Cyber security has never been more essential than it is today, it’s not a case of if an attack will happen, but when. This brand new edition covers the various types of cyber threats and explains ...what you can do to mitigate these risks and keep your data secure.
With cyber threats on the rise, IT professionals are now choosing cybersecurity as the next step to boost their career, and holding the relevant certification can prove to be a game-changer in this ...competitive market. CISM is one of the top-paying and most sought-after certifications by employers. This guide comprises comprehensive self-study exam content for those who want to achieve CISM certification on the first attempt.
Providing a much-needed study on cybersecurity regime building, this comprehensive book is a detailed analysis of cybersecurity norm-making processes and country positions, through the lens of ...multi-stakeholder diplomacy. Multidisciplinary and multinational scholars and practitioners use insights drawn from high-level discussion groups to provide a rigorous analysis of how major cyber powers view multi-stakeholder diplomacy.
As threats to the security of information pervade the fabric of everyday life, A Vulnerable System describes how, even as the demand for information security increases, the needs of society are not ...being met. The result is that the confidentiality of our personal data, the integrity of our elections, and the stability of foreign relations between countries are increasingly at risk. Andrew J. Stewart convincingly shows that emergency software patches and new security products cannot provide the solution to threats such as computer hacking, viruses, software vulnerabilities, and electronic spying. Profound underlying structural problems must first be understood, confronted, and then addressed. A Vulnerable System delivers a long view of the history of information security, beginning with the creation of the first digital computers during the Cold War. From the key institutions of the so-called military industrial complex in the 1950s to Silicon Valley start-ups in the 2020s, the relentless pursuit of new technologies has come at great cost. The absence of knowledge regarding the history of information security has caused the lessons of the past to be forsaken for the novelty of the present, and has led us to be collectively unable to meet the needs of the current day. From the very beginning of the information age, claims of secure systems have been crushed by practical reality. The myriad risks to technology, Stewart reveals, cannot be addressed without first understanding how we arrived at this moment. A Vulnerable System is an enlightening and sobering history of a topic that affects crucial aspects of our lives.
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•Critical areas identified for Connected & Autonomous Vehicles (CAVs) in combating cyber-attacks.•Integrated CAVs communication framework is developed for potential ...cyber-attacks.•Consolidated details of the cyber-attacks on the CAVs in the Intelligent Transport System are presented.•Mitigation strategies for CAVs cyber-attacks along with future directions are discussed.
Modern-day Connected and Autonomous Vehicles (CAVs) with more than 100 million code lines, running up-to a hundred Electronic Control Units (ECUs) will create and exchange digital information with other vehicles and intelligent transport networks. Consequently, ubiquitous internal and external communication (controls, commands, and data) within all CAV-related nodes is inevitably the gatekeeper for the smooth operation. Therefore, it is a primary vulnerable area for cyber-attacks that entails stringent and efficient measures in the form of "cybersecurity". There is a lack of systematic and comprehensive review of the literature on cyber-attacks on the CAVs, respective mitigation strategies, anticipated readiness, and research directions for the future.
This study aims to analyse, synthesise, and interpret critical areas for the roll-out and progression of CAVs in combating cyber-attacks. Specifically, we described in a structured way a holistic view of potentially critical avenues, which lies at the heart of CAV cybersecurity research. We synthesise their scope with a particular focus on ensuring effective CAVs deployment and reducing the probability of cyber-attack failures. We present the CAVs communication framework in an integrated form, i.e., from In-Vehicle (IV) communication to Vehicle-to-Vehicle (V2X) communication with a visual flowchart to provide a transparent picture of all the interfaces for potential cyber-attacks. The vulnerability of CAVs by proximity (or physical) access to cyber-attacks is outlined with future recommendations. There is a detailed description of why the orthodox cybersecurity approaches in Cyber-Physical System (CPS) are not adequate to counter cyber-attacks on the CAVs. Further, we synthesised a table with consolidated details of the cyber-attacks on the CAVs, the respective CAV communication system, its impact, and the corresponding mitigation strategies. It is believed that the literature discussed, and the findings reached in this paper are of great value to CAV researchers, technology developers, and decision-makers in shaping and developing a robust CAV-cybersecurity framework.
In recent years, the number of vulnerabilities discovered and publicly disclosed has shown a sharp upward trend. However, the value of exploitation of vulnerabilities varies for attackers, ...considering that only a small fraction of vulnerabilities are exploited. Therefore, the realization of quick exclusion of the non-exploitable vulnerabilities and optimal patch prioritization on limited resources has become imperative for organizations. Recent works using machine learning techniques predict exploited vulnerabilities by extracting features from open-source intelligence (OSINT). However, in the face of explosive growth of vulnerability information, there is room for improvement in the application of past methods to multiple threat intelligence. A more general method is needed to deal with various threat intelligence sources. Moreover, in previous methods, traditional text processing methods were used to deal with vulnerability related descriptions, which only grasped the static statistical characteristics but ignored the context and the meaning of the words of the text. To address these challenges, we propose an exploit prediction model, which is based on a combination of fastText and LightGBM algorithm and called fastEmbed. We replicate key portions of the state-of-the-art work of exploit prediction and use them as benchmark models. Our model outperforms the baseline model whether in terms of the generalization ability or the prediction ability without temporal intermixing with an average overall improvement of 6.283% by learning the embedding of vulnerability-related text on extremely imbalanced data sets. Besides, in terms of predicting the exploits in the wild, our model also outperforms the baseline model with an F1 measure of 0.586 on the minority class (33.577% improvement over the work using features from darkweb/deepweb). The results demonstrate that the model can improve the ability to describe the exploitability of vulnerabilities and predict exploits in the wild effectively.
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