs/CN/Y2024/V18/I1/181801

Step	Entity	Function	Computation
1	At CSP	compute()	$M 1 = g x m o d p$
2	CSP $?$ U	send()	$M 1 = g x m o d p$
3	At U	compute()	$M 2 = g y m o d p$
4	At U	compute()	$S K = (M 1) y m o d p$
5	U $?$ CSP	send()	$E N C S K$ [ $s r$ (CSP $∣$ $M 1$ $∣$ $M 2$ )] + U's certificate + $M 2$
6	At CSP	compute()	$S K = (M 2) x m o d p$
7	At CSP	verify()	U’s signature
8	CSP $?$ U	send()	CSP certificate + $E N C S K$ [ $s c s p$ (U $∣$ $M 1$ $∣$ $M 2$ )]
9	At U	verify()	CSP signature
10	At CSP and U	compute()	Shared key $(S K) = (g) (x y) m o d p$

Tab.1

Fig.1

Fig.2

Character	ASCII Value	Character	ASCII Value	Character	ASCII Value
A	65	SPACE	32	a	97
B	66	$!$	33	b	98
C	67	$"$	34	c	99
D	68	#	35	d	100
$? ? ?$	$? ? ?$	$? ? ?$	$? ? ?$	$? ? ?$	$? ? ?$
X	88	$>$	62	125	}
Y	89	?	63	126	$～$
Z	90	@	64	127	DEL

Tab.2

Binary number (8-bit)	ASCII value
00000000	65
00000001	67
00000010	69
00000011	68
$? ? ?$	$? ? ?$
11111101	88
11111110	56
11111111	90

Tab.3

Tab.4

Fig.3

Fig.4

Performance parameter $↓$ /existing schemes →	Number of users	DNACDS	DNASK	DNA-proxy re-encryption	Shared secret key cryptosystem
Key generation time/ms	50	8.65	10.45	12.45	14.23
	250	28.12	32.6	36.56	39.56
	500	49.89	51.6	51.4	55.56
	1000	105.56	107.23	108.41	110.67
Encryption time/ms	50	3.58	4.47	6.14	8.55
	250	10.22	11.27	9.77	16.03
	500	13.82	15.17	14.60	24.19
	1000	19.60	23.66	36.13	44.58
Decryption time/ms	50	2.91	5.88	8.60	14.05
	250	7.75	13.96	14.53	23.48
	500	10.44	20.83	26.11	36.53
	1000	20.58	34.69	44.18	59.60
Data access time/ms	50	1.34	2.90	2.86	4.36
	250	5.86	12.64	9.31	16.11
	500	9.15	21.89	17.90	27.18
	1000	19.20	31.56	37.57	55.22
Authentication time/ms	50	1.52	2.31	4.52	6.93
	250	6.07	8.39	13.92	19.13
	500	13.47	13.99	20.44	25.76
	1000	22.11	38.71	38.13	50.94
CPU utilization/%	50	8.83	12.06	17.48	18.48
	250	22.03	20.44	27.32	35.52
	500	30.16	28.17	42.93	54.47
	1000	51.29	57.53	75.39	86.73

Tab.5

Fig.5

Fig.6

Fig.7

Fig.8

Fig.9

Fig.10

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