A Novel Protocol-Free Bandage-Cover Cryptographer.

Area of Science:

• Computer Science
• Cybersecurity

Background:

• Cybersecurity threats like identity theft are increasing due to widespread internet use.
• Conventional cryptographic methods are insufficient for evolving cyber-attacks and lack camouflage capabilities.
• Data-mining robots pose a significant threat in the current cyber landscape.

Purpose of the Study:

• To introduce a novel software-defined, protocol-free cryptographic approach called bandage-cover cryptographer (BCC).
• To enable selective data protection and introduce camouflage mechanisms to mislead data-mining robots.
• To define and analyze new metrics for evaluating the effectiveness of this camouflage capability.

Main Methods:

• Development of a novel bandage-cover cryptographer (BCC) system.
• Implementation of selective data protection for arbitrary data parts.
• Definition of vulnerability and camouflage rates as evaluation metrics.
• Theoretical analysis of the proposed BCC's vulnerability and camouflage rates.

Main Results:

• The proposed bandage-cover cryptographer (BCC) provides a novel method for cybersecurity.
• BCC enables selective data protection, unlike existing methods that protect entire files.
• The BCC system incorporates camouflage to confuse data-mining robots, a feature absent in conventional cryptographers.
• Theoretical analysis demonstrates the effectiveness of BCC in terms of vulnerability and camouflage rates.

Conclusions:

• The bandage-cover cryptographer (BCC) represents a significant advancement in cybersecurity.
• BCC offers enhanced protection by allowing selective data encryption and introducing camouflage features.
• The defined metrics provide a framework for evaluating the effectiveness of camouflage in cryptographic systems.