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the-ethereum-roadmap-merge-surge-verge
Blog

Rollup Security During Ethereum Congestion

A technical analysis of how high gas fees on Ethereum L1 create systemic risks for optimistic and ZK rollups by delaying fraud proofs, increasing sequencer centralization pressure, and threatening data availability guarantees.

introduction
THE L1-L2 SECURITY MODEL

The Contrarian Truth: High Gas Fees Are a Security Threat

Ethereum congestion directly degrades rollup security by increasing the cost and risk of critical data availability and fraud proof operations.

High L1 gas fees create a direct, quantifiable security tax on optimistic rollups. The cost to post transaction data or submit a fraud proof on Ethereum is the primary operational expense for sequencers and validators. When gas prices spike, the economic security model breaks.

Data availability costs become prohibitive during congestion. Rollups like Arbitrum and Optimism must post compressed transaction batches to Ethereum. If posting a batch costs $500k, the rollup's economic security is only as strong as the sequencer's willingness to lose that capital, creating a centralization pressure point.

Fraud proof submission is priced out of the market. A $200,000 gas fee to challenge an invalid state transition makes decentralized verification economically impossible. This turns the 7-day challenge window into a theoretical safeguard that active attackers can exploit.

Evidence: During the 2021 bull market, posting a single Arbitrum batch cost over 50 ETH. This forced sequencers to delay data posting, increasing the time-to-finality for users and creating a measurable security gap where funds were only protected by a single honest actor's capital.

deep-dive
THE L1-L2 SECURITY CONTRADICTION

Anatomy of a Failure: How Congestion Breaks the Model

Ethereum congestion directly undermines the core security promise of optimistic and ZK rollups.

Sequencer censorship becomes trivial during high gas prices. The economic model for forcing transactions via L1 fails, as the cost to force-include a transaction exceeds its value for most users.

The 7-day challenge window is a liability, not a safety net. Validators cannot afford to post fraud proofs when base layer gas exceeds potential slashing rewards, creating a systemic risk.

Proof submission deadlines become unenforceable. ZK-rollups like zkSync and StarkNet face identical risks; their verifiers cannot post validity proofs if L1 is congested, halting finality.

Evidence: During the 2021 NFT boom, Arbitrum's force-inclusion cost exceeded $50k. This priced out all legitimate challenges, rendering the fraud proof system purely theoretical.

SECURITY BUDGET ANALYSIS

Quantifying the Risk: L1 Gas Price vs. Rollup Security Budget

Compares how different rollup designs manage the trade-off between L1 gas price volatility and the cost of maintaining state finality and censorship resistance.

Security Metric / CostOptimistic Rollup (e.g., Arbitrum, Optimism)ZK-Rollup (e.g., zkSync Era, Starknet)Validium (e.g., Immutable X, dYdX v3)

L1 Data Availability (DA) Cost per Tx

$0.10 - $1.50 (Gas Dependent)

$0.20 - $3.00 (Gas Dependent)

$0.01 - $0.10 (Gas Independent)

L1 Security Budget for Censorship Resistance

~1 week of L1 gas for fraud proof window

~20 min of L1 gas for proof verification

None (Off-chain DA)

State Finality Latency to Ethereum

~7 days (Challenge Period)

~20 minutes (Proof Generation + Verification)

~20 minutes (Proof Generation + Verification)

Max Sustainable TPS During 500 Gwei L1 Gas

~100-300 TPS (Cost-limited by DA)

~50-150 TPS (Cost-limited by DA + Proofs)

~9,000+ TPS (Off-chain DA bottleneck removed)

Primary Security Risk During Congestion

Cost-prohibitive DA halts state updates

Cost-prohibitive DA & proof posting halts updates

Data Availability Committee (DAC) liveness failure

Recovery from L1 Congestion

Automatic once gas prices normalize

Automatic once gas prices normalize

Requires DAC to remain operational and honest

Trust Assumption Beyond Ethereum

None (Pure Ethereum Security)

None (Pure Ethereum Security)

Yes (Trust in DAC or PoS validators)

protocol-spotlight
CONGESTION-RESILIENT ARCHITECTURES

How Leading Rollups Are (or Aren't) Mitigating the Risk

When Ethereum L1 is congested, rollup security and user experience diverge based on their data availability and proving strategies.

01

The Arbitrum & Optimism Playbook: Full Security, Variable Cost

These Optimistic Rollups post all data to Ethereum, guaranteeing full L1 security but inheriting its fee volatility. Their primary mitigation is sequencer-level transaction ordering, which allows them to decouple user experience from L1 gas wars.

  • Key Benefit: Censorship resistance is preserved; users can force transactions via L1 if the sequencer is down or malicious.
  • Key Risk: During extreme congestion, finality delays and cost spikes are directly passed to users, creating a poor UX.
7 Days
Dispute Window
100%
DA on L1
02

The StarkNet & zkSync Era ZK-Rollup Model: Proving Bottlenecks

Validity (ZK) Rollups like StarkNet and zkSync Era also post data to L1 but rely on complex, compute-heavy proofs. Congestion creates a dual-threat: high data costs and proving queue backlogs.

