Malware analysis的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Computer Security. ESORICS 2021 International Workshops: CyberICPS, SECPRE, ADIoT, SPOSE, CPS4CIP, and CDT&SECOMANE, Darmstadt,

為了解決Malware analysis的問題，作者 這樣論述：

CyberICPS 2021.- Communication and Cybersecurity Testbed for Autonomous Passenger Ship.- A Cybersecurity Ontology to Support Risk Information Gathering in Cyber-Physical Systems.- GLASS: Towards Secure and Decentralized eGovernance Services using IPFS.- Integrated Design Framework for Facilitating S

ystems-Theoretic Process Analysis.- Attack path analysis and cost-efficient selection of cybersecurity controls for com-plex cyberphysical systems.- Analysis of Cyber Security features in Industry 4.0 Maturity Models.- Cybersafety analysis of a natural language user interface for a consumer robotic

System.- SECPRE 2021.- Integrating Privacy-by-Design with Business Process Redesign.- Disclosing Social and Location Attributes on Social Media: The Impact on Users’ Privacy.- BioPrivacy: Development of a Keystroke Dynamics Continuous Authentication System.- Privacy and Informational Self-determinat

ion through Informed Consent: the Way Forward.- Building a Privacy Testbed: Use Cases and Design Considerations.- ADIoT 2021.- Assessing Vulnerabilities and IoT-enabled Attacks on Smart Lighting Systems.- TAESim: A Testbed for IoT Security Analysis of Trigger-action Environment.- Adversarial Command

Detection Using Parallel Speech Recognition Systems.- Security Measuring System for IoT Devices.- Battery Depletion Attacks on NB-IoT Devices using Interference.- Security- and privacy-aware IoT application placement and user assignment.- Room Identification with Personal Voice Assistants (Extended

Abstract).- SPOSE 2021.- Why IT Security Needs Therapy.- Transferring Update Behavior from Smartphones to Smart Consumer Devices.- Organisational Contexts of Energy Cybersecurity.- SMILE - Smart eMaIl Link domain Extractor.- A Semantic Model for Embracing Privacy as Contextual Integrity in the Inte

rnet of Things (Short Paper).- Data Protection Impact Assessments in Practice - Experiences from Case Studies.- CPS4CIP 2021.- Resilience quantification for critical infrastructure: Exemplified for airport Operations.- Severity level assessment from semantically fused video content analysis for phys

ical threat detection in ground segments of space systems.- Diminisher: A Linux Kernel based Countermeasure for TAA Vulnerability.- The Rise of ICS Malware: A Comparative Analysis.- CDT& SECOMANE 2021.- Framework proposal to measure the Stress as Adversarial Factor on Cyber Decision Making.- Measuri

ng the impact of Tactical Denial of Sustainability.- A Mathematical Framework for Evaluation of SOAR Tools with Limited Survey Data.

Proceedings of International Conference on Computational Intelligence and Emerging Power System: Iccips 2021

為了解決Malware analysis的問題，作者 這樣論述：

Professor Ramesh C. Bansal has more than 25 years of diversified experience of research, scholarship of teaching and learning, accreditation, industrial, and academic leadership in several countries. Currently, he is Professor in the Department of Electrical Engineering at University of Sharjah. Pre

viously, he was Professor and Group Head (Power) in the ECE Department at University of Pretoria (UP), South Africa. Prior to his appointment at UP, he was employed by the University of Queensland, Australia; University of the South Pacific, Fiji; BITS Pilani, India; and Civil Construction Wing, All

India Radio. He has significant experience of collaborating with industry and government organisations. He has made a significant contribution to the development and delivery of BS and ME programmes for utilities. He has extensive experience in the design and delivery of CPD programmes for professi

onal engineers. He has carried out research and consultancy and attracted significant funding from industry and government organisations. He has published over 325 journal articles, presented papers at conferences, books, and chapters in books. He has Google citations of over 11000 and h-index of 50

. He has supervised 25 Ph.D., 4 postdocs, and currently supervising 5 Ph.D. students. His diversified research interests are in the areas of renewable energy (wind, PV, microgrid), power systems, and smart grid. He is Editor/Associate Editor of several highly regarded journals including IEEE Systems

Journal, IET Renewable Power Generation, and Technology and Economics of Smart Grids and Sustainable Energy. He is Fellow and Chartered Engineer IET-UK, Fellow Institution of Engineers (India), and Senior Member of IEEE-USA.Dr. Akka Zemmari is an associate professor at LaBRI, University of Bordeaux

