Advances In Malware And Data Driven Network Security

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Advances in Malware and Data-Driven Network Security

Gupta, Brij B.
Advances in Malware and Data Driven Network Security Book PDF

Author : Gupta, Brij B.
Publisher : IGI Global
Page : 304 pages
File Size : 49,8 Mb
Release : 2021-11-12
Category : Computers
ISBN : 9781799877912

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Advances in Malware and Data-Driven Network Security by Gupta, Brij B. Pdf

Every day approximately three-hundred thousand to four-hundred thousand new malware are registered, many of them being adware and variants of previously known malware. Anti-virus companies and researchers cannot deal with such a deluge of malware – to analyze and build patches. The only way to scale the efforts is to build algorithms to enable machines to analyze malware and classify and cluster them to such a level of granularity that it will enable humans (or machines) to gain critical insights about them and build solutions that are specific enough to detect and thwart existing malware and generic-enough to thwart future variants. Advances in Malware and Data-Driven Network Security comprehensively covers data-driven malware security with an emphasis on using statistical, machine learning, and AI as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats. Providing information on advances in malware and data-driven network security as well as future research directions, it is ideal for graduate students, academicians, faculty members, scientists, software developers, security analysts, computer engineers, programmers, IT specialists, and researchers who are seeking to learn and carry out research in the area of malware and data-driven network security.

Android Malware Detection using Machine Learning

ElMouatez Billah Karbab,Mourad Debbabi,Abdelouahid Derhab,Djedjiga Mouheb
Android Malware Detection using Machine Learning Book PDF

Author : ElMouatez Billah Karbab,Mourad Debbabi,Abdelouahid Derhab,Djedjiga Mouheb
Publisher : Springer Nature
Page : 212 pages
File Size : 42,8 Mb
Release : 2021-07-10
Category : Computers
ISBN : 9783030746643

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Android Malware Detection using Machine Learning by ElMouatez Billah Karbab,Mourad Debbabi,Abdelouahid Derhab,Djedjiga Mouheb Pdf

The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures. First, the authors propose an approximate fingerprinting technique for android packaging that captures the underlying static structure of the android applications in the context of bulk and offline detection at the app-market level. This book proposes a malware clustering framework to perform malware clustering by building and partitioning the similarity network of malicious applications on top of this fingerprinting technique. Second, the authors propose an approximate fingerprinting technique that leverages dynamic analysis and natural language processing techniques to generate Android malware behavior reports. Based on this fingerprinting technique, the authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework to produce intelligence about the underlying malicious cyber-infrastructures of Android malware. The authors then leverage graph analysis techniques to generate relevant intelligence to identify the threat effects of malicious Internet activity associated with android malware. The authors elaborate on an effective android malware detection system, in the online detection context at the mobile device level. It is suitable for deployment on mobile devices, using machine learning classification on method call sequences. Also, it is resilient to common code obfuscation techniques and adaptive to operating systems and malware change overtime, using natural language processing and deep learning techniques. Researchers working in mobile and network security, machine learning and pattern recognition will find this book useful as a reference. Advanced-level students studying computer science within these topic areas will purchase this book as well.

Big Data Analytics in Fog-Enabled IoT Networks

Govind P. Gupta,Rakesh Tripathi,Brij B. Gupta,Kwok Tai Chui
Big Data Analytics in Fog Enabled IoT Networks Book PDF

Author : Govind P. Gupta,Rakesh Tripathi,Brij B. Gupta,Kwok Tai Chui
Publisher : CRC Press
Page : 235 pages
File Size : 41,6 Mb
Release : 2023-04-19
Category : Computers
ISBN : 9781000861860

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Big Data Analytics in Fog-Enabled IoT Networks by Govind P. Gupta,Rakesh Tripathi,Brij B. Gupta,Kwok Tai Chui Pdf

The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks. This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system.

Advances in Security in Computing and Communications

Jaydip Sen
Advances in Security in Computing and Communications Book PDF

Author : Jaydip Sen
Publisher : BoD – Books on Demand
Page : 194 pages
File Size : 43,8 Mb
Release : 2017-07-19
Category : Computers
ISBN : 9789535133452

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Advances in Security in Computing and Communications by Jaydip Sen Pdf

In the era of Internet of Things (IoT) and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such humongous volume of data, several new challenges are faced in protecting privacy of sensitive data and securing systems by designing novel schemes for secure authentication, integrity protection, encryption, and non-repudiation. Lightweight symmetric key cryptography and adaptive network security algorithms are in demand for mitigating these challenges. This book presents some of the state-of-the-art research work in the field of cryptography and security in computing and communications. It is a valuable source of knowledge for researchers, engineers, practitioners, graduates, and doctoral students who are working in the field of cryptography, network security, and security and privacy issues in the Internet of Things (IoT). It will also be useful for faculty members of graduate schools and universities.

