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Hacking for dummies
\"Prevent Windows 10®, Linux®, and macOS® attacks; use the latest tools and techniques; develop a security testing plan\"--Cover.
Book
The Manager's Guide to Cybersecurity Law
In today's litigious business world, cyber-related matters could land you in court. As a computer security professional, you are protecting your data, but are you protecting your company? While you know industry standards and regulations, you may not be a legal expert. Fortunately, in a few hours of reading, rather than months of classroom study, Tari Schreider's The Manager's Guide to Cybersecurity Law: Essentials for Today's Business, lets you integrate legal issues into your security program.
eBook
See yourself in cyber : security careers beyond hacking
Information security strategist and educator Ed Adams delivers a unique and insightful discussion of the many different ways the people in your organization - inhabiting a variety of roles not traditionally associated with cybersecurity - can contribute to improving its cybersecurity backbone. You'll discover how developers, DevOps professionals, managers, and others can strengthen your cybersecurity. You'll also find out how improving your firm's diversity and inclusion can have dramatically positive effects on your team's talent. Using the familiar analogy of the color wheel, the author explains the modern roles and responsibilities of practitioners who operate within each 'slice.' He also includes: Real-world examples and case studies that demonstrate the application of the ideas discussed in the book.
Book
Cybersecurity law
Written in an accessible manner, this definitive guide to cybersecurity law provides real-world examples and case studies to help readers understand the practical applications of the presented material. --
eBook
Youth Internet Safety Education: Aligning Programs With the Evidence Base
Background:
This review critically examines the messages of youth internet safety education programs in the light of research about both the dynamics of internet dangers and the efficacy of youth prevention education.
Methods:
Using terms “internet safety education” and “digital citizenship,” a Google search identified 12 multi-topic safety programs. Review articles were identified via Google Scholar for six forms of online harm to youth that have been targeted by many of these programs: cyberbullying (19 articles); online sexual exploitation (23 articles); sexting (19 articles); online fraud, hacking, and identity theft (6 articles); online suicide and self-harm promotion (18 articles); and internet overuse or addiction (15 articles).
Findings:
There appear to be mismatches between dynamics revealed in the research about internet harms and the messages emphasized in educational programs, particularly on the issues of sexual exploitation and sexting. Overall, the review literature also suggests major advantages to integrating internet safety into already well-established and evidence-based programs currently addressing related off-line harms, for example, programs focusing on general bullying, dating abuse, or sexual abuse prevention. The advantages stem from four factors: (1) the considerable overlap between online harms and similar off-line harms, (2) the apparent greater prevalence of off-line harms, (3) the evidence that the same risk factors lie behind both online and off-line harms, and most importantly, (4) the substantially superior evidence base for the longer standing programs developed originally around the off-line harms.
Journal Article
Cybersecurity issues in emerging technologies
\"The threat landscape is evolving with tremendous speed. We are facing an extremely fast-growing attack surface with a diversity of attack vectors, a clear asymmetry between attackers and defenders, billions of connected IoT devices, mostly reactive detection and mitigation approaches, and finally big data challenges. The clear asymmetry of attacks and the enormous amount of data are additional arguments to make it necessary to rethink cybersecurity approaches in terms of reducing the attack surface, to make the attack surface dynamic, to automate the detection, risk assessment, and mitigation, and to investigate the prediction and prevention of attacks with the utilization of emerging technologies like blockchain, artificial intelligence and machine learning. This book contains eleven chapters dealing with different Cybersecurity Issues in Emerging Technologies. The issues that are discussed and analyzed include smart connected cars, unmanned ships, 5G/6G connectivity, blockchain, agile incident response, hardware assisted security, ransomware attacks, hybrid threats and cyber skills gap. Both theoretical analysis and experimental evaluation of state-of-the-art techniques are presented and discussed. Prospective readers can be benefitted in understanding the future implications of novel technologies and proposed security solutions and techniques. Graduate and postgraduate students, research scholars, academics, cybersecurity professionals, and business leaders will find this book useful, which is planned to enlighten both beginners and experienced readers\"-- Provided by publisher.
