When Hashes Collide

Gutmann, Peter; Naccache, David; Palmer, Charles C.

doi:10.1109/msp.2005.84

Cited by 10 publications

(4 citation statements)

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“…It is well known that MD5 hash collisions exist, although they have largely been forced to occur in the laboratory (Burr, 2006;Gutman, Naccache, & Palmer, 2005;McHugh, 2014;Wang, Feng, Lai, & Yu, 2004;Wang & Yu, 2005). No one has yet reported hash collisions occurring in "nature;" that is, there are no reports of finding two different files on a given disk drive having the same MD5 hash.…”

Section: Problem Statementmentioning

confidence: 99%

The Impact of MD5 File Hash Collisions On Digital Forensic Imaging

Kessler¹

2016

JDFSL

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The Message Digest 5 (MD5) hash is commonly used as for integrity verification in the forensic imaging process. The ability to force MD5 hash collisions has been a reality for more than a decade, although there is a general consensus that hash collisions are of minimal impact to the practice of computer forensics. This paper describes an experiment to determine the results of imaging two disks that are identical except for one file, the two versions of which have different content but otherwise occupy the same byte positions on the disk, are the same size, and have the same hash value.

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Section: Problem Statementmentioning

confidence: 99%

The Impact of MD5 File Hash Collisions On Digital Forensic Imaging

Kessler¹

2016

JDFSL

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“…The Encryption implicated Integrity (EbI) is implicated on the technologies and progression of leading the cryptographic security depended services [9], [10]. Encryption is a crucial and important data along with their appliance implicated protection technique and the encryption keys should be accurately supervised and protected.…”

Section: Introductionmentioning

confidence: 99%

Secure Privacy Implications for Clients and End-users through Key Assortment Crypto Techniques Implicated Algorithm

Ramesh

Rama

2018

IJECE

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The main role of key assortment crypto techniques will helpful to provide the security to the sensitive data and play the key role for business developments. Some of the problems are rising when the scheme will sustain the possession control to present the latest set of technical and business concerns. Some of the complex challenges are waiting for the optimistic solutions. The challenges are: In the planned storage confidentiality implicated outline, the stipulation of encryption framework for the data which is conserve the self tunning to execute major key constratints by concerining their files which is imposed plaintext belonging, the owners of the privacy-data preserve the seclusion power over their own information to formulate assured wide-ranging service operations and the owners of data are facing the complexity to organize their possess data which is accessible-mode in cloud servers, concerned inner services: topology architecture type of implicated data with their operations, associated secrecy-privacy-secrecy dynamic replicas for make use of the databased security within their range of format and secretarial services with their encrypted data execution control. To overcome theses in convinces this paper is proposing the technical ideals through the algorithmic methodology along the graphical flow based architecture. This paper is proposing the key assortment crypto techniques implicated algorithm for clients and end-users to reduce the above mention complex difficulties; it describes the primary encryption implicated techniques and various levels of cryptographic algorithms with their implications along with extensions of cloud implicated data security and digital forensics implicated appliances which is implicated with enhanced various hash functions.

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“…Hence to overcome this disadvantage neural network is used in cryptography to generate the secret key. Here the generated secret key is random [7] [8].…”

Section: Introductionmentioning

confidence: 99%

Design of An Efficient Neural Key Generation

Jogdand¹,

Bisalapur²

2011

IJAIA

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The goal of any cryptographic system is the exchange of information among the intended users without any leakage of information to others who may have unauthorized access to it. A common secret key could be created over a public channel accessible to any opponent. Neural networks can be used to generate common secret key. In case of neural cryptography, both the communicating networks receive an identical input vector, generate an output bit and are trained based on the output bit. The two networks and their weight vectors exhibit a novel phenomenon, where the networks synchronize to a state withidentical time-dependent weights. The generated secret key over a public channel is used for encrypting and decrypting the information being sent on the channel.

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When Hashes Collide

Cited by 10 publications

References 0 publications

The Impact of MD5 File Hash Collisions On Digital Forensic Imaging

The Impact of MD5 File Hash Collisions On Digital Forensic Imaging

Secure Privacy Implications for Clients and End-users through Key Assortment Crypto Techniques Implicated Algorithm

Design of An Efficient Neural Key Generation

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