The 8th International Doctoral Symposium on Applied Computation and Security Systems (ACSS-2021) is to be held during April 09-10, 2021 in Kolkata, India. ACSS 2021 is aimed at offering a qualified opportunity for presentation and discussion of the research outcomes by PhD scholars enrolled with Universities and Research Institutes around the world. While the emphasis of the workshop is on Security Systems, we solicit research outcomes on other relevant areas pertaining to advancement of computing.
Extended version of selected papers are to be included in a Special Issue of the Springer Nature Journal of Innovations in Systems & Software Engineering (ISSE)Visit Journal
Department of Computer Science & Engineering
A. K. Choudhury School of Information Technology
University of Calcutta, India
The ACSS-2021 International Doctoral Symposium aims to facilitate PhD scholars to present and discuss their doctoral research with senior researchers in a constructive and friendly atmosphere. Each contributed paper must have at least one enrolled PhD student as the first author of the submission and his/her supervisor(s) as co-author(s). Since March 17, 2017, there have been a total of 4477 chapter downloads for the eBook on SpringerLink
Paper Submission Date : September 15, 2020
Extended Paper Submission Date : September 25, 2020
Author Notification : November 15, 2020
Camera Ready Submission & Author Registration : November 30, 2020
Symposium : April 09-10, 2021
We welcome all such authors to submit research papers to 8th International Doctoral Symposium on Applied Computation and Security Systems (ACSS-2021). Any work that is not presented in ACSS-2021 shall not be included in the conference book. This symposium would be best suited for scholars who already have a plan outlined for their dissertation in one of the following broad areas:
The submission draft for full papers should be limited to 10-12 pages. All papers will be carefully reviewed by the program committee and a balanced program will be selected based on relevance and technical soundness. Each paper will receive at least two blind reviews. Please note that author names, affiliations, etc. are not to be included in any form in the manuscript. The selected and presented works for ACSS 2021 are to be published after the symposium by Springer as an edited book in the Advances in Intelligent Systems and Computing (AISC) book series. Extended version of selected papers are to be included in a Special Issue in the Springer Nature Journal of Innovations in Systems & Software Engineering (ISSE).
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As Natural Language based communications between computers and human are gaining ground, the role of Natural Language Processing in cybersecurity is also gaining traction. While the notion of masking information in order to preserve privacy has matured considerably for structured data processing, these notions are new for Natural language based information exchange. NLP technologies like Named Entity Recognition and resolution, coreference resolution, entity linking, relation extraction etc. are essential to address these issues. On the other hand, increasing concerns with spreading of malicious information with malafide intentions is also prompting interest in language modeling tasks like detecting hidden and implicit sentiments, language identification and translation, stance and fake news detection, rumor detection, hate speech detection, clickbait detection, abuse detection etc. In this talk I will try to provide an overview of the problems and solution approaches in this fairly new yet exciting area.
Internet of Things (IoT) is a facilitating technology that helps bridge legacy, present, and futuristic technologies towards achieving a universal, uniform, faster, and deeper technological penetration in the modern day society. Besides bridging technological divides, IoT has resulted in the development of innovative schemes, solutions, and even technologies, which fill-in the gaps arising as a result of the convergence of numerous technologies and devices into a unified platform. From a networking perspective, innovation and developments in hardware, and algorithmic schemes for addressing, device management, topology management, energy optimization, and forecasting in various cross-domain areas have resulted in the huge popularity of IoT-based systems. Domains such as healthcare, agriculture, home automation, transportation, logistics, surveillance, defence, traffic management, power distribution, and others are some of the biggest consumers of IoT and IoT-based services. As a result of the need for convergence of a wide variety of information towards a common goal, technologies such as Cloud Computing, Sensor Cloud, Big Data, Software Defined Radios and Networks, Machine Learning, Deep Learning, Social Sensing, and Smartphone Computing have witnessed major developments in the recent few years. This talk will have special focus on showcasing some of the research works done by the Speaker on IoT at the SWAN Lab (http://cse.iitkgp.ac.in/~smisra/swan/) of IIT Kharagpur.
Internet of Things (IoT) is the network of interconnected things/devices which are embedded with sensors, software, network connectivity and necessary electronics that enables them to collect and exchange data. Major technologies involved with IoT are sensors, RFID (radio frequency identification), LoRa, Zigbee etc. Major objective of the IoT is connection of physical things to internet for monitoring, control, traceability and prediction. AI is mainly derived through exploration of advanced data analytics and subsequent extensive training. There are number of application areas of IoT and AI starting from environment pollution to weather forecasting and mining to smart living. India is the seventh biggest country in the world with a total land area of 3.2 million square kilometres. Average 70 per cent of the Indian population depends on farming, either directly or indirectly. Advent of latest progress in IoT and AI exhibits the forte in transformation of classical agriculture to smart agriculture in Indian context. This endeavor mainly focused on convergence of IoT and AI for smart agriculture. There are various applications of IoT and AI in agriculture sector, some of them are; agro climate prediction, weather forecasting, real time weather data dissemination, monitoring of plant health, quality estimation of agri produces, smart storage and e-auction of agri produces. More than last two decades C-DAC Kolkata is actively pursuing R&D on different technologies for smart agriculture through development of sensor based products/solutions with associated software and algorithms. This paper focuses towards the journey of C-DAC, Kolkata developed products with its underlying technologies and the application areas in Indian agriculture and environment. Keywords: Internet of Things (IoT), Artificial Intelligence (AI), Data analytics, Smart agriculture, Deep learning
Abstract: Systems having a mix of continuous and discrete dynamics are traditionally called hybrid systems. Recently, they are known as Cyber-Physical-Systems. In this talk, we would see simple examples of hybrid systems and means of mathematically modeling them with Hybrid Automata that enable their analysis. We then discuss an algorithm for safety verification of cyber-physical-systems using symbolic state-space exploration. Towards the end, we introduce two software tools SpaceEx and XSpeed that perform safety verification of hybrid systems and we see them in action.
“The important thing is not to stop questioning. Curiosity has its own reason for existing.” Albert Einstein. The quest of looking for answers is an unending journey. Previously, we used to look for the answers in a fat encyclopedia kept in our homes or in the library. Now we search for them in the internet. In contemporary scenario where the Internet is tending to a 5G connected world, we want our answers in the snap of our fingers. Keeping this in mind we introduce you to the Question Answering Systems prevalent in today’s world of ever-growing connectivity.
The ACSS 2021 books are to be published by Springer Nature. The ACSS book volume(s) are indexed by Thomson Reuters (ISI Proceedings), EI-Compendex, DBLP, SCOPUS, and others. Extended version of selected papers are to be included in a Special Issue in the Springer Nature Journal of Innovations in Systems & Software Engineering (ISSE).
Khalid Saeed, Warsaw University, Warsaw, Poland
Nabendu Chaki, University of Calcutta, Kolkata, India
Sankhayan Choudhury, University of Calcutta, Kolkata, India
Agostino Cortesi, Ca' Foscari University, Venice, Italy
Rituparna Chaki, University of Calcutta, Kolkata, India
Amlan Chakrabarti, University of Calcutta, Kolkata, India
Nagaraju Devarakonda, VIT-AP University, India
Monowar Bhuyan, Umea University, Sweden
Ca' Foscari University, Venice, Italy
Bialystok University of Technology, Poland
Ayan Dey, University of Calcutta, India
Souvick Das, University of Calcutta, India