Reinforcing the Security of Instant Messaging Systems Using an Enhanced Honey Encryption Scheme: The Case of WhatsApp

Omolara, Abiodun Esther; Jantan, Aman; Abiodun, Oludare Isaac; Arshad, Humaira

doi:10.1007/s11277-020-07163-y

Cited by 17 publications

(8 citation statements)

References 27 publications

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“…The CDM reads each word in the sentence and disambiguates the underlying context by understanding its structural constituents in terms of meaning and transforms it as a syntactically and contextually realistic sentence by preserving the ontology with respect to the part of speech (POS) each word in the original document belong to. This approach takes its perspectives from the conceptual designs in the work of [10], where messages are translated to semantically equivalent messages.…”

Section: (A) Construction Of the Cdmmentioning

confidence: 99%

“…Cyber-attacks are often thwarted through the use of security measures like encryption [9][10][11][12], access control [13], and others. One of the emerging methods for combating document exfiltration during cyberattacks makes use of deception-based mechanisms, which focus on exploiting adversaries' biases and altering their perception by supplying them with bogus or fake data to waste their time and resources.…”

Section: Introductionmentioning

confidence: 99%

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A Cognitive Deception Model for Generating Fake Documents to Curb Data Exfiltration in Networks During Cyber-Attacks

et al. 2022

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Section: (A) Construction Of the Cdmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Cognitive Deception Model for Generating Fake Documents to Curb Data Exfiltration in Networks During Cyber-Attacks

et al. 2022

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“…Subsequently, the VGG16 network [35] explores the relationship between the depth and performance of convolutional neural networks, which has strong extensibility; the Inception network [36] differs from the previous two networks in that it adds a structure called Inception, the main advantage of which is the reduction of training parameters; the ResNet network [37] introduces residual network structure, and it can realize that the accuracy does not decrease with the network deepening. These classic neural networks and other network structure models continue to emerge, resulting in the application of neural networks in various fields, such as natural language processing [38] and information decryption [39,40], which bring great convenience to human life.…”

Section: Plos Onementioning

confidence: 99%

Study on the evolution of Chinese characters based on few-shot learning: From oracle bone inscriptions to regular script

et al. 2022

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Oracle bone inscriptions (OBIs) are ancient Chinese scripts originated in the Shang Dynasty of China, and now less than half of the existing OBIs are well deciphered. To date, interpreting OBIs mainly relies on professional historians using the rules of OBIs evolution, and the remaining part of the oracle’s deciphering work is stuck in a bottleneck period. Here, we systematically analyze the evolution process of oracle characters by using the Siamese network in Few-shot learning (FSL). We first establish a dataset containing Chinese characters which have finished a relatively complete evolution, including images in five periods: oracle bone inscriptions, bronze inscriptions, seal inscriptions, official script, and regular script. Then, we compare the performance of three typical algorithms, VGG16, ResNet, and AlexNet respectively, as the backbone feature extraction network of the Siamese network. The results show that the highest F1 value of 83.3% and the highest recognition accuracy of 82.67% are obtained by the combination of VGG16 and Siamese network. Based on the analysis, the typical structural performance of each period is evaluated and we identified that the optimized Siamese network is feasible to study the evolution of the OBIs. Our findings provide a new approach for oracle’s deciphering further.

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“…It is easy for the attacker to determine the key is wrong. If the HE technology is used, the attacker will obtain seemingly reasonable plaintext in order to deceive the attacker [27]. erefore, the attacker will fall into the dead cycle of trying the key to obtain the fake message constantly, so that the plaintext cannot be recovered.…”

Section: Scheme Designmentioning

confidence: 99%

A Blockchain-Based Microgrid Data Disaster Backup Scheme in Edge Computing

Zhang

Cao

Zhang

et al. 2021

Security and Communication Networks

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In view of the problems of low security, poor reliability, inability to backup automatically, and overreliance on the third party in traditional microgrid data disaster backup schemes based on cloud backup, the edge computing is used to preprocess power big data, and a microgrid data disaster backup scheme based on blockchain in edge computing environment is proposed in this paper. First, the honey encryption (HE) technology and advanced encryption standard (AES) are combined to propose a new encryption algorithm HE-AES, which is used to encrypt the preprocessed data. Second, the Kademlia algorithm is embedded in the edge server to realize the distributed storage and automatic recovery of microgrid data. Finally, the traditional proof of authority (PoA) consensus mechanism is improved partially, and the improved PoA is used to make each node reach consensus and pack blocks on the chain. The scheme can not only realize the data disaster backup automatically but also has high efficiency of data processing, which can provide a new idea for improving the current data disaster backup schemes.

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Reinforcing the Security of Instant Messaging Systems Using an Enhanced Honey Encryption Scheme: The Case of WhatsApp

Cited by 17 publications

References 27 publications

A Cognitive Deception Model for Generating Fake Documents to Curb Data Exfiltration in Networks During Cyber-Attacks

A Cognitive Deception Model for Generating Fake Documents to Curb Data Exfiltration in Networks During Cyber-Attacks

Study on the evolution of Chinese characters based on few-shot learning: From oracle bone inscriptions to regular script

A Blockchain-Based Microgrid Data Disaster Backup Scheme in Edge Computing

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