Fault Attacks on Cipher Block Chaining-Message Authentication Code and Its Variants Based on AES-128 Suitable for Wireless Sensor Networks

The focus of this research is to analyze the results of encrypting audio using various authenticated encryption algorithms implemented in the Python cryptography library for ensuring authenticity and confidentiality of the original contents. The Advanced Encryption Standard (AES) is used as the underlying cryptographic primitive in conjunction with various modes including Galois Counter Mode (GCM), Counter with Cipher Block Chaining Message Authentication Code (CCM), and Cipher Block Chaining (CBC) with Keyed-Hashing for encrypting a relatively small audio file. The resulting encrypted audio shows similarity in the variance when encrypting using AES-GCM and AES-CCM. There is a noticeable reduction in variance of the performed encodings and an increase in the amount of time it takes to encrypt and decrypt the same audio file using AES-CBC with Keyed-Hashing. In addition, the corresponding encrypted using this mode audio spans a longer duration. As a result, AES should either have GCM or CCM for an efficient and reliable authenticated encryption integration within a workflow.

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Detecting and Preventing Sybil Attacks in Wireless Sensor Networks Using Message Authentication and Passing Method

The Scientific World JOURNAL ◽

10.1155/2015/841267 ◽

2015 ◽

Vol 2015 ◽

pp. 1-7 ◽

Cited By ~ 13

Author(s):

Udaya Suriya Raj Kumar Dhamodharan ◽

Rajamani Vayanaperumal

Keyword(s):

Wireless Sensor Networks ◽

Wireless Sensor Network ◽

Sensor Networks ◽

Sensor Network ◽

Wireless Sensor ◽

Message Authentication ◽

Sybil Attack ◽

Verification Method ◽

Wormhole Attack ◽

Network Protection

Wireless sensor networks are highly indispensable for securing network protection. Highly critical attacks of various kinds have been documented in wireless sensor network till now by many researchers. The Sybil attack is a massive destructive attack against the sensor network where numerous genuine identities with forged identities are used for getting an illegal entry into a network. Discerning the Sybil attack, sinkhole, and wormhole attack while multicasting is a tremendous job in wireless sensor network. Basically a Sybil attack means a node which pretends its identity to other nodes. Communication to an illegal node results in data loss and becomes dangerous in the network. The existing method Random Password Comparison has only a scheme which just verifies the node identities by analyzing the neighbors. A survey was done on a Sybil attack with the objective of resolving this problem. The survey has proposed a combined CAM-PVM (compare and match-position verification method) with MAP (message authentication and passing) for detecting, eliminating, and eventually preventing the entry of Sybil nodes in the network. We propose a scheme of assuring security for wireless sensor network, to deal with attacks of these kinds in unicasting and multicasting.

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