Cyber Security Datasets Research

2013 ◽  
Vol 659 ◽  
pp. 191-195 ◽  
Author(s):  
Zhi Gang Wang ◽  
Chang Zhen Hu ◽  
Ming Lei Hao ◽  
Fang Lu

Data is the basis for cyber security research. Correct understanding and rapid access to rich and reliable data is a good beginning of our research work. In this paper we present a novel classification method of cyber security data. In addition, we collect and list some datasets, which can better help you to carry out research.

Author(s):  
Svitlana Shevchenko ◽  
Yulia Zhdanovа ◽  
Svitlana Spasiteleva ◽  
Olena Negodenko ◽  
Nataliia Mazur ◽  
...  

The article deals with the application of modern mathematical apparatus in information and cyber security namely fractal analysis. The choice of fractal modeling for the protection of information in the process of its digital processing is grounded. Based on scientific sources, the basic definitions of the research are analyzed: fractal, its dimension and basic properties used in the process of information protection. The basic types of fractals (geometric, algebraic, statistical) are presented and the most famous of them are described. The historical perspective of the development of fractal theory is conducted. Different approaches to the application of fractal theory in information and cyber security have been reviewed. Among them are: the use of fractal analysis in encryption algorithms; development of a method of protecting documents with latent elements based on fractals; modeling the security system of each automated workplace network using a set of properties that can be represented as fractals. The considered approaches to the application of fractal analysis in information and cyber security can be used in the preparation of specialists in the process of research work or diploma work.


Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 100
Author(s):  
Ricardo A. Calix ◽  
Sumendra B. Singh ◽  
Tingyu Chen ◽  
Dingkai Zhang ◽  
Michael Tu

The cyber security toolkit, CyberSecTK, is a simple Python library for preprocessing and feature extraction of cyber-security-related data. As the digital universe expands, more and more data need to be processed using automated approaches. In recent years, cyber security professionals have seen opportunities to use machine learning approaches to help process and analyze their data. The challenge is that cyber security experts do not have necessary trainings to apply machine learning to their problems. The goal of this library is to help bridge this gap. In particular, we propose the development of a toolkit in Python that can process the most common types of cyber security data. This will help cyber experts to implement a basic machine learning pipeline from beginning to end. This proposed research work is our first attempt to achieve this goal. The proposed toolkit is a suite of program modules, data sets, and tutorials supporting research and teaching in cyber security and defense. An example of use cases is presented and discussed. Survey results of students using some of the modules in the library are also presented.


2018 ◽  
Vol 7 (3.19) ◽  
pp. 39 ◽  
Author(s):  
Moses Adah Agana ◽  
Ruth Wario

This research work was designed to utilize multi-level cyber crime detection and control system to provide enhanced real-time evidence to cyber crime investigators to aid them in prosecuting cyber criminals. The design was based on a robust system combining user-identity, device identity, geographical location and user activities to provide evidences to uniquely identify a cyber user and detect crimes committed. The system captures the user’s facial image and biometric finger print as mandatory login parameters in addition to username and password before granting access. The system was tested and implemented in a real time cyber security website www.ganamos.org.  The results showed that it is possible to divulge the identity of cyber users and associate their activities with the devices they use, the date, time and location of operation. These can provide real-time evidences to law enforcement agencies to track down and prosecute cyber criminals. 


Author(s):  
Ananda Kumar K S ◽  
Balakrishna R

At present day’s wireless sensor networks, obtain a lot consideration to researchers. Maximum number of sensor nodes are scattered that can communicate with all others. Reliable data communication and energy consumption are the mainly significant parameters that are required in wireless sensor networks. Many of MAC protocols have been planned to improve the efficiency more by enhancing the throughput and energy consumption. The majority of the presented medium access control protocols to only make available, reliable data delivery or energy efficiency does not offer together at the same time. In this research work the author proposes a novel approach based on Receiver Centric-MAC is implemented using NS2 simulator. Here, the author focuses on the following parametric measures like - energy consumption, reliability and bandwidth. RC-MAC provides high bandwidth without decreasing energy efficiency. The results show that 0.12% of less energy consumption, reliability improved by 20.86% and bandwidth increased by 27.32% of RC-MAC compared with MAC IEEE 802.11.


