Black Box Cryptanalysis of AES128

๐Ÿ“… 2026-08-24
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ๆœฌๆ–‡้€š่ฟ‡้ป‘็›’่ฎก็ฎ—็š„ๅฑ€้ƒจ้€†ๆ–นๆณ•ๅฏนAES128่ฟ›่กŒๅฏ†็ ๅˆ†ๆž๏ผŒๆๅ‡บไบ†ไธ€็งๅœจๅทฒ็Ÿฅๆ˜Žๆ–‡ๆ”ปๅ‡ปไธ‹ๅฎž้™…ๅฏ่กŒ็š„ๅฏ†้’ฅๆขๅคๆ–นๆกˆใ€‚
๐Ÿ“ Abstract
This paper presents computational results of cryptanalysis of AES using the Local Inversion by Black Box computations of the forward encryption and utilizes these results to develop a practically feasible approach for the key recovery of the full scale AES128 under Known Plaintext Attack (KPA). It is shown that complete recovery of unknown key bits is possible upto $80$ bits in a practically feasible time and memory in random KPA situation by sequential computation when remaining $48$ bits are known. The results of key recovery in $64$, $72$ and $80$ bit unknown cases are extrapolated to predict the period of the iterative sequence generated in the local inversion approach for the full $128$ bit unknown key case and a strategy is proposed to search the actual period by brute force parallel search of the sequence period with $10$ free bits defining the search space. Then it is shown that the actual key can be verified in polynomial time by fast powering of the forward encryption map. Hence this strategy shows that the key recovery problem for AES128 under KPA has a high chance of success in practically feasible time. Local inversion approach to cryptanalysis using black box computations is a universal method applicable to a vast variety of key recovery and map inversion problems. Hence the results presented in this paper are representative of estimates of cryptanalysis of other ciphers which can be considered almost as strong as AES128 as encryption functions.
Problem

Research questions and friction points this paper is trying to address.

AES128
Known Plaintext Attack
key recovery
Black Box computations
Local Inversion
Innovation

Methods, ideas, or system contributions that make the work stand out.

Local Inversion
Black Box Computations
Known Plaintext Attack (KPA)
Key Recovery
AES128
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V
Virendra Sule
Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, India
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Kunal Telangi
Private Researcher