About: Length extension attack is a research topic. Over the lifetime, 196 publications have been published within this topic receiving 5899 citations.
TL;DR: The authors concentrate on authentication for real-time, interactive services that are offered on computer networks, which includes remote login, file system reads and writes, and information retrieval for applications like Mosaic.
Abstract: When using authentication based on cryptography, an attacker listening to the network gains no information that would enable it to falsely claim another's identity. Kerberos is the most commonly used example of this type of authentication technology. The authors concentrate on authentication for real-time, interactive services that are offered on computer networks. They use the term real-time loosely to mean that a client process is waiting for a response to a query or command so that it can display the results to the user, or otherwise continue performing its intended function. This class of services includes remote login, file system reads and writes, and information retrieval for applications like Mosaic. >
TL;DR: In this paper, a dynamic network security system (20) responds to a security attack (92) on a computer network (22) having a multiplicity of computer nodes (24), including a plurality of security agents (36) that concurrently detect occurrences of security events (50) on associated computer nodes.
Abstract: A dynamic network security system (20) responds to a security attack (92) on a computer network (22) having a multiplicity of computer nodes (24). The security system (20) includes a plurality of security agents (36) that concurrently detect occurrences of security events (50) on associated computer nodes (24). A processor (40) processes the security events (50) that are received from the security agents (36) to form an attack signature (94) of the attack (92). A network status display (42) displays multi-dimensional attack status information representing the attack (92) in a two dimensional image to indicate the overall nature and severity of the attack (92). The network status display (42) also includes a list of recommended actions (112) for mitigating the attack. The security system (20) is adapted to respond to a subsequent attack that has a subsequent signature most closely resembling the attack signature (94).
TL;DR: This standard describes a keyed-hash message authentication code (HMAC), a mechanism for message authentication using cryptographic hash functions, which can be used with any iterative FIPS-approved cryptographic hash function, in combination with a shared secret key.
Abstract: This standard describes a keyed-hash message authentication code (HMAC), a mechanism for message authentication using cryptographic hash functions. HMAC can be used with any iterative FIPS-approved cryptographic hash function, in combination with a shared secret key. The cryptographic strength of HMAC depends on the properties of the underlying hash function. The HMAC specification in this standard is a generalization of Internet RFC 2104, HMAC, Keyed-Hashing for Message Authentication, and ANSI X9.71, Keyed Hash Message Authentication Code.
TL;DR: The proposed authentication scheme considers the smart meters with computation-constrained resources and puts the minimum computation overhead on them and employs the Merkle hash tree technique to secure smart gird communication.
Abstract: Smart grid has emerged as the next generation of power grid, due to its reliability, flexibility, and efficiency. However, smart grid faces some critical security challenges such as the message injection attack and the replay attack. If these challenges cannot be properly addressed, an adversary can maliciously launch the injected or replayed message attacks to degrade the performance of smart grid. To cope with these challenging issues, in this paper, we propose an efficient authentication scheme that employs the Merkle hash tree technique to secure smart gird communication. Specifically, the proposed authentication scheme considers the smart meters with computation-constrained resources and puts the minimum computation overhead on them. Detailed security analysis indicates its security strength, namely, resilience to the replay attack, the message injection attack, the message analysis attack, and the message modification attack. In addition, extensive performance evaluation demonstrates its efficiency in terms of computation complexity and communication overhead.