1,449 research outputs found

    Multinational perspectives on information technology from academia and industry

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    As the term \u27information technology\u27 has many meanings for various stakeholders and continues to evolve, this work presents a comprehensive approach for developing curriculum guidelines for rigorous, high quality, bachelor\u27s degree programs in information technology (IT) to prepare successful graduates for a future global technological society. The aim is to address three research questions in the context of IT concerning (1) the educational frameworks relevant for academics and students of IT, (2) the pathways into IT programs, and (3) graduates\u27 preparation for meeting future technologies. The analysis of current trends comes from survey data of IT faculty members and professional IT industry leaders. With these analyses, the IT Model Curricula of CC2005, IT2008, IT2017, extensive literature review, and the multinational insights of the authors into the status of IT, this paper presents a comprehensive overview and discussion of future directions of global IT education toward 2025

    IOT Forensics Curriculum: Is It a Myth or Reality?

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    In this research paper, two questions are answered. The first question is Should universities invest in the preparation of an IoT forensics curriculum? . The second question is If the IoT forensics curriculum is worth investing in, what are the basic building steps in the development of an loT forensics curriculum? . To answer those questions, the authors conducted a comprehensive literature review spanning academia, the private sector, and non-profit organizations. The authors also performed semi-structured interviews with two experts from academia and the private sector. The results showed that because of the proliferation of IoT technology and the increasing number of attacks against loT devices, developing loT forensics curriculum should be considered by the universities. It is worth mentioning that loT forensics can be one of the main driving factors for securing IoT devices. However, because of the peculiarity and novelty of the domain, and the challenges of IoT forensics, it is difficult to prepare a course-centric curriculum at the very first step. Rather than doing this, universities can collaborate with various stakeholders from the private sector and government agencies to spot and study in real-world cases and let these cases build and evolve an IoT forensics curriculum

    Cyber Security Active Defense: Playing with Fire or Sound Risk Management

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    “Banks Remain the Top Target for Hackers, Report Says,” is the title of an April 2013 American Banker article. Yet, no new comprehensive U.S. cyber legislation has been enacted since 2002, and neither legislative history nor the statutory language of the Computer Fraud and Abuse Act (CFAA) or Electronic Communications Privacy Act (ECPA) make reference to the Internet. Courts have nevertheless filled in the gaps—sometimes with surprising results

    Computational intelligence-enabled cybersecurity for the Internet of Things

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    The computational intelligence (CI) based technologies play key roles in campaigning cybersecurity challenges in complex systems such as the Internet of Things (IoT), cyber-physical-systems (CPS), etc. The current IoT is facing increasingly security issues, such as vulnerabilities of IoT systems, malware detection, data security concerns, personal and public physical safety risk, privacy issues, data storage management following the exponential growth of IoT devices. This work aims at investigating the applicability of computational intelligence techniques in cybersecurity for IoT, including CI-enabled cybersecurity and privacy solutions, cyber defense technologies, intrusion detection techniques, and data security in IoT. This paper also attempts to provide new research directions and trends for the increasingly IoT security issues using computational intelligence technologies

    Forensics Writer Identification using Text Mining and Machine Learning

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    Constant technological growth has resulted in the danger and seriousness of cyber-attacks, which has recently unmistakably developed in various institutions that have complex Information Technology (IT) infrastructure. For instance, for the last three (3) years, the most horrendous instances of cybercrimes were perceived globally with enormous information breaks, fake news spreading, cyberbullying, crypto-jacking, and cloud computing services. To this end, various agencies improvised techniques to curb this vice and bring perpetrators, both real and perceived, to book in relation to such serious cybersecurity issues. Consequently, Forensic Writer Identification was introduced as one of the most effective remedies to the concerned issue through a stylometry application. Indeed, the Forensic Writer Identification is a complex forensic science technology that utilizes Artificial Intelligence (AI) technology to safeguard, recognize proof, extraction, and documentation of the computer or digital explicit proof that can be utilized by the official courtroom, especially, the investigative officers in case of a criminal issue or just for data analytics. This research\u27s fundamental objective was to scrutinize Forensic Writer Identification technology aspects in twitter authorship analytics of various users globally and apply it to reduce the time to find criminals by providing the Police with the most accurate methodology. As well as compare the accuracy of different techniques. The report shall analytically follow a logical literature review that observes the vital text analysis techniques. Additionally, the research applied agile text mining methodology to extract and analyze various Twitter users\u27 texts. In essence, digital exploration for appropriate academics and scholarly artifacts was affected in various online and offline databases to expedite this research. Forensic Writer Identification for text extraction, analytics have recently appreciated reestablished attention, with extremely encouraging outcomes. In fact, this research presents an overall foundation and reason for text and author identification techniques. Scope of current techniques and applications are given, additionally tending to the issue of execution assessment. Results on various strategies are summed up, and a more inside and out illustration of two consolidated methodologies are introduced. By encompassing textural, algorithms, and allographic, emerging technologies are beginning to show valuable execution levels. Nevertheless, user acknowledgment would play a vital role with regards to the future of technology. To this end, the goal of coming up with a project proposal was to come up with an analytical system that would automate the process of authorship identification methodology in various Web 2.0 Technologies aspects globally, hence addressing the contemporary cybercrime issues

    Dataset of Shell Commands Used by Participants of Hands-on Cybersecurity Training

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    We present a dataset of 13446 shell commands from 175 participants who attended cybersecurity training and solved assignments in the Linux terminal. Each acquired data record contains a command with its arguments and metadata, such as a timestamp, working directory, and host identification in the emulated training infrastructure. The commands were captured in Bash, ZSH, and Metasploit shells. The data are stored as JSON records, enabling vast possibilities for their further use in research and development. These include educational data mining, learning analytics, student modeling, and evaluating machine learning models for intrusion detection. The data were collected from 27 cybersecurity training sessions using an open-source logging toolset and two open-source interactive learning environments. Researchers and developers may use the dataset or deploy the learning environments with the logging toolset to generate their own data in the same format. Moreover, we provide a set of common analytical queries to facilitate the exploratory analysis of the dataset

    Developing our capability in cyber security: academic centres of excellence in cyber security research

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