update README

README.md

@@ -4,10 +4,10 @@ Detection and resolution mechanisms are intergrated into Security Controller of
 
 ## The intergration will include 4 new files stand for 4 main APIs respectively:
 
-- [ ] highLevelDetectionAPI.py: pair-wise conflicting rule checking API
-- [ ] partialOrderingRelationshipAPI.py: handle partial ordering relationship deployment and validation checker
-- [ ] separationConstraintAPI.py: handle separation constraint deployment and validation checker
-- [ ] checker.py: pair-wise rules checker to detect potential conflicting rules
+- [ ] *highLevelDetectionAPI.py*: pair-wise conflicting rule checking API
+- [ ] *partialOrderingRelationshipAPI.py*: handle partial ordering relationship deployment and validation checker
+- [ ] *separationConstraintAPI.py*: handle separation constraint deployment and validation checker
+- [ ] *checker.py*: pair-wise rules checker to detect potential conflicting rules
 
 ## Getting started
 
@@ -22,10 +22,10 @@ Detection and resolution mechanisms are intergrated into Security Controller of
 
 There are two main options for running the test on our mechanism:
 
-- [ ] Run server_detection_real_time.py which can be considered as real-time checking use case (Including auto rule generation, rule deployment, SC and POR specification, and detection)
-- [ ] server_detection_real_time_measurement.py is another version of the test case to evaluate the accuracy and measure execution time as well as RAM usage
+- [ ] Run *server_detection_real_time.py* which can be considered as real-time checking use case (Including auto rule generation, rule deployment, SC and POR specification, and detection)
+- [ ] *server_detection_real_time_measurement.py* is another version of the test case to evaluate the accuracy and measure execution time as well as RAM usage
 
 ## Supporting files
 
-- [ ] We add a folder 'MeasurementModule' which contains the supporting files used for evaluation purpose: rule generation, accuracy check, graph drawer for evaluation result output
-- [ ] Run MeasurementModule/drawGraph.py to see the result of our evaluation shown in the paper
+- [ ] We add a folder *MeasurementModule* which contains the supporting files used for evaluation purpose: rule generation, accuracy check, graph drawer for evaluation result output
+- [ ] Run *MeasurementModule/drawGraph.py* to see the result of our evaluation shown in the paper