Data Analytics and Decision Support for Cybersecurity

Iván Palomares Carrascosa,Harsha Kumara Kalutarage,Yan Huang
Data Analytics and Decision Support for Cybersecurity Book PDF

Author : Iván Palomares Carrascosa,Harsha Kumara Kalutarage,Yan Huang
Publisher : Springer
Page : 270 pages
File Size : 47,5 Mb
Release : 2017-08-01
Category : Computers
ISBN : 9783319594392

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Data Analytics and Decision Support for Cybersecurity by Iván Palomares Carrascosa,Harsha Kumara Kalutarage,Yan Huang Pdf

The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.

Global Perspectives on Information Security Regulations: Compliance, Controls, and Assurance

Francia III, Guillermo A.,Zanzig, Jeffrey S.
Global Perspectives on Information Security Regulations Compliance Controls and Assurance Book PDF

Author : Francia III, Guillermo A.,Zanzig, Jeffrey S.
Publisher : IGI Global
Page : 309 pages
File Size : 41,5 Mb
Release : 2022-05-27
Category : Computers
ISBN : 9781799883920

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Global Perspectives on Information Security Regulations: Compliance, Controls, and Assurance by Francia III, Guillermo A.,Zanzig, Jeffrey S. Pdf

Recent decades have seen a proliferation of cybersecurity guidance in the form of government regulations and standards with which organizations must comply. As society becomes more heavily dependent on cyberspace, increasing levels of security measures will need to be established and maintained to protect the confidentiality, integrity, and availability of information. Global Perspectives on Information Security Regulations: Compliance, Controls, and Assurance summarizes current cybersecurity guidance and provides a compendium of innovative and state-of-the-art compliance and assurance practices and tools. It provides a synopsis of current cybersecurity guidance that organizations should consider so that management and their auditors can regularly evaluate their extent of compliance. Covering topics such as cybersecurity laws, deepfakes, and information protection, this premier reference source is an excellent resource for cybersecurity consultants and professionals, IT specialists, business leaders and managers, government officials, faculty and administration of both K-12 and higher education, libraries, students and educators of higher education, researchers, and academicians.

Handbook of Research on Cyber Law, Data Protection, and Privacy

Dewani, Nisha Dhanraj,Khan, Zubair Ahmed,Agarwal, Aarushi,Sharma, Mamta,Khan, Shaharyar Asaf
Handbook of Research on Cyber Law Data Protection and Privacy Book PDF

Author : Dewani, Nisha Dhanraj,Khan, Zubair Ahmed,Agarwal, Aarushi,Sharma, Mamta,Khan, Shaharyar Asaf
Publisher : IGI Global
Page : 390 pages
File Size : 46,7 Mb
Release : 2022-04-22
Category : Computers
ISBN : 9781799886433

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Handbook of Research on Cyber Law, Data Protection, and Privacy by Dewani, Nisha Dhanraj,Khan, Zubair Ahmed,Agarwal, Aarushi,Sharma, Mamta,Khan, Shaharyar Asaf Pdf

The advancement of information and communication technology has led to a multi-dimensional impact in the areas of law, regulation, and governance. Many countries have declared data protection a fundamental right and established reforms of data protection law aimed at modernizing the global regulatory framework. Due to these advancements in policy, the legal domain has to face many challenges at a rapid pace making it essential to study and discuss policies and laws that regulate and monitor these activities and anticipate new laws that should be implemented in order to protect users. The Handbook of Research on Cyber Law, Data Protection, and Privacy focuses acutely on the complex relationships of technology and law both in terms of substantive legal responses to legal, social, and ethical issues arising in connection with growing public engagement with technology and the procedural impacts and transformative potential of technology on traditional and emerging forms of dispute resolution. Covering a range of topics such as artificial intelligence, data protection, and social media, this major reference work is ideal for government officials, policymakers, industry professionals, academicians, scholars, researchers, practitioners, instructors, and students.

Data Exfiltration Threats and Prevention Techniques

Zahir Tari,Nasrin Sohrabi,Yasaman Samadi,Jakapan Suaboot
Data Exfiltration Threats and Prevention Techniques Book PDF

Author : Zahir Tari,Nasrin Sohrabi,Yasaman Samadi,Jakapan Suaboot
Publisher : John Wiley & Sons
Page : 292 pages
File Size : 43,9 Mb
Release : 2023-05-22
Category : Computers
ISBN : 9781119898894

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Data Exfiltration Threats and Prevention Techniques by Zahir Tari,Nasrin Sohrabi,Yasaman Samadi,Jakapan Suaboot Pdf

DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on: Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches Supervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques Behavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences Memory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.

Malware Analysis Using Artificial Intelligence and Deep Learning

Mark Stamp,Mamoun Alazab,Andrii Shalaginov
Malware Analysis Using Artificial Intelligence and Deep Learning Book PDF

Author : Mark Stamp,Mamoun Alazab,Andrii Shalaginov
Publisher : Springer Nature
Page : 651 pages
File Size : 53,5 Mb
Release : 2020-12-20
Category : Computers
ISBN : 9783030625825

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Malware Analysis Using Artificial Intelligence and Deep Learning by Mark Stamp,Mamoun Alazab,Andrii Shalaginov Pdf

​This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.

Cybersecurity in Intelligent Networking Systems

Shengjie Xu,Yi Qian,Rose Qingyang Hu
Cybersecurity in Intelligent Networking Systems Book PDF

Author : Shengjie Xu,Yi Qian,Rose Qingyang Hu
Publisher : John Wiley & Sons
Page : 148 pages
File Size : 54,6 Mb
Release : 2022-11-02
Category : Computers
ISBN : 9781119784128

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Cybersecurity in Intelligent Networking Systems by Shengjie Xu,Yi Qian,Rose Qingyang Hu Pdf

CYBERSECURITY IN INTELLIGENT NETWORKING SYSTEMS Help protect your network system with this important reference work on cybersecurity Cybersecurity and privacy are critical to modern network systems. As various malicious threats have been launched that target critical online services—such as e-commerce, e-health, social networks, and other major cyber applications—it has become more critical to protect important information from being accessed. Data-driven network intelligence is a crucial development in protecting the security of modern network systems and ensuring information privacy. Cybersecurity in Intelligent Networking Systems provides a background introduction to data-driven cybersecurity, privacy preservation, and adversarial machine learning. It offers a comprehensive introduction to exploring technologies, applications, and issues in data-driven cyber infrastructure. It describes a proposed novel, data-driven network intelligence system that helps provide robust and trustworthy safeguards with edge-enabled cyber infrastructure, edge-enabled artificial intelligence (AI) engines, and threat intelligence. Focusing on encryption-based security protocol, this book also highlights the capability of a network intelligence system in helping target and identify unauthorized access, malicious interactions, and the destruction of critical information and communication technology. Cybersecurity in Intelligent Networking Systems readers will also find: Fundamentals in AI for cybersecurity, including artificial intelligence, machine learning, and security threats Latest technologies in data-driven privacy preservation, including differential privacy, federated learning, and homomorphic encryption Key areas in adversarial machine learning, from both offense and defense perspectives Descriptions of network anomalies and cyber threats Background information on data-driven network intelligence for cybersecurity Robust and secure edge intelligence for network anomaly detection against cyber intrusions Detailed descriptions of the design of privacy-preserving security protocols Cybersecurity in Intelligent Networking Systems is an essential reference for all professional computer engineers and researchers in cybersecurity and artificial intelligence, as well as graduate students in these fields.

Methods, Implementation, and Application of Cyber Security Intelligence and Analytics

Om Prakash, Jena,Gururaj, H.L.,Pooja, M.R.,Pavan Kumar, S.P.
Methods Implementation and Application of Cyber Security Intelligence and Analytics Book PDF

Author : Om Prakash, Jena,Gururaj, H.L.,Pooja, M.R.,Pavan Kumar, S.P.
Publisher : IGI Global
Page : 286 pages
File Size : 42,6 Mb
Release : 2022-06-17
Category : Computers
ISBN : 9781668439937

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Methods, Implementation, and Application of Cyber Security Intelligence and Analytics by Om Prakash, Jena,Gururaj, H.L.,Pooja, M.R.,Pavan Kumar, S.P. Pdf

Cyber security is a key focus in the modern world as more private information is stored and saved online. In order to ensure vital information is protected from various cyber threats, it is essential to develop a thorough understanding of technologies that can address cyber security challenges. Artificial intelligence has been recognized as an important technology that can be employed successfully in the cyber security sector. Due to this, further study on the potential uses of artificial intelligence is required. Methods, Implementation, and Application of Cyber Security Intelligence and Analytics discusses critical artificial intelligence technologies that are utilized in cyber security and considers various cyber security issues and their optimal solutions supported by artificial intelligence. Covering a range of topics such as malware, smart grid, data breachers, and machine learning, this major reference work is ideal for security analysts, cyber security specialists, data analysts, security professionals, computer scientists, government officials, researchers, scholars, academicians, practitioners, instructors, and students.

Cybersecurity Capabilities in Developing Nations and Its Impact on Global Security

Dawson, Maurice,Tabona, Oteng,Maupong, Thabiso
Cybersecurity Capabilities in Developing Nations and Its Impact on Global Security Book PDF

Author : Dawson, Maurice,Tabona, Oteng,Maupong, Thabiso
Publisher : IGI Global
Page : 282 pages
File Size : 50,8 Mb
Release : 2022-02-04
Category : Computers
ISBN : 9781799886952

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Cybersecurity Capabilities in Developing Nations and Its Impact on Global Security by Dawson, Maurice,Tabona, Oteng,Maupong, Thabiso Pdf

Developing nations have seen many technological advances in the last decade. Although beneficial and progressive, they can lead to unsafe mobile devices, system networks, and internet of things (IoT) devices, causing security vulnerabilities that can have ripple effects throughout society. While researchers attempt to find solutions, improper implementation and negative uses of technology continue to create new security threats to users. Cybersecurity Capabilities in Developing Nations and Its Impact on Global Security brings together research-based chapters and case studies on systems security techniques and current methods to identify and overcome technological vulnerabilities, emphasizing security issues in developing nations. Focusing on topics such as data privacy and security issues, this book is an essential reference source for researchers, university academics, computing professionals, and upper-level students in developing countries interested in the techniques, laws, and training initiatives currently being implemented and adapted for secure computing.

Cybersecurity Crisis Management and Lessons Learned From the COVID-19 Pandemic

Abassi, Ryma,Ben Chehida Douss, Aida
Cybersecurity Crisis Management and Lessons Learned From the COVID 19 Pandemic Book PDF

Author : Abassi, Ryma,Ben Chehida Douss, Aida
Publisher : IGI Global
Page : 276 pages
File Size : 50,9 Mb
Release : 2022-04-15
Category : Computers
ISBN : 9781799891666

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Cybersecurity Crisis Management and Lessons Learned From the COVID-19 Pandemic by Abassi, Ryma,Ben Chehida Douss, Aida Pdf

The COVID-19 pandemic has forced organizations and individuals to embrace new practices such as social distancing and remote working. During these unprecedented times, many have increasingly relied on the internet for work, shopping, and healthcare. However, while the world focuses on the health and economic threats posed by the COVID-19 pandemic, cyber criminals are capitalizing on this crisis as the world has become more digitally dependent and vulnerable than ever. Cybersecurity Crisis Management and Lessons Learned From the COVID-19 Pandemic provides cutting-edge research on the best guidelines for preventing, detecting, and responding to cyber threats within educational, business, health, and governmental organizations during the COVID-19 pandemic. It further highlights the importance of focusing on cybersecurity within organizational crisis management. Covering topics such as privacy and healthcare, remote work, and personal health data, this premier reference source is an indispensable resource for startup companies, health and business executives, ICT procurement managers, IT professionals, libraries, students and educators of higher education, entrepreneurs, government officials, social media experts, researchers, and academicians.

The Cybersecurity Workforce of Tomorrow

Michael Nizich
The Cybersecurity Workforce of Tomorrow Book PDF

Author : Michael Nizich
Publisher : Emerald Group Publishing
Page : 225 pages
File Size : 50,7 Mb
Release : 2023-07-31
Category : Business & Economics
ISBN : 9781803829159

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The Cybersecurity Workforce of Tomorrow by Michael Nizich Pdf

The Cybersecurity Workforce of Tomorrow discusses the current requirements of the cybersecurity worker and analyses the ways in which these roles may change in the future as attacks from hackers, criminals and enemy states become increasingly sophisticated.

Practical Threat Intelligence and Data-Driven Threat Hunting

Valentina Costa-Gazcón
Practical Threat Intelligence and Data Driven Threat Hunting Book PDF

Author : Valentina Costa-Gazcón
Publisher : Packt Publishing Ltd
Page : 398 pages
File Size : 52,7 Mb
Release : 2021-02-12
Category : Computers
ISBN : 9781838551636

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Practical Threat Intelligence and Data-Driven Threat Hunting by Valentina Costa-Gazcón Pdf

Get to grips with cyber threat intelligence and data-driven threat hunting while exploring expert tips and techniques Key Features Set up an environment to centralize all data in an Elasticsearch, Logstash, and Kibana (ELK) server that enables threat hunting Carry out atomic hunts to start the threat hunting process and understand the environment Perform advanced hunting using MITRE ATT&CK Evals emulations and Mordor datasets Book DescriptionThreat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business. This book is not only an introduction for those who don’t know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch. You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you’ll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework. By the end of this book, you’ll have the skills you need to be able to carry out effective hunts in your own environment.What you will learn Understand what CTI is, its key concepts, and how it is useful for preventing threats and protecting your organization Explore the different stages of the TH process Model the data collected and understand how to document the findings Simulate threat actor activity in a lab environment Use the information collected to detect breaches and validate the results of your queries Use documentation and strategies to communicate processes to senior management and the wider business Who this book is for If you are looking to start out in the cyber intelligence and threat hunting domains and want to know more about how to implement a threat hunting division with open-source tools, then this cyber threat intelligence book is for you.