Book
The Effect of COVID-19 Restrictions on Routine Activities and Online Crime
ObjectivesRoutine activity theory suggests that levels of crime are affected by peoples’ activity patterns. Here, we examine if, through their impact on people’s on- and off-line activities, COVID-19 restriction affected fraud committed on- and off-line during the pandemic. Our expectation was that levels of online offending would closely follow changes to mobility and online activity—with crime increasing as restrictions were imposed (and online activity increased) and declining as they were relaxed. For doorstep fraud, which has a different opportunity structure, our expectation was that the reverse would be true.MethodCOVID-19 restrictions systematically disrupted people’s activity patterns, creating quasi-experimental conditions well-suited to testing the effects of “interventions” on crime. We exploit those conditions using ARIMA time series models and UK data for online shopping fraud, hacking, doorstep fraud, online sales, and mobility to test hypotheses. Doorstep fraud is modelled as a non-equivalent dependent variable, allowing us to test whether findings were selective and in line with theoretical expectations.ResultsAfter controlling for other factors, levels of crime committed online were positively associated with monthly variation in online activities and negatively associated with monthly variation in mobility. In contrast, and as expected, monthly variation in doorstep fraud was positively associated with changes in mobility.ConclusionsWe find evidence consistent with routine activity theory, suggesting that disruptions to people’s daily activity patterns affect levels of crime committed both on- and off-line. The theoretical implications of the findings, and the need to develop a better evidence base about what works to reduce online crime, are discussed.
Journal Article
The perfect weapon : war, sabotage, and fear in the cyber age
\"In 2015, Russian hackers tunneled deep into the computer systems of the Democratic National Committee, and the subsequent leaks of the emails they stole may have changed the course of American democracy. But to see the DNC hacks as Trump-centric is to miss the bigger, more important story: Within that same year, the Russians not only had broken into networks at the White House, the State Department, and the Joint Chiefs of Staff, but had placed implants in American electrical and nuclear plants that could give them the power to switch off vast swaths of the country. This was the culmination of a decade of escalating digital sabotage among the world's powers, in which Americans became the collateral damage as China, Iran, North Korea, and Russia battled in cyberspace to undercut one another in daily just-short-of-war conflict. The Perfect Weapon is the startling inside story of how the rise of cyberweapons transformed geopolitics like nothing since the invention of the atomic bomb. Cheap to acquire, easy to deny, and usable for a variety of malicious purposes--from crippling infrastructure to sowing discord and doubt--cyber is now the weapon of choice for democracies, dictators, and terrorists. Two presidents--Bush and Obama--drew first blood with Operation Olympic Games, which used malicious code to blow up Iran's nuclear centrifuges, and yet America proved remarkably unprepared when its own weapons were stolen from its arsenal and, during President Trump's first year, turned back on the US and its allies. The government was often paralyzed, unable to threaten the use of cyberweapons because America was so vulnerable to crippling attacks on its own networks of banks, utilities, and government agencies. Moving from the White House Situation Room to the dens of Chinese government hackers to the boardrooms of Silicon Valley, New York Times national security correspondent David Sanger--who broke the story of Olympic Games in his previous book--reveals a world coming face-to-face with the perils of technological revolution. The Perfect Weapon is the dramatic story of how great and small powers alike slipped into a new era of constant sabotage, misinformation, and fear, in which everyone is a target.\"--Jacket flaps.
Book
Advancing cybersecurity: a comprehensive review of AI-driven detection techniques
As the number and cleverness of cyber-attacks keep increasing rapidly, it's more important than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly and accurately is crucial because they can cause severe damage to individuals and businesses. This paper takes a close look at how we can use artificial intelligence (AI), including machine learning (ML) and deep learning (DL), alongside metaheuristic algorithms to detect cyber-attacks better. We've thoroughly examined over sixty recent studies to measure how effective these AI tools are at identifying and fighting a wide range of cyber threats. Our research includes a diverse array of cyberattacks such as malware attacks, network intrusions, spam, and others, showing that ML and DL methods, together with metaheuristic algorithms, significantly improve how well we can find and respond to cyber threats. We compare these AI methods to find out what they're good at and where they could improve, especially as we face new and changing cyber-attacks. This paper presents a straightforward framework for assessing AI Methods in cyber threat detection. Given the increasing complexity of cyber threats, enhancing AI methods and regularly ensuring strong protection is critical. We evaluate the effectiveness and the limitations of current ML and DL proposed models, in addition to the metaheuristic algorithms. Recognizing these limitations is vital for guiding future enhancements. We're pushing for smart and flexible solutions that can adapt to new challenges. The findings from our research suggest that the future of protecting against cyber-attacks will rely on continuously updating AI methods to stay ahead of hackers' latest tricks.
Journal Article