Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Series Title
      Series Title
      Clear All
      Series Title
  • Reading Level
      Reading Level
      Clear All
      Reading Level
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
      More Filters
      Clear All
      More Filters
      Content Type
    • Item Type
    • Is Full-Text Available
    • Subject
    • Country Of Publication
    • Publisher
    • Source
    • Donor
    • Language
    • Place of Publication
    • Contributors
    • Location
849,419 result(s) for "cyber security"
Sort by:
Personal cybersecurity : how to avoid and recover from cybercrime
Personal Cybersecurity addresses the needs of individual users at work and at home. This book covers personal cybersecurity for all modes of personal computing whether on consumer-acquired or company-issued devices: desktop PCs, laptops, mobile devices, smart TVs, WiFi and Bluetooth peripherals, and IoT objects embedded with network-connected sensors. In all these modes, the frequency, intensity, and sophistication of cyberattacks that put individual users at risk are increasing in step with accelerating mutation rates of malware and cybercriminal delivery systems.
In-Vehicle Communication Cyber Security: Challenges and Solutions
In-vehicle communication has become an integral part of today’s driving environment considering the growing add-ons of sensor-centric communication and computing devices inside a vehicle for a range of purposes including vehicle monitoring, physical wiring reduction, and driving efficiency. However, related literature on cyber security for in-vehicle communication systems is still lacking potential dedicated solutions for in-vehicle cyber risks. Existing solutions are mainly relying on protocol-specific security techniques and lacking an overall security framework for in-vehicle communication. In this context, this paper critically explores the literature on cyber security for in-vehicle communication focusing on technical architecture, methodologies, challenges, and possible solutions. In-vehicle communication network architecture is presented considering key components, interfaces, and related technologies. The protocols for in-vehicle communication have been classified based on their characteristics, and usage type. Security solutions for in-vehicle communication have been critically reviewed considering machine learning, cryptography, and port-centric techniques. A multi-layer secure framework is also developed as a protocol and use case-independent in-vehicle communication solution. Finally, open challenges and future dimensions of research for in-vehicle communication cyber security are highlighted as observations and recommendations.
Cybersecurity essentials
\"Cybersecurity Essentials\" provides a comprehensive introduction, with expert coverage of essential topics required for entry-level cybersecurity certificates. It covers the four distinct challenges of creating an effective cybersecurity defense: securing the infrastructure, securing devices, securing local networks, and securing the perimeter. The authors summarize the fundamental concepts of each challenge and include real-world scenarios that show how these vulnerabilities look in everyday computing. The text offers a summary of the key concepts, review questions, and hands-on exercises designed to help assess an understanding of key concepts. -- From publisher's description.
Mobilizing the C-Suite
Cyberattacks are more destructive than ever, but your C-suite can stop them. This book tells you how. Cyberattacks are worse now than ever before. To defeat cybercriminals, companies must focus on the low-hanging fruits of cybersecurity. It's all about the basics. Companies laid low by ransomware failed to practice good cyber hygiene by recklessly allowing weak or reused passwords, not turning on multifactor authentication, or neglecting to install patches to known software vulnerabilities. Adding insult to grievous injury, many companies failed to mitigate cyber doom by not encrypting their devices, not implementing a data backup plan, or the mother of all blunders, not training their workforce on basic cyber hygiene. Worse still, hidden risks abound for the unwary. A devastating cyberattack is just moments away when C-suite leaders close their eyes to the hazards of shadow IT, data offshoring, mobile devices, and social media. Mobilizing the C-suite: Waging War Against Cyberattacks was written to galvanize C-suite leaders into deploying the basic cybersecurity controls vital to defeating cyberattacks, and to support frontline cybersecurity professionals with companywide cyber hygiene training. Most importantly, the book was written to introduce real-world cybersecurity principles to college students—if our future generation of company leaders enter the C-suite with cyber-savvy, then destructive cyberattacks are not a foregone conclusion.
Artificial intelligence in cyber security: research advances, challenges, and opportunities
In recent times, there have been attempts to leverage artificial intelligence (AI) techniques in a broad range of cyber security applications. Therefore, this paper surveys the existing literature (comprising 54 papers mainly published between 2016 and 2020) on the applications of AI in user access authentication, network situation awareness, dangerous behavior monitoring, and abnormal traffic identification. This paper also identifies a number of limitations and challenges, and based on the findings, a conceptual human-in-the-loop intelligence cyber security model is presented.
Cyber-physical attack recovery procedures : a step-by-step preparation and response guide
\"Provides a template with step-by-step instructions on how to respond and recover when hackers get into your SCADA system and cause building equipment to act erratically or fail completely\"--Back cover.
Decision-Makers’ Understanding of Cyber-Security’s Systemic and Dynamic Complexity: Insights from a Board Game for Bank Managers
Cyber-security incidents show how difficult it is to make optimal strategic decisions in such a complex environment. Given that it is hard for researchers to observe organisations’ decision-making processes driving cyber-security strategy, we developed a board game that mimics this real-life environment and shows the challenges of decision-making. We observed cyber-security experts participating in the game. The results showed that decision-makers who performed poorly tended to employ heuristics, leading to fallacious decision approaches (overreaction strategies in place of proactive ones), and were not always aware of their poor performances. We advocate the need for decision support tools that capture this complex dynamic nature.
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.