Proceedings of the International Conference on Intelligent Computing, Communication and Information Security: Iciccis 2022
暫譯: 2022年國際智能計算、通信與資訊安全會議論文集：Iciccis 2022

本書包含在2022年11月25日至26日於印度齋浦爾的斯瓦米·克什萬南科技管理與鄉村發展學院（SKIT）舉辦的國際智能計算、通信與信息安全會議（ICICCIS 2022）上接受並展示的高品質研究論文。它提出了智能計算、通信和信息安全領域中的問題和挑戰的解決方案。本書提供了問題領域的背景，考慮到迄今為止的進展，評估此類方法的潛力，並探索作為一個易於訪問的單一來源的未來可能方向。

Vladan Devedzic is a Professor of Computer Science and Software Engineering at FON - School of Business Administration, University of Belgrade, Serbia. He also used to teach several Computer Science courses at the School of Electrical Engineering, University of Belgrade, as well as at the Military Academy of Serbia (ex Yugoslav Military Academy). Since 2021, he is a Corresponding Member of the Serbian Academy of Sciences and Arts (SASA). His long-term professional objective is to bring close together ideas from the broad fields of Artificial Intelligence / Intelligent Systems and Software Engineering. His current professional and research interests include programming education, software engineering, intelligent software systems and technology-enhanced learning (TEL). He is the founder and the chair of the GOOD OLD AI research network. Vladan Devedzic has authored/co-authored more than 370 research papers, published in international and national journals or presented at international and national conferences, as well as six books on intelligent systems and software engineering. Some of his papers have been selected by foreign editors and published in books on artificial intelligence systems.
Dr. Basant Agarwal is currently working as an Associate Professor at Computer Science and Engineering, Central University of Rajasthan. Dr Basant Agarwal holds a M.Tech. and Ph.D. in Computer Science and Engineering from Malaviya National Institute of Technology (MNIT) Jaipur, India. He has more than 9 years of experience in research and teaching. He has worked as a Postdoc Research Fellow at the Norwegian University of Science and Technology (NTNU), Norway, under the prestigious ERCIM (European Research Consortium for Informatics and Mathematics) fellowship in 2016. He has also worked as a Research Scientist at Temasek Laboratories, National University of Singapore (NUS), Singapore. He has worked on exploring the methods for knowledge extraction from text using deep learning algorithms, Convolutional Neural Network, Recurrent Neural Network etc. He has published more than 60 research papers in reputed conferences and Journals. His research interests include Deep Learning, Natural Language Processing, Machine Learning and Sentiment Analysis.

Mukesh Kumar Gupta is a Professor and Head in the Department of Computer Science & Engineering, at Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, India. Altogether he has 20 years of teaching and research experience. Dr. Gupta has received his Ph.D. in Computer Science & Engineering from Malaviya National Institute of Technology (MNIT), Jaipur, India. He has completed M.Tech in Computer Science and Engineering from Indian Institute of Technology (IIT), Bombay. Dr Gupta is an active member of Board of Studies (BOS), Department Research Committee for Department of Computer Sc. & Engineering, and many other committees at Rajasthan Technical University, Kota. He has authored one book, edited three conference proceedings, and published more than 50 technical papers in the referred journals and conference proceedings.The scope of his current research interests encompasses web application security, machine learning, deep learning and Internet of Things.

Vladan Devedzic 是塞爾維亞貝爾格萊德大學商學院 (FON) 的計算機科學與軟體工程教授。他曾在貝爾格萊德大學電機工程學院及塞爾維亞軍事學院（前南斯拉夫軍事學院）教授多門計算機科學課程。自2021年以來，他是塞爾維亞科學與藝術學院 (SASA) 的通訊會員。他的長期職業目標是將人工智慧/智能系統與軟體工程的廣泛領域的想法緊密結合。他目前的專業和研究興趣包括程式設計教育、軟體工程、智能軟體系統和技術增強學習 (TEL)。他是 GOOD OLD AI 研究網絡的創始人和主席。Vladan Devedzic 已經撰寫或合著了超過370篇研究論文，這些論文發表在國際和國內期刊上，或在國際和國內會議上發表，並且出版了六本關於智能系統和軟體工程的書籍。他的一些論文被外國編輯選中並發表在關於人工智慧系統的書籍中。

Basant Agarwal 博士目前擔任中央拉賈斯坦大學計算機科學與工程系的副教授。Basant Agarwal 博士擁有印度馬拉維亞國立技術學院 (MNIT) 瓦賈普爾的計算機科學與工程碩士 (M.Tech.) 和博士 (Ph.D.) 學位。他在研究和教學方面擁有超過9年的經驗。他曾在2016年獲得著名的 ERCIM（歐洲資訊與數學研究聯盟）獎學金，擔任挪威科技大學 (NTNU) 的博士後研究員。他還曾在新加坡國立大學 (NUS) 的 Temasek 實驗室擔任研究科學家。他的研究專注於使用深度學習算法、卷積神經網絡、遞迴神經網絡等方法從文本中提取知識。他在知名會議和期刊上發表了超過60篇研究論文。他的研究興趣包括深度學習、自然語言處理、機器學習和情感分析。

Mukesh Kumar Gupta 是印度賈瓦爾的斯瓦米·克什萬南德技術管理與村莊發展學院計算機科學與工程系的教授及系主任。他擁有20年的教學和研究經驗。Gupta 博士在印度馬拉維亞國立技術學院 (MNIT) 瓦賈普爾獲得計算機科學與工程博士學位。他在印度理工學院 (IIT) 孟買完成計算機科學與工程碩士學位。Gupta 博士是拉賈斯坦技術大學 (Rajasthan Technical University) 科學與工程系的研究委員會及多個其他委員會的活躍成員。他撰寫了一本書，編輯了三本會議論文集，並在同行評審的期刊和會議論文集中發表了超過50篇技術論文。他目前的研究興趣範圍包括網路應用安全、機器學習、深度學習和物聯網。