scholarly journals A Cipher Based on Prefix Codes

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6236
Author(s):  
Otokar Grošek ◽  
Viliam Hromada ◽  
Peter Horák
Keyword(s):  
Statistical Analysis ◽  
Internet Of Things ◽  
Detailed Analysis ◽  
Brute Force ◽  
Prefix Code ◽  
Fundamental Properties ◽  
Substitution Mapping ◽  
Prefix Codes ◽  
Lack Of Information ◽  
Brute Force Attack

A prefix code, a P-code, is a code where no codeword is a prefix of another codeword. In this paper, a symmetric cipher based on prefix codes is proposed. The simplicity of the design makes this cipher usable for Internet of Things applications. Our goal is to investigate the security of this cipher. A detailed analysis of the fundamental properties of P-codes shows that the keyspace of the cipher is too large to mount a brute-force attack. Specifically, in this regard we will find bounds on the number of minimal P-codes containing a binary word given in advance. Furthermore, the statistical attack is difficult to mount on such cryptosystem due to the attacker’s lack of information about the actual words used in the substitution mapping. The results of a statistical analysis of possible keys are also presented. It turns out that the distribution of the number of minimal P-codes over all binary words of a fixed length is Gaussian.

scholarly journals An Image Encryption Scheme Using 2D Generalized Sawtooth Maps

2014 ◽  
Vol 12 (6) ◽  
pp. 3570-3579
Author(s):  
Ruisong Ye ◽  
Wenping Yu
Keyword(s):  
Statistical Analysis ◽  
Detailed Analysis ◽  
Image Encryption ◽  
Experimental Results ◽  
Encryption Scheme ◽  
Brute Force ◽  
Key Space ◽  
Image Pixels ◽  
Brute Force Attack ◽  
Gray Values

In this paper, a new image encryption scheme based on 2D generalized sawtooth map is proposed. Utilizing the chaoticnature of 2D generalized sawtooth maps, image pixel positions are scrambled and image pixels gray values are changedto encrypt the plain-images. Experimental results have been carried out with detailed analysis to demonstrate that theproposed image encryption scheme possesses large key space to resist brute-force attack and possesses good statisticalproperties to frustrate statistical analysis attacks.

Proposed Back Propagation Deep Neural Network for Intrusion Detection in Internet of Things Fog Computing

2021 ◽  
Vol 9 (4) ◽  
pp. 464-469
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Intrusion Detection ◽  
Fog Computing ◽  
Denial Of Service ◽  
Back Propagation ◽  
Security And Privacy ◽  
Brute Force ◽  
Iot Platform ◽  
Proposed Model

Internet of things (IoT) is an emerging concept which aims to connect billions of devices with each other anytime regardless of their location. Sadly, these IoT devices do not have enough computing resources to process huge amount of data. Therefore, Cloud computing is relied on to provide these resources. However, cloud computing based architecture fails in applications that demand very low and predictable latency, therefore the need for fog computing which is a new paradigm that is regarded as an extension of cloud computing to provide services between end users and the cloud user. Unfortunately, Fog-IoT is confronted with various security and privacy risks and prone to several cyberattacks which is a serious challenge. The purpose of this work is to present security and privacy threats towards Fog-IoT platform and discuss the security and privacy requirements in fog computing. We then proceed to propose an Intrusion Detection System (IDS) model using Standard Deep Neural Network's Back Propagation algorithm (BPDNN) to mitigate intrusions that attack Fog-IoT platform. The experimental Dataset for the proposed model is obtained from the Canadian Institute for Cybersecurity 2017 Dataset. Each instance of the attack in the dataset is separated into separate files, which are DoS (Denial of Service), DDoS (Distributed Denial of Service), Web Attack, Brute Force FTP, Brute Force SSH, Heartbleed, Infiltration and Botnet (Bot Network) Attack. The proposed model is trained using a 3-layer BP-DNN

scholarly journals A New Symmetric Key Cryptographic Algorithm using Paley Graphs and ASCII Values

2021 ◽  
Vol 297 ◽  
pp. 01046
Author(s):  
Zhour Oumazouz ◽  
Driss Karim
Keyword(s):  
Brute Force ◽  
Strong Regularity ◽  
Quadratic Residues ◽  
Cryptographic Algorithm ◽  
Paley Graph ◽  
Encryption And Decryption ◽  
Symmetric Key ◽  
Brute Force Attack ◽  
The Moment ◽  
Paley Graphs

The main objective of the study conducted in this article is to introduce a new algorithm of encryption and decryption of a sensitive message after transforming it into a binary message. Our proposed encryption algorithm is based on the study of a particular graph constructed algebraically from the quadratic residues. We have exploited the Paley graph to introduce an abstract way of encryption of such message bit according to the other message bits by the intermidiate study of the neighborhood of a graph vertex. The strong regularity of the Paley graphs and the unknown behavior of the quadratic residues will play a very important role in the cryptanalysis part which allows to say that the brute force attack remains for the moment the only way to obtain the set of possible messages.

scholarly journals Multifactor Authentication

2014 ◽  
Author(s):  
Ionuţ-Daniel BARBU ◽  
Gabriel PETRICĂ
Keyword(s):  
Information Security ◽  
Internet Of Things ◽  
Brute Force ◽  
Password Authentication ◽  
Multifactor Authentication ◽  
Processing Power ◽  
Defense In Depth

With the advent of Internet of Things, large number of devices became connected to the cloud via various services. From an Information Security perspective, this aspect adds additional tasks to the defense in depth layers. This article tackles the authentication level and its options. This topic has been chosen, as user/password authentication is obsolete and no longer secure. Despite the increased complexity of the passwords, the use of rainbow tables and the large processing power available, the systems are vulnerable to brute force attacks.

Chemical variability of Artemisia herba-alba Asso essential oils from East Morocco

2010 ◽  
Vol 64 (5) ◽  
Author(s):  
Julien Paolini ◽  
El Ouariachi ◽  
Abdelhamid Bouyanzer ◽  
Belkheir Hammouti ◽  
Jean-Marie Desjobert ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Essential Oils ◽  
Detailed Analysis ◽  
Chemical Compositions ◽  
Qualitative And Quantitative ◽  
Chemical Variability ◽  
Regional Specificity ◽  
Total Oil

AbstractChemical compositions of 16 Artemisia herba-alba oil samples harvested in eight East Moroccan locations were investigated by GC and GC/MS. Chemical variability of the A. herba-alba oils is also discussed using statistical analysis. Detailed analysis of the essential oils led to the identification of 52 components amounting to 80.5–98.6 % of the total oil. The investigated chemical compositions showed significant qualitative and quantitative differences. According to their major components (camphor, chrysanthenone, and α- and β-thujone), three main groups of essential oils were found. This study also found regional specificity of the major components.

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