Intel Corporation

International Business Machines Corporation

Mcafee, Inc.

Tahoe Research, Ltd.

Schoinas, Ioannis T.

Manoj R Sastry

Marcio Rogerio Juliato

Santosh Ghosh

Shabbir Ahmed

Christopher N Gutierrez

Vuk Lesi

Rafael Misoczki

Liuyang L Yang

Xiruo Liu

Qian Wang

Li Zhao

Vikram B Suresh

Sanu K Mathew

Raghavan Kumar

Dave A Cavalcanti

Javier Perez-Ramirez

Ioannis T Schoinas

Men Long

Jesse R Walker

Alpa T Narendra Trivedi

Steffen Schulz

David M Durham

Kathiravetpillai Sivanesan

Sudhir K Satpathy

Farid Adrangi

Prakash N Iyer

Leonardo Gomes Baltar

Alpa Narendra Trivedi

Aviad Kipnis

Shao-Cheng Wang

Rosario Cammarota

Ting Lu

Ralf Graefe

Ned M Smith

Ravi L Sahita

Rajesh Poornachandran

Vedvyas Shanbhogue

Rath Vannithamby

Markus Dominik Mueck

John Charles Weast

Michael Lemay

Anand S Konanur

Sven Schrecker

Vallabhajosyula S Somayazulu

Howard C Herbert

Andrew H Reinders

Moreno Ambrosin

Mikhail T Galeev

Daniel Martin Cermak

Lee G Rosenbaum

Brad Davis

Richard A Lary

Thomas E Malone

Christoph Dobraunig

Patrick D Mason

Henry J DiVincenzo

Wen-Ling Huang

Eduardo Alban

David Wheeler

Avinash Laxmisha Varna

Saiveena Kesaraju

Patrick W White

Christopher Hall

Kyong-Tak Cho

Michael Kara-Ivanov

Deepak Jagannathan Manohar

Ivan Simoes Gaspar

Michael J Covington

Burzin A Daruwala

Jordan Loney

Andrea Basso

Mohammed Karmoose

Abhishek Basak

Kevin B Stanton

Yonghong Huang

Michael Neve De Mevergnies

Rafael Rosales

Maria Soledad Elli

Arnab Raha

Susruth Sudhakaran

William J Lewis

Robert J Toepfer

Jianqing Zhang

Joseph Friel

Huaxin Li

Dumitru-Daniel Dinu

David M Wheeler

Pat White

Ahmed Shabbir

Noor Abani

Liuyang Lily Yang

Jack Charles Weast

Christopher Noe Gutierrez

Varna Avinash

Michael N De Mevergnies

Systems and techniques for misbehavior processing in connected vehicle networks such as a vehicle-to-everything (V2X) communication environment are described herein. A misbehavior report may be received by a local misbehavior agent from a node operating on a vehicle communication network. The local misbehavior agent may be responsible for a geographic area in which the node is located. The misbehavior report may be corroborated using the misbehavior report and evidence of misbehavior of a subject node of the misbehavior report. A revocation recommendation may be generated for the subject node based on the corroboration. The revocation recommendation may be transmitted to a misbehavior authority operating on the vehicle communication network.

Misbehavior processing in connected vehicle networks

An apparatus for clock manager redundancy comprises a clock circuitry to manage a clock for a device; a first processing circuitry coupled to the clock circuitry to execute instructions to perform operations for a clock manager, the clock manager to receive messages with time information for a network and generate clock manager control information to adjust the clock to a network time for the network; a hardened execution environment coupled to the clock circuitry and the first processing circuitry, the hardened execution environment to comprise: a detector to monitor the clock manager and generate an alert when the detector identifies abnormal behavior of the clock manager; and a second processing circuitry to execute instructions to perform operations for a redundant clock manager, the redundant clock manager to take over operations for the clock manager in response to the alert from the detector. Other embodiments are described and claimed.

Clock manager redundancy for time synchronized networks

Techniques include receiving a message with time information from a clock leader by a clock follower in a time-synchronized network (TSN), the time information to synchronize a clock to a network time for the TSN, retrieving an actual time offset value for the message, the actual time offset value to comprise a value between an actual sending time and an actual receiving time of the message, retrieving an estimated time offset value for the message, the estimated time offset value to comprise a value between an estimated sending time and an estimated receiving time of the message, the estimated time offset value generated using a physics-aware model of the TSN and a clock adjustment value for the clock based on the time information, and determining whether the time information for the message was modified to cause the clock to desynchronize based on difference information. Other embodiments are described and claimed.

Physics-aware detector for protocol spoofing attacks in time synchronized networking

Techniques to perform time recovery from attacks on delayed authentication in a time synchronized network are described. One embodiment comprises a method for decoding time information and a message authentication code (MAC) from a time message, the time information to synchronize a local clock for a device to a network time of a time synchronized network (TSN), and the MAC to authenticate the time message, determining whether the time message is authentic using the MAC, discarding the time information when the time message is not authentic, performing a bounded search to identify authentic time information using the MAC, and passing the authentic time information to a clock manager to synchronize the local clock to the network time of the TSN when the authentic time information is identified. Other embodiments are described and claimed.

