Post by Glavos on Jan 21, 2016 13:19:11 GMT
Hello Everyone,
We have been asked “How Does the System Flag Fraudulent Activity?” and this update will provide you with the details.
A secure and fair mechanism is required before Airdrops start. We are much closer to this goal now.
First, users can only communicate within the GetGems network through the suite of official mobile apps for the leading mobile platforms - iOS and Android.
Second, usage is restricted to manual human operation only. Users must create an official GetGems account in order to participate in the network. GetGems accounts are locked to a specific phone number.
The system uses a constant set of offline algorithms to identify fraudulent activity and create a trust indication score for every account. This score indicates the level of assurance or trust the system has that an account holder is a genuine, valid human user. The following elements contribute to a user’s trust indication score:
1. The account age. Accounts initially start with a low trust score, which increases slowly over time without fraudulent activity.
2. User phone number. Accounts must provide this real-world identification.
3. The number of Gems available in the account. Accounts without Gems initially start with a lower trust score.
4. Mobile device authenticity fingerprint. Since accounts are tied to a specific physical mobile device, every communication from this device is anonymously fingerprinted. Suspicious fingerprint patterns flag incidents of sharing, such as multiple accounts linked to one device.
5. Usage frequency patterns. Since accounts are limited to manual operation only, suspicious-action frequency patterns (such as mass use in a short amount of time, lack of interaction with incoming content) are flagged.
6. Response to push messages. The system sends periodic push messages to connected mobile devices to verify network connectivity status.
7. Communication network and friends. Interactions with high-trust accounts builds more trust than interactions with low trust accounts.
8. Relationship connections. The trust score is affected by the number of users invited, combined with the identity of the original inviter.
9. Reputation within the community. Being flagged as spam, or being blocked by other users will result in a lower trust score.
A trust score threshold provides permissions for transaction activity. Accounts with low trust scores are silently ignored in airdrop activity calculations until the trust score increases.
Accounts must stay in good standing to receive Airdrops and perform transactions.
We have been asked “How Does the System Flag Fraudulent Activity?” and this update will provide you with the details.
A secure and fair mechanism is required before Airdrops start. We are much closer to this goal now.
First, users can only communicate within the GetGems network through the suite of official mobile apps for the leading mobile platforms - iOS and Android.
Second, usage is restricted to manual human operation only. Users must create an official GetGems account in order to participate in the network. GetGems accounts are locked to a specific phone number.
The system uses a constant set of offline algorithms to identify fraudulent activity and create a trust indication score for every account. This score indicates the level of assurance or trust the system has that an account holder is a genuine, valid human user. The following elements contribute to a user’s trust indication score:
1. The account age. Accounts initially start with a low trust score, which increases slowly over time without fraudulent activity.
2. User phone number. Accounts must provide this real-world identification.
3. The number of Gems available in the account. Accounts without Gems initially start with a lower trust score.
4. Mobile device authenticity fingerprint. Since accounts are tied to a specific physical mobile device, every communication from this device is anonymously fingerprinted. Suspicious fingerprint patterns flag incidents of sharing, such as multiple accounts linked to one device.
5. Usage frequency patterns. Since accounts are limited to manual operation only, suspicious-action frequency patterns (such as mass use in a short amount of time, lack of interaction with incoming content) are flagged.
6. Response to push messages. The system sends periodic push messages to connected mobile devices to verify network connectivity status.
7. Communication network and friends. Interactions with high-trust accounts builds more trust than interactions with low trust accounts.
8. Relationship connections. The trust score is affected by the number of users invited, combined with the identity of the original inviter.
9. Reputation within the community. Being flagged as spam, or being blocked by other users will result in a lower trust score.
A trust score threshold provides permissions for transaction activity. Accounts with low trust scores are silently ignored in airdrop activity calculations until the trust score increases.
Accounts must stay in good standing to receive Airdrops and perform transactions.
