Flaws in the Field of Digital Security in the Workplace: Case of Companies in Burkina Faso

Digital in the daily life of companies undeniably leads them to use services and applications of all kinds. Companies in their permanent quest for the exchange of information devote themselves to the use of the Internet which nowadays constitutes an open door for the birth of several types of faults, some of which are unknown to certain digital professionals in the field. Corporate. The purpose of this research is to show the probable existence of digital security flaws in the daily activities carried out by companies in Burkina Faso. In companies in Burkina Faso, we seem to see a way of working that does not respect the standards and safety standards prescribed by ISO 27001. We seem to see a way of working based on the result of the gain and not on the securities measures and integrity of critical data, data confidentiality, management and prevention of possible security risks related to their activities. We seem to be witnessing in companies the immanent presence of faults which could be the work of the users of the system, of the infrastructure used which is outdated or badly configured, of software anomalies linked to programming errors, and to poor implementation of the security policy within the companies. This research is important because it exposes the handicaps that companies have in terms of digital security. The expected result is to bring out existing flaws that are not taken seriously by IT staff and propose possible solutions to overcome these security risks.

Sensitive Information Security Based on Elliptic Curves

The elliptic curve cryptography algorithm represents a major advancement in the field of computer security. This innovative algorithm uses elliptic curves to encrypt and secure data, providing an exceptional level of security while optimizing the efficiency of computer resources. This study focuses on how elliptic curves cryptography helps to protect sensitive data. Text is encrypted using the elliptic curve technique because it provides great security with a smaller key on devices with limited resources, such as mobile phones. The elliptic curves cryptography of this study is better than using a 256-bit RSA key. To achieve equivalent protection by using the elliptic curves cryptography, several Python libraries such as cryptography, pycryptodome, pyQt5, secp256k1, etc. were used. These technologies are used to develop a software based on elliptic curves. If built, the software helps to encrypt and decrypt data such as a text messages and it offers the authentication for the communication.

Spoofing Face Detection Using Novel Edge-Net Autoencoder for Security

Recent security applications in mobile technologies and computer sys-tems use face recognition for high-end security.Despite numerous security tech-niques,face recognition is considered a high-security control.Developers fuse and carry out face identification as an access authority into these applications.Still,face identification authentication is sensitive to attacks with a 2-D photo image or captured video to access the system as an authorized user.In the existing spoofing detection algorithm,there was some loss in the recreation of images.This research proposes an unobtrusive technique to detect face spoofing attacks that apply a single frame of the sequenced set of frames to overcome the above-said problems.This research offers a novel Edge-Net autoencoder to select convoluted and dominant features of the input diffused structure.First,this pro-posed method is tested with the Cross-ethnicity Face Anti-spoofing(CASIA),Fetal alcohol spectrum disorders(FASD)dataset.This database has three models of attacks:distorted photographs in printed form,photographs with removed eyes portion,and video attacks.The images are taken with three different quality cameras:low,average,and high-quality real and spoofed images.An extensive experimental study was performed with CASIA-FASD,3 Diagnostic Machine Aid-Digital(DMAD)dataset that proved higher results when compared to existing algorithms.

Digital Content and Its Security

The digital content industry is becoming a new impetus for the development of the information industry as the infrastructure construction,including the optical fiber backbone transmission network and the wireless mobile access network,are being completed.Industrial analysis and technical research of the digital content become more and more important in this situation.Digital content security technology is one of the three supporting technologies in the digital content industry.The key points to guarantee digital content security include the solutions for the following problems:sale of pirated digital content,damage and pollution of illegal and harmful content to the social environment,and the means for consumers’ security and reasonable payment.These issues involve a lot of challenging scientific and technical problems such as highly efficient multimedia encryption and hiding algorithms,multimedia content recognition and filtering algorithms on network,and heterogeneous network oriented micropayment protocols.

A Digital Evidence Fusion Method in Network Forensics Systems with Dempster-Shafer Theory

Network intrusion forensics is an important extension to present security infrastructure,and is becoming the focus of forensics research field.However,comparison with sophisticated multi-stage attacks and volume of sensor data,current practices in network forensic analysis are to manually examine,an error prone,labor-intensive and time consuming process.To solve these problems,in this paper we propose a digital evidence fusion method for network forensics with Dempster-Shafer theory that can detect efficiently computer crime in networked environments,and fuse digital evidence from different sources such as hosts and sub-networks automatically.In the end,we evaluate the method on well-known KDD Cup1999 dataset.The results prove our method is very effective for real-time network forensics,and can provide comprehensible messages for a forensic investigators.

A Transductive Scheme Based Inference Techniques for Network Forensic Analysis

Network forensics is a security infrastructure,and becomes the research focus of forensic investigation.However many challenges still exist in conducting network forensics:network has produced large amounts of data;the comprehensibility of evidence extracting from collected data;the efficiency of evidence analysis methods,etc.To solve these problems,in this paper we develop a network intrusion forensics system based on transductive scheme that can detect and analyze efficiently computer crime in networked environments,and extract digital evidence automatically.At the end of the paper,we evaluate our method on a series of experiments on KDD Cup 1999 dataset.The results demonstrate that our methods are actually effective for real-time network forensics,and can provide comprehensible aid for a forensic expert.

The Formal Specifications for Protocols of Decoders

This paper presents a formal approach, FSPD (Formal Specifications for Protocols of Decoders), to specify decoder communication protocols. Based on axiomatic, FSPD is a precise language with which programmers could use only one suitable driver to handle various types of decoders. FSPD is helpful for programmers to get high adaptability and reusability of decoder-driver software. Key words formalization - digital video security system - protocol of decoders CLC number TP 311 Biography: YUAN Meng-ting(1976-), Ph.D candidate, research direction: software engineering, formal method.

Data Secure Transmission Model Based on Compressed Sensing and Digital Watermarking Technology

Since the Internet of Things（IoT） secret information is easy to leak in data transfer,a data secure transmission model based on compressed sensing（CS） and digital watermarking technology is proposed here. Firstly, for node coding end, the digital watermarking technology is used to embed secret information in the conventional data carrier. Secondly, these data are reused to build the target transfer data by the CS algorithm which are called observed signals. Thirdly, these signals are transmitted to the base station through the wireless channel. After obtaining these observed signals, the decoder reconstructs the data carrier containing privacy information. Finally, the privacy information is obtained by digital watermark extraction algorithm to achieve the secret transmission of signals. By adopting the watermarking and compression sensing to hide secret information in the end of node code, the algorithm complexity and energy consumption are reduced. Meanwhile, the security of secret information is increased.The simulation results show that the method is able to accurately reconstruct the original signal and the energy consumption of the sensor node is also reduced significantly in consideration of the packet loss.