  • Key Benefit: Instant finality for users after a proof is generated, with ~1hr L1 state finalization.
  • Key Risk: Provers are not permissionless; a congested L1 can stall proof submission, delaying fund withdrawals and creating centralization pressure on the prover network.
~1 Hour
Finality Time
High
Prover Load
03

The Emerging Risk: Validiums & Layer 3s with Off-Chain DA

Solutions like StarkEx Validium or Arbitrum Nova use off-chain data availability committees (DACs) or Celestia to slash costs. This is the most aggressive congestion mitigation, but it trades off sovereign security.

  • Key Benefit: ~10-100x lower fees that are completely decoupled from Ethereum gas prices.
  • Key Risk: Users must trust the DAC or alternative DA layer; if it fails, funds can be frozen. This is a fundamental security downgrade from pure rollups.
-90% Cost
vs. Rollup
Trusted
DA Committee
04

The Inevitable Endgame: Decentralized Sequencer Auctions

The long-term fix isn't just better batching—it's removing the centralized sequencer as a single point of failure and rent extraction. Espresso Systems and Astria are building shared sequencer networks that auction block space.

  • Key Benefit: Credible neutrality and MEV redistribution via auctions, preventing a single entity from profiting from L1 congestion.
  • Key Risk: Early designs add latency and complexity; adoption depends on rollup teams ceding short-term revenue for decentralization.
Shared
Sequencer Set
MEV Capture
Redistributed
future-outlook
THE FEE MARKET FALLOUT

Beyond the Surge: The Long-Term Security Landscape

Ethereum's high-fee environment exposes the fundamental security trade-offs of different rollup architectures.

Sequencer centralization risk spikes during congestion. When L1 gas prices surge, rollup sequencers face a direct conflict: absorb the cost and risk insolvency, or delay transaction posting and break service-level agreements. This pressure incentivizes sequencers to consolidate into larger, better-capitalized entities, directly undermining the decentralization guarantees that rollups promise.

Optimistic rollups face a unique attack vector. Their security depends on a fraud proof window where anyone can challenge invalid state transitions. If L1 fees are prohibitively high, honest validators are priced out of submitting fraud proofs, creating a window where a malicious sequencer can finalize fraudulent withdrawals. This transforms an economic security model into a capital-intensive one.

ZK-Rollups are not immune. While their validity proofs offer finality, their data availability (DA) remains a bottleneck. High L1 calldata costs force ZK-rollups like zkSync Era and StarkNet to adopt data compression and eventually off-chain DA solutions. This shifts security assumptions from Ethereum to external data availability committees or alternative layers like Celestia or EigenDA.

Evidence: During the 2021 bull market, Arbitrum and Optimism sequencer costs exceeded $1M daily. This economic pressure is the primary driver behind initiatives like Arbitrum BOLD, which aims to decentralize its sequencer, and the industry-wide push for EIP-4844 (proto-danksharding) to reduce L1 data costs by over 90%.

takeaways
ROLLUP SECURITY DURING CONGESTION

TL;DR for Protocol Architects

Ethereum L1 congestion transforms the security model of optimistic and zk-rollups, creating critical failure modes beyond simple cost spikes.

01

The Challenge Window is a DoS Vector

During L1 congestion, the 7-day challenge window for optimistic rollups becomes a primary attack surface. Malicious actors can cheaply spam the L1 to delay or censor fraud proofs, potentially allowing invalid state roots to finalize. This is a systemic risk for the ~$20B+ TVL secured by Optimism and Arbitrum style rollups.

  • Attack Cost: Spamming L1 during a 1-hour gas spike can cost <$50k to delay a proof.
  • Mitigation: Sequencers must maintain high-priority L1 wallets and implement proof pre-confirmations.
7 Days
Vulnerable Window
<$50k
Attack Cost Est.
02

Sequencer Censorship Breaks Liveness

A rollup's sequencer can become a single point of failure. If the sequencer's L1 transactions are censored during congestion, the entire chain halts—users cannot force inclusions. This violates the liveness guarantee, a core security property. Projects like Arbitrum with centralized sequencers are most exposed, while Espresso Systems and Astria aim to decentralize this role.

  • Failure Mode: Chain halts, not theft.
  • Solution Path: Decentralized sequencer sets or EigenLayer-style shared security.
1
SPOF
0 TPS
During Censorship
03

Data Availability is Non-Negotiable

zk-Rollups like zkSync and Starknet post validity proofs, but still rely on L1 for data availability (DA). If transaction data is censored or delayed on L1, the rollup state cannot be reconstructed, breaking trust assumptions. This makes EIP-4844 (blobs) and alternative DA layers like Celestia or EigenDA critical for congestion-proof security.

  • Core Risk: State cannot be verified without L1 data.
  • Metric: ~100-500 KB of data must be posted per block, regardless of L1 gas price.
100-500 KB
DA per Block
EIP-4844
Critical Fix
04

Escalation to L1 is Prohibitively Expensive

The user's ultimate safety net—forcing a transaction via the L1 bridge—fails during congestion. With base fees exceeding 500 gwei, a single forced inclusion can cost $500+, making mass exits economically impossible. This renders the security model theoretical for ordinary users and highlights the need for fast withdrawal liquidity pools like those used by Hop Protocol and Across.

  • User Impact: Safety net is priced out.
  • Design Imperative: Protocols must integrate native fast withdrawal mechanisms.
>500 gwei
Base Fee Spike
$500+
Exit Cost
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