TY - GEN
T1 - Trustworthy intelligent industrial monitoring architecture for early event detection by exploiting social IoT
AU - Rehman, Abdul
AU - Paul, Anand
AU - Yaqub, Muhammad Azfar
AU - Rathore, Muhammad Mazhar Ullah
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/3/30
Y1 - 2020/3/30
N2 - Catastrophes like conflagration, noxious gases, chemical leakages, toxic smoke, and mishaps due to unsafe distance from the jeopardous situations are very common in industrial environment. Such calamities can cause colossal fiscal and loss of human lives. Adroit surveillance and early detection of such perilous events can impede the fiscal and social fiasco. In this research, an Industrial Smart Social Agent (ISSA) and Industrial Social Internet of Things (ISIoT) paradigm are introduced which empowers the intelligent objects to interact independently. ISSA entrust every IIoT object to communicate and collaborate with one and all to augment the surveillance in every industrial environment. ISSA controls all intelligent surveillance devices (i.e. sensors, cameras, robots etc.,) for monitoring and uses Machine Learning based Algorithm for event detection. Therefore, the proposed adroit surveillance system accomplishes early event detection resulting in minimum monetary and personnel damage.
AB - Catastrophes like conflagration, noxious gases, chemical leakages, toxic smoke, and mishaps due to unsafe distance from the jeopardous situations are very common in industrial environment. Such calamities can cause colossal fiscal and loss of human lives. Adroit surveillance and early detection of such perilous events can impede the fiscal and social fiasco. In this research, an Industrial Smart Social Agent (ISSA) and Industrial Social Internet of Things (ISIoT) paradigm are introduced which empowers the intelligent objects to interact independently. ISSA entrust every IIoT object to communicate and collaborate with one and all to augment the surveillance in every industrial environment. ISSA controls all intelligent surveillance devices (i.e. sensors, cameras, robots etc.,) for monitoring and uses Machine Learning based Algorithm for event detection. Therefore, the proposed adroit surveillance system accomplishes early event detection resulting in minimum monetary and personnel damage.
KW - Industrial internet of things (IIoT)
KW - Industrial smart social agent (ISSA)
KW - Industrial social internet of things (ISIoT)
KW - Trustworthy intelligent industrial monitoring architecture (TIIMA)
UR - http://www.scopus.com/inward/record.url?scp=85083039340&partnerID=8YFLogxK
U2 - 10.1145/3341105.3373996
DO - 10.1145/3341105.3373996
M3 - Conference contribution
AN - SCOPUS:85083039340
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 2163
EP - 2169
BT - 35th Annual ACM Symposium on Applied Computing, SAC 2020
PB - Association for Computing Machinery
T2 - 35th Annual ACM Symposium on Applied Computing, SAC 2020
Y2 - 30 March 2020 through 3 April 2020
ER -