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Over the past two decades, significant researches have been done in analyzing the MD5 algorithm to address its collision problem. This paper enhanced the original MD5 by adding four logical operations to increase the security of the message to become free from collision attack. To test the enhanced algorithm, different data with collision problems using the MD5 Collision generator were used. The avalanche effect was measured, and the result provided more than 50%-bit change. The enhanced MD5 was also tested against dictionary attack using online cracking tools and these tools failed to crack and revert the message digest into plain text. Overall, the enhanced algorithm mitigated the collision problem of MD5.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |