Securing the Digital Realm: Advances in Hardware and Software Security, Communication, and Forensics
暫譯: 保護數位領域:硬體與軟體安全、通訊及取證的進展
Arif, Muhammad, Jaffar, M. Arfan, Geman, Oana
商品描述
This book, Securing the Digital Realm: Advances in Hardware and Software Security, Communication, and Forensics, is a comprehensive guide that explores the intricate world of digital security and forensics. As our lives become increasingly digital, understanding how to protect our digital assets, communication systems, and investigate cybercrimes is more crucial than ever. This book begins by laying a strong foundation in the fundamental concepts of hardware and software security. It explains the design of modern computer systems and networks to defend against a myriad of threats, from malware to data breaches, in clear and accessible language.
One of the standout features of this book is its coverage of cutting-edge technologies like blockchain, artificial intelligence, and machine learning. It demonstrates how these innovations are used to enhance digital security and combat evolving threats.
Key features of the book include:
- Comprehensive coverage of digital security, communication, and forensics
- Exploration of cutting-edge technologies and trends
- Emphasis on digital forensics techniques and tools
- Coverage of ethical and legal aspects of digital security
- Practical guidance for applying cybersecurity principles
Additionally, the book highlights the importance of secure communication in the digital age, discussing encryption, secure messaging protocols, and privacy-enhancing technologies. It empowers readers to make informed decisions about protecting their online communications. Written by experts in the field, this book addresses the ethical and legal dimensions of digital security and forensics, providing readers with a comprehensive understanding of these complex topics. This book is essential reading for anyone interested in understanding and navigating the complexities of digital security and forensics.
商品描述(中文翻譯)
本書《Securing the Digital Realm: Advances in Hardware and Software Security, Communication, and Forensics》是一本全面的指南,探討數位安全與取證的複雜世界。隨著我們的生活日益數位化,了解如何保護我們的數位資產、通訊系統以及調查網路犯罪變得比以往任何時候都更為重要。本書首先奠定了硬體和軟體安全的基本概念,並以清晰易懂的語言解釋現代計算機系統和網路的設計,以防範各種威脅,從惡意軟體到數據洩露。
本書的一大亮點是涵蓋了區塊鏈、人工智慧和機器學習等尖端技術。它展示了這些創新如何用於增強數位安全並對抗不斷演變的威脅。
本書的主要特色包括:
- 全面涵蓋數位安全、通訊和取證
- 探索尖端技術和趨勢
- 強調數位取證技術和工具
- 涵蓋數位安全的倫理和法律方面
- 提供應用網路安全原則的實用指導
此外,本書強調在數位時代安全通訊的重要性,討論加密、安全消息傳遞協議和隱私增強技術。它使讀者能夠做出明智的決策,以保護他們的線上通訊。本書由該領域的專家撰寫,探討數位安全和取證的倫理及法律層面,為讀者提供對這些複雜主題的全面理解。本書是任何希望理解和應對數位安全與取證複雜性的讀者必讀的資料。
作者簡介
Dr. Muhammad Arif is an associate Professor at Superior University Lahore, Pakistan. His research interests include Artificial intelligence, big data, cloud computing, and cyberspace security, data mining, image processing, medical image processing, Privacy, Security, and E-learning. Currently, he is working privacy and security of vehicular networks. Previously he was a lecturer at the University of Gujrat, Gujrat, Pakistan. He completed masters and bachelor degrees in Pakistan. He received his BS degree in Computer Science from the University of Sargodha, Pakistan in 2011. He obtained his MS degree in Computer Science from COMSATS Islamabad 2013 Pakistan. He completed his PhD degree from Guangzhou University, China. He is the author of more than 220 SCIE journal publications, and more than 30 conference publications and a number of Best Paper Awards in the international conferences, including iSCI 2019. He has 4 SCI highly cited papers. He has more than 4500 citations, according to Google Scholar. His H-Index is 39 and the i10-Index is 85. He is the Editorial board member of International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE). He has participated in many international conferences as Program committee member, Session Chair, Technical Program Committee, or International Program Committees. He is the program chair of The 2020 International Workshop on Smart Technologies for Intelligent Transportation and Communications (SmartITC 2020 and 2021).
Prof. Dr. M. Arfan Jaffar received the M.Sc. degree in computer science from Quaid-i-Azam University, Islamabad, Pakistan, in March 2003, and the M.S. and Ph.D. degrees in computer science from the FAST National University of Computer and Emerging Sciences, in 2006 and 2009, respectively. He was an Assistant Professor with Al-Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia, from March 2013 to August 2018. He is currently the Dean with the Faculty of Computer Science and Information Technology, Superior University, Lahore, Pakistan, where he is also the Director of intelligent data visual computing research (IDVCR). He received a Postdoctoral Research Fellowship from South Korea and carried out research at the top raking Korean university, such as the Gwangju Institute of Science and Technology, Gwangju, South Korea, from 2010 to 2013. His research interests include image processing, data science, machine learning, computer vision, artificial intelligence, and medical images. He is a Reviewer of 30 reputed international journals, such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Industrial Electronics, Pattern Recognition, Knowledge, and Information Sciences. Dr. Arfan is serving the educational sector of Pakistan for the past 20 years. With over 130 Publications & 1 Book to his credit, he is undoubtedly the most experienced scholar of CS and IT in Pakistan.
Oana Geman (Senior Member, IEEE) received the Ph.D. degree in electronics and telecommunication, in 2005. She is currently an Associate Professor with the Human and Health Development Department, Stefan cel Mare University of Suceava, Romania. Her current research interests include the non-invasive measurements of biomedical signals, wireless sensors, signal processing, artificial intelligence, nonlinear dynamics, stochastic networks, neuro-fuzzy methods, bioinformatics, biostatistics, biomedicine, the detection of neurological disorders, and rehabilitation. She has served as a member for the Technical Committees and the chair for several international conferences. She is a Reviewer of many journals, including IEEE Transactions, IEEE Access, IEEE Internet of Things Journal, Sensors, and Symmetry.
Dr. Waseem Abbasi is an accomplished academic and researcher currently serving as an Associate Professor and Head of Department Computer Science at The University of Lahore, Sargodha Campus, Pakistan. With a profound dedication to the field of robotics and autonomous systems, Dr. Abbasi has established a prominent presence in academia and research. Dr. Abbasi is recognized as an esteemed academic professional enlisted in the Higher Education Commission of Pakistan (HEC) approved supervisors, contributing significantly to the development and growth of future talents in the realm of computer science and technology. In 2020, Dr. Abbasi completed a prestigious Postdoctoral Fellowship at the National Cheng Kung University, Taiwan. During this time, their research primarily focused on the intricate domain of Robotics and Autonomous Systems, garnering valuable insights and expertise in the field. In 2018, Dr. Abbasi achieved a milestone in their academic journey by obtaining a doctorate degree in Electrical Engineering, specializing in Robotics and Autonomous Systems, from the Capital University of Science and Technology, Pakistan. His academic excellence was further acknowledged through the receipt of the Indigenous PhD Scholarship from the Higher Education Commission of Pakistan, demonstrating their commitment to advancing knowledge and technology. Dr. Abbasi has authored and published more than 25 scientific papers in prestigious refereed and classified scientific journals and conferences, contributing significantly to the body of knowledge in their areas of expertise. Currently, Dr. Abbasi research is at the forefront of Robotics and Autonomous Systems, with a specific focus on Nonholonomic Systems, Nonlinear Control, Sliding Mode Control and Machine Learning algorithms for Autonomous Systems.
作者簡介(中文翻譯)
**穆罕默德·阿里夫博士**是巴基斯坦拉合爾的Superior University的副教授。他的研究興趣包括人工智慧、大數據、雲計算、網路安全、數據挖掘、影像處理、醫學影像處理、隱私、安全性和電子學習。目前,他正在研究車輛網路的隱私和安全性。之前,他曾在巴基斯坦古吉拉特大學擔任講師。他在巴基斯坦完成了碩士和學士學位。他於2011年在巴基斯坦Sargodha大學獲得計算機科學的學士學位,並於2013年在巴基斯坦的COMSATS伊斯蘭堡獲得計算機科學的碩士學位。他在中國廣州大學獲得博士學位。他是220多篇SCIE期刊出版物的作者,並在國際會議上發表了30多篇論文,還獲得了包括iSCI 2019在內的多個最佳論文獎。他有4篇SCI高被引論文。根據Google Scholar,他的引用次數超過4500次,H指數為39,i10指數為85。他是《國際先進智慧範式期刊》(IJAIP)和《國際計算系統工程期刊》(IJCSysE)的編輯委員會成員。他參加了許多國際會議,擔任程序委員會成員、會議主席、技術程序委員會或國際程序委員會成員。他是2020年智能交通與通訊智能技術國際研討會(SmartITC 2020和2021)的程序主席。
**M. Arfan Jaffar教授博士**於2003年3月在巴基斯坦伊斯蘭堡的Quaid-i-Azam大學獲得計算機科學碩士學位,並於2006年和2009年分別在FAST國立計算機與新興科學大學獲得計算機科學的碩士和博士學位。他曾於2013年3月至2018年8月在沙烏地阿拉伯利雅德的Al-Imam Mohammad Ibn Saud伊斯蘭大學擔任助理教授。目前,他是巴基斯坦拉合爾Superior University計算機科學與資訊技術學院的院長,同時也是智能數據視覺計算研究(IDVCR)的主任。他曾獲得來自南韓的博士後研究獎學金,並於2010年至2013年在韓國排名前列的高等學府如光州科技院進行研究。他的研究興趣包括影像處理、數據科學、機器學習、計算機視覺、人工智慧和醫學影像。他是30本知名國際期刊的審稿人,包括IEEE模式分析與機器智慧期刊、IEEE影像處理期刊、IEEE工業電子期刊、模式識別、知識與資訊科學等。阿爾凡博士在過去20年中一直服務於巴基斯坦的教育界,擁有超過130篇出版物和1本書籍,無疑是巴基斯坦計算機科學和資訊技術領域中最有經驗的學者。
**奧娜·蓋曼**(Oana Geman,IEEE高級會員)於2005年獲得電子與電信的博士學位。她目前是羅馬尼亞蘇恰瓦的Stefan cel Mare大學人類與健康發展系的副教授。她目前的研究興趣包括生物醫學信號的非侵入性測量、無線傳感器、信號處理、人工智慧、非線性動力學、隨機網路、神經模糊方法、生物資訊學、生物統計學、生物醫學、神經疾病的檢測和康復。她曾擔任多個國際會議的技術委員會成員和主席。她是多本期刊的審稿人,包括IEEE Transactions、IEEE Access、IEEE物聯網期刊、Sensors和Symmetry。
**瓦西姆·阿巴西博士**是一位成就卓著的學者和研究人員,目前擔任巴基斯坦拉合爾大學薩爾戈達校區計算機科學系的副教授和系主任。阿巴西博士對機器人技術和自主系統領域有著深厚的熱情,並在學術界和研究界建立了顯著的影響力。他被認可為巴基斯坦高等教育委員會(HEC)批准的導師之一,對於計算機科學和技術領域未來人才的發展和成長做出了重要貢獻。2020年,阿巴西博士在台灣國立成功大學完成了一項享有盛譽的博士後獎學金。在此期間,他的研究主要集中在機器人技術和自主系統的複雜領域,獲得了寶貴的見解和專業知識。2018年,阿巴西博士在巴基斯坦資本科技大學獲得電機工程博士學位,專攻機器人技術和自主系統。他的學術卓越得到了巴基斯坦高等教育委員會頒發的本土博士獎學金的認可,顯示了他對推進知識和技術的承諾。阿巴西博士在知名的同行評審和分類科學期刊及會議上發表了超過25篇科學論文,對其專業領域的知識體系做出了重要貢獻。目前,阿巴西博士的研究處於機器人技術和自主系統的前沿,特別專注於非完整系統、非線性控制、滑模控制和自主系統的機器學習算法。