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Home»ADOPTION NEWS»Manta Network and Blocksec Unveil Sequencer Threat Overwatch Program (STOP)
ADOPTION NEWS

Manta Network and Blocksec Unveil Sequencer Threat Overwatch Program (STOP)

By Crypto FlexsJuly 3, 20243 Mins Read
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Manta Network and Blocksec Unveil Sequencer Threat Overwatch Program (STOP)
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In a major move to strengthen blockchain security, Manta Network and Blocksec have announced the Sequencer Threat Overwatch Program (STOP). This initiative aims to strengthen the security of Layer 2 (L2) solutions by providing strong protection at the sequencer level. According to Manta Network, this collaboration promises to set a new standard in the blockchain security landscape.

What is a sequencer?

Sequencers in blockchain technology, especially L2 solutions, are a critical component in managing the order and execution of transactions. These sequencers collect, verify, and order transactions before submitting them to a layer 1 (L1) blockchain such as Ethereum. This process improves the efficiency and integrity of the blockchain network.

Importance of sequencers in L2 solutions

Sequencers play a key role in improving transaction throughput and user experience in L2 solutions. By processing transactions off-chain and committing the results to the L1 blockchain, Sequencers can process a large number of transactions simultaneously, reducing costs and increasing efficiency. This capability is essential for high-demand applications such as decentralized finance (DeFi) platforms, gaming, and supply chain management.

Introducing the Sequencer Threat Overwatch Program (STOP)

The STOP initiative integrates advanced threat detection and prevention mechanisms to protect the sequencer level in L2 solutions. It leverages Blocksec’s Phalcon, the world’s first attack monitoring and blocking platform, to ensure comprehensive security.

STOP’s architecture

STOP integrates Phalcon’s attack detection engine to inspect all L2 transactions before they are included in the L2 chain. Malicious transactions are isolated for further inspection, and only legitimate transactions are allowed to proceed. This process enhances security without incurring additional costs to users or the protocol.

A Deep Dive into BlockSec Phalcon

Phalcon, developed by BlockSec, is renowned for its advanced security solutions in the blockchain space. It has successfully prevented more than 20 cryptocurrency attacks, saving over $20 million in assets. Phalcon’s threat scanning service uses advanced algorithms and machine learning to analyze each block and transaction to identify potential threats, identify and mitigate risks.

Breakthrough Advancement in Phalcon-Based STOP

Phalcon’s attack detection engine is highly accurate, with a false positive rate of less than 0.0001%. It isolates suspicious transactions at the sequencer level, preventing any damage caused by attacks. This built-in security at the chain level saves significant costs and time in building or procuring a monitoring platform.

Defyranger

DeFiRanger, a core component of Phalcon’s security offering, detects and prevents price manipulation attacks in DeFi applications. It bridges the gap between low-level transaction data and high-level DeFi operations, enabling accurate detection of complex security incidents.

conclusion

The Sequencer Threat Overwatch Program (STOP) represents a significant step forward in the security of L2 solutions. STOP combines the strengths of Manta Network and Phalcon to ensure the integrity, transparency, and performance of blockchain transactions. This initiative sets a new standard for the future development of the blockchain ecosystem, fostering greater trust and adoption among both users and developers.

About Manta Network

Manta Network is a modular blockchain for zero-knowledge (ZK) applications. Manta Pacific, a modular L2 ecosystem, provides a low-cost and efficient environment for ZK-enabled applications. Manta Network has been funded by leading web3 investment funds and has grown through participation in major web3 accelerators.

Image source: Shutterstock



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