United States of America As Represented by the Secretary of the Air Force

Laurent Njilla

Kevin Anthony Kwiat

Charles Kamhoua

Praveen Rao

Travis Schulze

Yiyu Shi

Qiang Tang

Shouhuai Xu

Songlin He

Eric Ficke

Mir Mehedi Ahsan Pritom

Huashan Chen

Celestin Wafo Soh

Qian Chen

Marcus Pendleton

The present disclosure presents blockchain-based cyber security management systems and related methods. One such method comprises obtaining cyber intelligence input data from a cyber defender computing device, wherein the cyber defender computing device manages network security of a network, wherein the cyber intelligence input data identifies a cyber attacker or a victim of a cyber attack on the network; executing one or more Cyber Security Management (CSM) functions with the cyber intelligence input data received from the cyber defender computing device and cyber data stored in the blockchain ledger, wherein the cyber data stored in the blockchain ledger provides details on a cyber attack on a network that is managed by another cyber defender computing device; and outputting an alert to the cyber defender computing device with a potential cyber attacker or potential victim of the cyber attack on the network managed by the cyber defender computing device.

Method and system for blockchain-based cyber security management

A system and method enabling enterprises to engage in cyber threat information sharing in a privacy-enhanced fashion. The invention reduces the enterprise's risk to sensitive information leakage by inducing a state in the information it shares such that, when an enterprise's shared data attributes are interdependent, the sensitive features (those to be kept private to the enterprise) are not deducible by another enterprise. This state is accomplished by employing rough set theory to undermine the deductive route to the data's sensitive features.

System and method for privacy preservation in cyber threat

A cyberthreat detection method and system includes a distributed file system and a commodity cluster. The commodity cluster has a plurality of servers. A data array of key-value pairs related to social media is received; it stores a plurality of predetermined ground predicates. A ground predicate graph is constructed for each user then partitioned into balanced portions Peach corresponding to a server and the ground predicates stored on that server. In parallel on each server, a plurality of leaned rules are determined for the files stored on that server. From a union of the plurality of learned rules, the system determines a respective weight for each of the learned rules. The plurality of rules are ranked in order of accuracy by the plurality of weights.

Method of cyberthreat detection by learning first-order rules on large-scale social media

The invention comprises a system and article of manufacture to discover potential cyber threats on Twitter. The invention provides a unified framework for modeling and reasoning about the veracity of tweets to discover suspicious users and malicious content. The invention builds on the concept of Markov logic networks (MLNs) for knowledge representation and reasoning under uncertainty.

System and article of manufacture to analyze twitter data to discover suspicious users and malicious content

Apparatus, method and article of manufacture providing a randomized encoding scheme for sequential logics, for resistance to data leakage. Invention employs dual-rail encoding to randomize the information in the chip, and employs three-dimensional integration technology to protect the critical information that is needed to decode the data anywhere on-chip. With the present invention, even when the entire design is completely known to the attacker who also has full access to the outsourced portion, it is still not always possible to identify the information in the chip using data leakage Trojans.

Apparatus, method and article of manufacture for partially resisting hardware trojan induced data leakage in sequential logics

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Rome, NY, United States of America

Laurent Njilla