I-CAPCHA 18: IoT and Cloud based Collaborative Analytics for Prevention of Crimes and Heinous Activities
Philadelphia,, PA, United States, October 17-20, 2018
colocated with IEEE CIC 2018
Conference website http://www.sis.pitt.edu/lersais/cic/2018/index.html
Workshop website http://www.nitc.ac.in/icapcha
Submission link https://easychair.org/conferences/?conf=icapcha18
Submission deadline August 1, 2018



Crime prevention and timely aid to victims of criminal acts are challenging tasks for administrators and citizens, and   become increasingly complex with the advances in technology used by perpetrators of crimes. Using technological innovations to proactively predict and prevent crime, and to provide timely aid to victims, is the need of the times. Recently, social networking and cloud computing have been a witness to the execution of many criminal activities, providing powerful and easy mechanisms for the criminals to confer, plan and execute with absolute timely precision. IoTs are highly vulnerable to becoming the criminal’s playground as well, due to the absence of heavy access control and standardized security mechanisms.
On the other hand, with proper policies and mechanisms, and cloud based fast analytics, IoT devices can be not only made secure, they could also be tailored to play a prominent role in crime prevention.The scope for successful use of IoT in crime prevention arises from three aspects of their inherent nature, geographic coverage and universality, connectivity, and control over associated entities appliances/vehicles.IoT devices would typically generate huge volumes of data. Massive data generated by the IoT devices needs to be stored, accessed fast, and an analyzed to get meaningful activities done. Cloud based storage, cloud computing and big data analytics are crucial technologies for making IoT technology useful, especially for objectives like crime prevention.
The First IEEE International Workshop on IoT and Cloud based Collaborative Analytics for Prevention of Crimes and Heinous Activities (I-CAPCHA 2018)  welcomes research efforts in this emerging area, and solicits research papers on ideas, models, surveys and applications in  the area.
Submission Guidelines
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. The original typescript, of not more than 6 pages, should be submitted electronically in A4 size format in two-column IEEE proceeding format. All short papers must not be more than 3 pages long, with the formatting same as described above. All papers are refereed through a single blind process and should be submitted online.
https://easychair.org/conferences/?conf=icapcha18
 
List of Topics
The topics of interest include, but are by no means limited to:
* Predictive Analytics for crime prevention
* Big data Models for Data for potential crime related analysis
* Security for Big data Storage
* Cloud Service models for Crime Detection and Prevention
* Inter cloud operability for secure crime related data handling
* Architectural models for IoT device neworks for crime detection
* Security, privacy, and trust models for IoT for crime detection and Prevention
* Multi-Cloud/hybrid-Cloud support for IoT applications
* Collaboration models for IoT applications for collaborative crime detection
* Social Computing and Crime Detection, Prevention and Mitigation of Impact
* Collaborative Big Data Analytics for crime detection and prevention and challenges
* Formal models for IoT based crime detection, prevention and Predictive policing
 
Publication
All submitted papers will be rigorously reviewed. All accepted papers will made available in IEEE Xplore.
 I-CAPCHA 2018  is scheduled on October 18, 2018 and will be held at Philadelphia, Pennsylvania, USA. It is collocated with IEEE CIC conference.
 
Important Dates
Workshop: October 18, 2018
Submission Deadline: August 1, 2018
Notification of Acceptance: August 30, 2018
Camera Ready Copy Due: September 7, 2018
Contact
All questions about submissions should be emailed to 
priya@nitc.ac.in
madhu@nitc.ac.in