--CNRS. He received his Ph.D. degree and his HDR in Computer Science from Université Bordeaux in 2000 and 2009, respectively. His research areas deal with 1) the design, the analysis, and simulation of distributed algorithms, 2) the static/dynamic analysis of programs with application to malware det

ection, and 3) machine and deep learning with application to security aspects and to image analysis. Currently, he is serving as the head of Distributed Algorithms research group in LaBRI, the computer science research laboratory of the University of Bordeaux. He is PI/Co-PI of six research projects

which also includes Joint Indo-French projects. He has acted as a referee for the many international journals and international conferences. He has published over 30 research articles in reputed journals. He has published over 50 research articles in reputed conferences. He has published a book on

Deep Learning in Mining of Visual Content with Springer Briefs in Computer Science ISBN 978-3-030- 34376-7.Dr. K. G. Sharma is an associate professor and the head of Electrical Engineering (EE) at Govt. Engineering College Ajmer, Rajasthan. He is contributing in the engineering profession since 20 y

ears. He received the B. Tech. degree in EE from CTAE, Udaipur, M.Tech. in Power System from MNIT, Jaipur, and Ph.D. degree in EE from RTU, Kota. He published 25 national and international research papers, presented papers at conferences, authored 01 book, received education excellence award, and su

pervised more than 10 PG students. He is qualified as certified energy auditor of BEE. He is PI/Co-PI of three CRS projects under TEQIP-III. He has got two patents. His diversified research interests are in the areas of power system stability, renewable energy sources, spectral analysis, power syste

m dynamics and control. Dr. Sharma is a fellow of the Institution of Engineers India, Life Member of Indian Society for Technical Education (ISTE), Member of ISHRAE and ISLE, Member of Soft Computing Research Society. He is a member of various prestigious boards, DRC, inspection committee of univers

ity and AICTE. He has delivered several expert talks. He is a reviewer of many repute Journals of Research along with several international conferences. He has organized FDPs/STC/workshops along with one international conference. Dr. Jyoti Gajrani is an assistant professor and the head of the Depart

ment of Computer Science and Engineering at Engineering College Ajmer (Rajasthan). She completed B.Tech. in Computer Engineering from Mody Institute of Engineering and Technology, Lakshmangarh, Rajasthan, M.Tech. in Computer Engineering from the Indian Institute of Technology, Bombay, and Ph.D. in C

omputer Science and Engineering from Malaviya National Institute of Technology, Jaipur. She has 15 years of teaching and research experience. She has successfully supervised 05 M.Tech. scholars and 05 are currently working. Her research interests include the area of security and privacy, computation

al intelligence, operating system, and system software. She has received special reorganization by Dr. Nitin Deep Blaggan, Ex-SP Ajmer for development of Ajmer Police Traffic App. She is Co-PI in project titled ＂Performance Measurement of Security Algorithms on IoT Devices＂ under competitive researc

h scheme by Rajasthan Technical University (TEQIP-III) with grant of 2.4 lakh. She has published around 40 research papers in reputed international journals and conferences including SCI and Scopus indexed papers. She is the author of one book on Telecommunication Engineering Fundamentals. She has d

elivered several expert talks. She is reviewer of IETE Journal of Research (Taylor and Fransis) and ACM DTRAP along with several international conferences ICCIS 2020, ICDLAIR2019, INDICON 2019, SIN 2017, SIN 2018. She has organized more than 30 FDPs, STCs hackathons, and international conferences.

運用機器學習強化網路攻擊偵測之研究

為了解決Malware analysis的問題，作者徐家銘 這樣論述：

數位時代驅動科技快速發展，同時也帶來網路新型態威脅。後疫情時代帶來工作型態的改變，更將世界數位轉型浪潮推至最高，網路威脅趨勢亦加速攀升。以近年快速發展的勒索軟體威脅為例，黑色產業鏈的成熟與勒索軟體即服務（Ransomware-as-a-Service，RaaS）犯罪模式的出現，使得過去需要高深技術的網路攻擊，現在只要透過購買服務，就有完整工具與教學。任何人都可以是駭客。傳統資安防禦形式已面臨巨大挑戰；而近年興起的機器學習技術，則為網路攻擊偵測問題提供另一解決之道。本論文首先深入研究網路攻擊本質，釐清問題核心，透過分析現行網路攻擊流程，將原有7個步驟重新定義為3個關鍵偵測點，並探討各關鍵偵測點

所用技術與原理；接續，提出可行之機器學習偵測模型並實作驗證，我們參考過去網路攻擊偵測的相關研究，針對3個關鍵偵測點分別運用現行網路資源與建立仿真模擬環境，收集資料集，並選擇合適偵測模型進行實驗，實驗結果顯示所提出之模型均有不錯的偵測率。本研究主要貢獻在於結合實務經驗，分析完整網路攻擊全貌與問題本質，歸納定義攻擊流程關鍵偵測點，並找出可行之機器學習解決方案，論文最後亦針對3個關鍵偵測點分別提出未來研究建議，以協助完善網路攻擊偵測研究能量。