Time recovery from attacks on delayed authentication

A computing node to implement a management entity in a CP-based network. The node including processing circuitry configured to encode an inquiry message requesting information on CPS capabilities. Response messages are received from a set of sensing nodes of a plurality of sensing nodes in response to the inquiry message. The response messages include the information on the CPS capabilities of the set of sensing nodes. A notification message indicating selecting of a sensing node as a sensing coordinator is encoded for transmission. Sensed data received in a broadcast message from the sensing coordinator is decoded. The sensed data including data associated with one or more non-V2X capable sensing nodes.

Occupancy grid map computation, V2X complementary sensing, and coordination of cooperative perception data transmission in wireless networks

In one example an apparatus comprises receive, in a processing platform, an input request from a remote device comprising a digital signature signing or verify function and determine a selected digital signature scheme for the request based at least in part on a determination of whether the processing platform is to apply a signing function or a verify function to the input request. Other examples may be described.

Hybridization of dilithium and falcon for digital signatures

Systems, apparatuses and methods may provide for technology that detects one or more non-compliant nodes with respect to a timing schedule, detects one or more compliant nodes with respect to the timing schedule, and identifies a malicious node based on positions of the one or more non-compliant nodes and the one or more compliant nodes in a network topography. The non-compliant node(s) and the compliant node(s) may be detected based on post-synchronization messages, historical attribute data and/or plane diversity data.

Attacker localization based on tracking anomaly propagation in time-sensitive networking

Techniques for clock manager monitoring for time sensitive networks are described. An apparatus, comprises a clock circuitry to manage a clock for a device, a processing circuitry coupled to the clock circuitry, the processing circuitry to execute instructions to perform operations for a clock manager, the clock manager to receive messages with time information for a network and generate clock manager control information to adjust the clock to a network time for the network, and a detector coupled to the processing circuitry and the clock circuitry, the detector to receive the clock manager control information, generate model control information based on a clock model, compare the clock manager control information with the model control information to generate difference information, and determine whether to generate an alert based on the difference information. Other embodiments are described and claimed.

Clock manager monitoring for time synchronized networks

Techniques include a method, apparatus, system and computer-readable medium to detect, quantify and localize attacks to enhance security for time-synchronized networking. Embodiments include a diagnostic stream producer to produce diagnostic information providing evidence of a timing attack on a node of a time-synchronized network. Embodiments include a diagnostic stream consumer to consume diagnostic information, analyze the diagnostic information, and determine whether a node is under a timing attack. Other embodiments are described and claimed.

Techniques to detect attacks for time synchronization networking

Cross-network time-alignment characterization for scheduled traffic

Systems, apparatuses, and methods to attest to and verify the integrity of cargo during transport by an autonomous vehicle are provided. An autonomous vehicle can discretize parameters associated with transportation of cargo and can generate a keyed hash digest from the discretized parameters. The keyed hash digest can be sent to a stakeholder in the transportation of the cargo to attest to the integrity of the cargo during transport.

Continuous integrity monitoring for autonomous transportation services

A method comprises fetching, by fetch circuitry, an encoded XOR3PP instruction comprising at least one opcode, a first source identifier to identify a first register, a second source identifier to identify a second register, a third source identifier to identifier a third register, and a fourth source identifier to identify a fourth operand, wherein the first register is to store a first value, the second register is to store a second value, and the third register is to store a third value, decoding, by decode circuitry, the encoded XOR3PP instruction to generate a decoded XOR3PP instruction; and executing, by execution circuitry, the decoded XOR3PP instruction to determine a first rotational value and a second rotational value, perform a rotate operation on at least a portion of the first value based on the first rotational value to generate a rotated third value, perform an XOR operation on at least a portion of the first value, at least a portion of the second value, and the rotated third value to generate an XOR result, perform a rotate operation on the XOR result based on the second rotational value to generate a rotated XOR; and store the rotated XOR result.

Accelerating eight-way parallel Keccak execution

Systems, apparatuses, and methods to identify bus-off and masquerade attacks against electronic control units (ECUs) transmitting on a communication bus from behind a gateway coupled to the communication bus are described. The disclosure further describes systems, apparatuses, and methods to mitigate against bus-off attacks made against an ECU coupled to a communication bus through a gateway. Other embodiments are described and claimed.

Post-gateway bus-off attack mitigation

Systems, apparatuses, and methods to establish ground truth for an intrusion detection system in the presence of an attacker electronic control unit transmitting masqueraded messages on a communication bus, such as an in-vehicle network bus, are provided.

Re-training intrusion detection fingerprints in the presence of an attacker

Systems and techniques for malicious request detection in automated resource dispatch are described herein. A request for a resource may be received from a user device. A location may be obtained for delivery of the resource. Sensor data may be retrieved for the location. The sensor data and user profile data may be evaluated to determine if the request is malicious. A disincentivizing message may be generated based on the determination that the request is malicious. In response to receipt of a response to the disincentivizing message, a resource may be dispatched to the location.

Malicious request detection in automated resource dispatch

Growing community of inventors

Portland, OR, United States of America

Manoj R Sastry