2019 ◽  
Vol 8 (4) ◽  
pp. 7835-7839

Our paper notices that with a high probability the computer faced with physical attacks can be in a suspended mode. We have more interest in addressing a series of existing and plausible threats to cyber security where the opponent possesses unconventional attack capabilities. Such unconventionality includes, in our exploration t but not restricted to, crowd sourcing, physical coercion, substantial machine resources, malicious insiders, etc. Throughout this paper, we have a tendency to tend to demonstrate but our philosophy is applied to affect several exemplary eventualities of unconventional threats, and elaborate on the model systems data secrets across sleepwake cycles. Most PCs, particularly laptops, remain in rest suspend to RAM, when not in dynamic use. A vital inspect for unattended PCs in rest is that the nearness of client insider facts in framework memory. An aggressor with material approach of a computer in rest will launch side vein memory attacks, by handling liable device drivers; regular mitigations include like bugs etc. A sophisticated assailant can likewise fall back on chilly boot assaults by handling DRAM memory impact. Hypnoguard2 protects in RAM information once a laptop is in sleep simply just in case of assorted memory attacks ecosystem for every desktop and mobile platforms, the appliance of reliable computing still remains rare or exclusively by certain manufacturers. In reality, a way larger issue is that the inspiration of trust is sometimes a combination, this becomes a significant barrier for the tutorial analysis due to lack of access to hardware primitives or public documentation. We believe the high level methodology of these research topics can contribute to advancing the security research under strong adversarial assumptions, and the promotion of software hardware orchestration in protecting execution integrity therein.


2018 ◽  
Vol 6 (2) ◽  
pp. 49-60 ◽  
Author(s):  
Brandon Valeriano ◽  
Ryan C. Maness

Moderate and measured takes on cyber security threats are swamped by the recent flood of research and policy positions in the cyber research field offering hyperbolic perspectives based on limited observations. This skewed perspective suggests constant cyber disasters that are confronting humanity constantly. The general tone of the debate argues that cyber war is already upon us and our future will only witness more cyber doom. However, these hyperbolic perspectives are being countered by empirical investigations that produce the opposite of what is to be expected. It is generally observed that limited cyber engagements throughout the geopolitical system are the dominant form of interaction. Our task here is to offer a different path forward. We first posit what can be known about cyber security interactions with data as well as what cannot. Where is the water’s edge in cyber security research? We then examine the known works in the field that utilize data and evidence to examine cyber security processes. Finally, we conclude with an offering of what types of studies need to be done in the future to move the field forward, away from the prognostication and generalizations so typical in the discourse in this constantly changing and growing field.


Author(s):  
Maurice Hendrix ◽  
Ali Al-Sherbaz ◽  
Victoria Bloom

Security research and training is attracting a lot of investment and interest from governments and the private sector. Most efforts have focused on physical security, while cyber security or digital security has been given less importance. With recent high-profile attacks it has become clear that training in cyber security is needed. Serious Games have the capability to be effective tools for public engagement and behavioural change and role play games, are already used by security professionals. Thus cyber security seems especially well-suited to Serious Games. This paper investigates whether games can be effective cyber security training tools. The study is conducted by means of a structured literature review supplemented with a general web search.While there are early positive indications there is not yet enough evidence to draw any definite conclusions. There is a clear gap in target audience with almost all products and studies targeting the general public and very little attention given to IT professionals and managers. The products and studies also mostly work over a short period, while it is known that short-term interventions are not particularly effective at affecting behavioural change.


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Yee-Yin Choong ◽  
Mary F Theofanos ◽  
Karen Renaud ◽  
Suzanne Prior

Abstract Children use technology from a very young age and often have to authenticate. The goal of this study is to explore children’s practices, perceptions, and knowledge regarding passwords. Given the limited work to date and that the world’s cyber posture and culture will be dependent on today’s youth, it is imperative to conduct cyber-security research with children. We conducted surveys of 189 3rd to 8th graders from two Midwest schools in the USA. We found that children have on average two passwords for school and three to four passwords for home. They kept their passwords private and did not share with others. They created passwords with an average length of 7 (3rd to 5th graders) and 10 (6–8th graders). But, only about 13% of the children created very strong passwords. Generating strong passwords requires mature cognitive and linguistic capabilities which children at this developmental stage have not yet mastered. They believed that passwords provide access control, protect their privacy and keep their “stuff” safe. Overall, children had appropriate mental models of passwords and demonstrated good password practices. Cyber-security education should strive to reinforce these positive practices while continuing to provide and promote age-appropriate developmental security skills. Given the study’s sample size and limited generalizability, we are expanding our research to include children from 3rd to 12th graders across multiple US school districts.


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